Self-describing data format for DMA in a non-volatile solid-state storage

Information

  • Patent Grant
  • 9747229
  • Patent Number
    9,747,229
  • Date Filed
    Thursday, July 3, 2014
    10 years ago
  • Date Issued
    Tuesday, August 29, 2017
    7 years ago
Abstract
A method of applying a data format in a direct memory access transfer is provided. The method includes distributing user data throughout a plurality of storage nodes through erasure coding, wherein the plurality of storage nodes are housed within a single chassis that couples the storage nodes as a cluster, each of the plurality of storage nodes having nonvolatile solid-state memory for user data storage. The method includes reading a self-describing data portion from a first memory of the nonvolatile solid-state memory and extracting a destination from the self-describing data portion. The method includes writing data, from the self-describing data portion, to a second memory of the nonvolatile solid-state memory according to the destination.
Description
BACKGROUND

Solid-state memory, such as flash, is currently in use in solid-state drives (SSD) to augment or replace conventional hard disk drives (HDD), writable CD (compact disk) or writable DVD (digital versatile disk) drives, collectively known as spinning media, and tape drives, for storage of large amounts of data. Flash and other solid-state memories have characteristics that differ from spinning media. Yet, many solid-state drives are designed to conform to hard disk drive standards for compatibility reasons, which makes it difficult to provide enhanced features or take advantage of unique aspects of flash and other solid-state memory. Data formats conforming to hard disk drive standards may be suboptimal when applied to solid-state memory.


It is within this context that the embodiments arise.


SUMMARY

In some embodiments, a method of applying a data format in a direct memory access transfer is provided. The method includes distributing user data throughout a plurality of storage nodes through erasure coding, wherein the plurality of storage nodes are housed within a single chassis that couples the storage nodes as a cluster, each of the plurality of storage nodes having nonvolatile solid-state memory for user data storage. The method includes reading a self-describing data portion from a first memory of the nonvolatile solid-state memory and extracting a destination from the self-describing data portion. The method includes writing data, from the self-describing data portion, to a second memory of the nonvolatile solid-state memory according to the destination, wherein at least one method operation is performed by a processor.


Other aspects and advantages of the embodiments will become apparent from the following detailed description taken in conjunction with the accompanying drawings which illustrate, by way of example, the principles of the described embodiments.





BRIEF DESCRIPTION OF THE DRAWINGS

The described embodiments and the advantages thereof may best be understood by reference to the following description taken in conjunction with the accompanying drawings. These drawings in no way limit any changes in form and detail that may be made to the described embodiments by one skilled in the art without departing from the spirit and scope of the described embodiments.



FIG. 1 is a perspective view of a storage cluster with multiple storage nodes and internal storage coupled to each storage node to provide network attached storage, in accordance with some embodiments.



FIG. 2 is a system diagram of an enterprise computing system, which can use one or more of the storage clusters of FIG. 1 as a storage resource in some embodiments.



FIG. 3 is a multiple level block diagram, showing contents of a storage node and contents of one of the non-volatile solid-state storages in accordance with some embodiments.



FIG. 4 is a block diagram showing a communication path for redundant copies of metadata, with further details of storage nodes and solid-state storages in accordance with some embodiments.



FIG. 5 is an address and data diagram showing address translation as applied to user data being stored in some embodiments.



FIG. 6 is a block diagram showing a DMA unit transferring data that has a self-describing data format, in in some embodiments.



FIG. 7 is a flow diagram of a method for applying a self-describing data format to a direct memory access transfer in some embodiments.



FIG. 8 is an illustration showing an exemplary computing device which may implement the embodiments described herein.





DETAILED DESCRIPTION

The embodiments below describe a storage cluster that stores user data, such as user data originating from one or more user or client systems or other sources external to the storage cluster. The storage cluster distributes user data across storage nodes housed within a chassis, using erasure coding and redundant copies of metadata. Erasure coding refers to a method of data protection in which data is broken into fragments, expanded and encoded with redundant data pieces and stored across a set of different locations, such as disks, storage nodes or geographic locations. Flash memory is one type of solid-state memory that may be integrated with the embodiments, although the embodiments may be extended to other types of solid-state memory or other storage medium, including non-solid state memory. Control of storage locations and workloads are distributed across the storage locations in a clustered peer-to-peer system. Tasks such as mediating communications between the various storage nodes, detecting when a storage node has become unavailable, and balancing I/Os (inputs and outputs) across the various storage nodes, are all handled on a distributed basis. Data is laid out or distributed across multiple storage nodes in data fragments or stripes that support data recovery in some embodiments. Ownership of data can be reassigned within a cluster, independent of input and output patterns. This architecture described in more detail below allows a storage node in the cluster to fail, with the system remaining operational, since the data can be reconstructed from other storage nodes and thus remain available for input and output operations. In various embodiments, a storage node may be referred to as a cluster node, a blade, or a server.


The storage cluster is contained within a chassis, i.e., an enclosure housing one or more storage nodes. A mechanism to provide power to each storage node, such as a power distribution bus, and a communication mechanism, such as a communication bus that enables communication between the storage nodes are included within the chassis. The storage cluster can run as an independent system in one location according to some embodiments. In one embodiment, a chassis contains at least two instances of the power distribution and the internal and external communication bus which may be enabled or disabled independently. The internal communication bus may be an Ethernet bus, however, other technologies such as Peripheral Component Interconnect (PCI) Express, InfiniBand, and others, are equally suitable. The chassis provides a port for an external communication bus for enabling communication between multiple chassis, directly or through a switch, and with client systems. The external communication may use a technology such as Ethernet, InfiniBand, Fibre Channel, etc. In some embodiments, the external communication bus uses different communication bus technologies for inter-chassis and client communication. If a switch is deployed within or between chassis, the switch may act as a translation between multiple protocols or technologies. When multiple chassis are connected to define a storage cluster, the storage cluster may be accessed by a client using either proprietary interfaces or standard interfaces such as network file system (NFS), common internet file system (CIFS), small computer system interface (SCSI) or hypertext transfer protocol (HTTP). Translation from the client protocol may occur at the switch, chassis external communication bus or within each storage node.


Each storage node may be one or more storage servers and each storage server is connected to one or more non-volatile solid state memory units, which may be referred to as storage units. One embodiment includes a single storage server in each storage node and between one to eight non-volatile solid state memory units, however this one example is not meant to be limiting. The storage server may include a processor, dynamic random access memory (DRAM) and interfaces for the internal communication bus and power distribution for each of the power buses. Inside the storage node, the interfaces and storage unit share a communication bus, e.g., PCI Express, in some embodiments. The non-volatile solid state memory units may directly access the internal communication bus interface through a storage node communication bus, or request the storage node to access the bus interface. The non-volatile solid state memory unit contains an embedded central processing unit (CPU), solid state storage controller, and a quantity of solid state mass storage, e.g., between 2-32 terabytes (TB) in some embodiments. An embedded volatile storage medium, such as DRAM, and an energy reserve apparatus are included in the non-volatile solid state memory unit. In some embodiments, the energy reserve apparatus is a capacitor, super-capacitor, or battery that enables transferring a subset of DRAM contents to a stable storage medium in the case of power loss. In some embodiments, the non-volatile solid state memory unit is constructed with a storage class memory, such as phase change or other resistive random access memory (RRAM) or magnetoresistive random access memory (MRAM) that substitutes for DRAM and enables a reduced power hold-up apparatus.


The storage nodes have one or more non-volatile solid-state storage units, each of which has non-volatile random-access memory (NVRAM) and flash memory, in some embodiments. The non-volatile solid-state storage units apply various address spaces for storing user data. Data is written to NVRAM to await transfer to flash memory, and this data has a self-describing format. Self-describing data portions written to NVRAM have a status section, a destination section, and the data. In each non-volatile solid-state storage unit a direct memory access (DMA) unit determines the destination for the data in the NVRAM, and writes the data to the flash memory accordingly. This operation is conditioned on the status from the status section, which the DMA updates to confirm the write to flash. The DMA unit also writes an identifier to the header of the flash page on which the data is written. Applying this self-describing data format to DMA transfers enhances overall data throughput and efficiency.



FIG. 1 is a perspective view of a storage cluster 160, with multiple storage nodes 150 and internal solid-state memory coupled to each storage node to provide network attached storage or storage area network, in accordance with some embodiments. A network attached storage, storage area network, or a storage cluster, or other storage memory, could include one or more storage clusters 160, each having one or more storage nodes 150, in a flexible and reconfigurable arrangement of both the physical components and the amount of storage memory provided thereby. The storage cluster 160 is designed to fit in a rack, and one or more racks can be set up and populated as desired for the storage memory. The storage cluster 160 has a single chassis 138 having multiple slots 142. It should be appreciated that chassis 138 may be referred to as a housing, enclosure, or rack unit. In one embodiment, the chassis 138 has fourteen slots 142, although other numbers of slots are readily devised. For example, some embodiments have four slots, eight slots, sixteen slots, thirty-two slots, or other suitable number of slots. Each slot 142 can accommodate one storage node 150 in some embodiments. Chassis 138 includes flaps 148 that can be utilized to mount the chassis 138 on a rack. Fans 144 provide air circulation for cooling of the storage nodes 150 and components thereof, although other cooling components could be used, or an embodiment could be devised without cooling components. A switch fabric 146 couples storage nodes 150 within chassis 138 together and to a network for communication to the memory. In an embodiment depicted in FIG. 1, the slots 142 to the left of the switch fabric 146 and fans 144 are shown occupied by storage nodes 150, while the slots 142 to the right of the switch fabric 146 and fans 144 are empty and available for insertion of storage node 150 for illustrative purposes. This configuration is one example, and one or more storage nodes 150 could occupy the slots 142 in various further arrangements. The storage node arrangements need not be sequential or adjacent in some embodiments. Storage nodes 150 are hot pluggable, meaning that a storage node 150 can be inserted into a slot 142 in the chassis 138, or removed from a slot 142, without stopping or powering down the system. Upon insertion or removal of storage node 150 from slot 142, the system automatically reconfigures in order to recognize and adapt to the change. Reconfiguration, in some embodiments, includes restoring redundancy and/or rebalancing data or load.


Each storage node 150 can have multiple components. In the embodiment shown here, the storage node 150 includes a printed circuit board 158 populated by a CPU 156, i.e., processor, a memory 154 coupled to the CPU 156, and a non-volatile solid state storage 152 coupled to the CPU 156, although other mountings and/or components could be used in further embodiments. The memory 154 has instructions which are executed by the CPU 156 and/or data operated on by the CPU 156. As further explained below, the non-volatile solid state storage 152 includes flash or, in further embodiments, other types of solid-state memory.


Storage cluster 160 is scalable, meaning that storage capacity with non-uniform storage sizes is readily added, as described above. One or more storage nodes 150 can be plugged into or removed from each chassis and the storage cluster self-configures in some embodiments. Plug-in storage nodes 150, whether installed in a chassis as delivered or later added, can have different sizes. For example, in one embodiment a storage node 150 can have any multiple of 4 TB, e.g., 8 TB, 12 TB, 16 TB, 32 TB, etc. In further embodiments, a storage node 150 could have any multiple of other storage amounts or capacities. Storage capacity of each storage node 150 is broadcast, and influences decisions of how to stripe the data. For maximum storage efficiency, an embodiment can self-configure as wide as possible in the stripe, subject to a predetermined requirement of continued operation with loss of up to one, or up to two, non-volatile solid state storage units 152 or storage nodes 150 within the chassis.



FIG. 2 is a system diagram of an enterprise computing system 102, which can use one or more of the storage nodes, storage clusters and/or non-volatile solid-state storage of FIG. 1 as a storage resource 108. For example, flash storage 128 of FIG. 2 may integrate the storage nodes, storage clusters and/or non-volatile solid-state storage of FIG. 1 in some embodiments. The enterprise computing system 102 has processing resources 104, networking resources 106 and storage resources 108, including flash storage 128. A flash controller 130 and flash memory 132 are included in the flash storage 128. In various embodiments, the flash storage 128 could include one or more storage nodes or storage clusters, with the flash controller 130 including the CPUs, and the flash memory 132 including the non-volatile solid-state storage of the storage nodes. In some embodiments flash memory 132 may include different types of flash memory or the same type of flash memory. The enterprise computing system 102 illustrates an environment suitable for deployment of the flash storage 128, although the flash storage 128 could be used in other computing systems or devices, larger or smaller, or in variations of the enterprise computing system 102, with fewer or additional resources. The enterprise computing system 102 can be coupled to a network 140, such as the Internet, in order to provide or make use of services. For example, the enterprise computing system 102 could provide cloud services, physical computing resources, or virtual computing services.


In the enterprise computing system 102, various resources are arranged and managed by various controllers. A processing controller 110 manages the processing resources 104, which include processors 116 and random-access memory (RAM) 118. Networking controller 112 manages the networking resources 106, which include routers 120, switches 122, and servers 124. A storage controller 114 manages storage resources 108, which include hard drives 126 and flash storage 128. Other types of processing resources, networking resources, and storage resources could be included with the embodiments. In some embodiments, the flash storage 128 completely replaces the hard drives 126. The enterprise computing system 102 can provide or allocate the various resources as physical computing resources, or in variations, as virtual computing resources supported by physical computing resources. For example, the various resources could be implemented using one or more servers executing software. Files or data objects, or other forms of data, are stored in the storage resources 108.


In various embodiments, an enterprise computing system 102 could include multiple racks populated by storage clusters, and these could be located in a single physical location such as in a cluster or a server farm. In other embodiments the multiple racks could be located at multiple physical locations such as in various cities, states or countries, connected by a network. Each of the racks, each of the storage clusters, each of the storage nodes, and each of the non-volatile solid-state storage could be individually configured with a respective amount of storage space, which is then reconfigurable independently of the others. Storage capacity can thus be flexibly added, upgraded, subtracted, recovered and/or reconfigured at each of the non-volatile solid-state storages. As mentioned previously, each storage node could implement one or more servers in some embodiments.



FIG. 3 is a multiple level block diagram, showing contents of a storage node 150 and contents of a non-volatile solid state storage 152 of the storage node 150. Data is communicated to and from the storage node 150 by a network interface controller (NIC) 202 in some embodiments. Each storage node 150 has a CPU 156, and one or more non-volatile solid state storage 152, as discussed above. Moving down one level in FIG. 3, each non-volatile solid state storage 152 has a relatively fast non-volatile solid state memory, such as nonvolatile random access memory (NVRAM) 204, and flash memory 206. In some embodiments, NVRAM 204 may be a component that does not require program/erase cycles (DRAM, MRAM, PCM), and can be a memory that can support being written vastly more often than the memory is read from. Moving down another level in FIG. 3, the NVRAM 204 is implemented in one embodiment as high speed volatile memory, such as dynamic random access memory (DRAM) 216, backed up by energy reserve 218. Energy reserve 218 provides sufficient electrical power to keep the DRAM 216 powered long enough for contents to be transferred to the flash memory 206 in the event of power failure. In some embodiments, energy reserve 218 is a capacitor, super-capacitor, battery, or other device, that supplies a suitable supply of energy sufficient to enable the transfer of the contents of DRAM 216 to a stable storage medium in the case of power loss. The flash memory 206 is implemented as multiple flash dies 222, which may be referred to as packages of flash dies 222 or an array of flash dies 222. It should be appreciated that the flash dies 222 could be packaged in any number of ways, with a single die per package, multiple dies per package (i.e. multichip packages), in hybrid packages, as bare dies on a printed circuit board or other substrate, as encapsulated dies, etc. In the embodiment shown, the non-volatile solid state storage 152 has a controller 212 or other processor, and an input output (I/O) port 210 coupled to the controller 212. I/O port 210 is coupled to the CPU 156 and/or the network interface controller 202 of the flash storage node 150. Flash input output (I/O) port 220 is coupled to the flash dies 222, and a direct memory access unit (DMA) 214 is coupled to the controller 212, the DRAM 216 and the flash dies 222. In the embodiment shown, the I/O port 210, controller 212, DMA unit 214 and flash I/O port 220 are implemented on a programmable logic device (PLD) 208, e.g., a field programmable gate array (FPGA). In this embodiment, each flash die 222 has pages, organized as sixteen kB (kilobyte) pages 224, and a register 226 through which data can be written to or read from the flash die 222. In further embodiments, other types of solid-state memory are used in place of, or in addition to flash memory illustrated within flash die 222.


In NVRAM 204, redundancy is not organized by segments but instead by messages, where each message (128 bytes to 128 kB) establishes its own data stripe, in some embodiments. NVRAM is maintained at the same redundancy as segment storage and operates within the same storage node groups in some embodiments. Because messages are stored individually the stripe width is determined both by message size and the storage cluster configuration. Larger messages may be more efficiently stored as wider strips.


Two of the many tasks of the CPU 156 on a storage node 150 are to break up write data, and reassemble read data. When the system has determined that data is to be written, an authority for that data is located in one of the non-volatile solid-state storages 152. The authority may be embodied as metadata, including one or more lists such as lists of data segments which the nonvolatile solid-state storage 152 manages. When a segment ID for data is already determined the request to write is forwarded to the non-volatile solid-state storage 152 currently determined to be the host of the authority determined from the segment. The host CPU 156 of the storage node 150, on which the non-volatile solid-state storage 152 and corresponding authority reside, then breaks up or shards the data and transmits the data out to various non-volatile solid-state storage 152. The transmitted data is written as a data stripe in accordance with an erasure coding scheme. In some embodiments, data is requested to be pulled, and in other embodiments, data is pushed. In reverse, when data is read, the authority for the segment ID containing the data is located as described above. The host CPU 156 of the storage node 150 on which the non-volatile solid-state storage 152 and corresponding authority reside requests the data from the non-volatile solid-state storage and corresponding storage nodes pointed to by the authority. In some embodiments the data is read from flash storage as a data stripe. The host CPU 156 of storage node 150 then reassembles the read data, correcting any errors (if present) according to the appropriate erasure coding scheme, and forwards the reassembled data to the network. In further embodiments, some or all of these tasks can be handled in the non-volatile solid-state storage 152. In some embodiments, the segment host requests the data be sent to storage node 150 by requesting pages from storage and then sending the data to the storage node making the original request.


In some systems, for example in UNIX-style file systems, data is handled with an index node or inode, which specifies a data structure that represents an object in a file system. The object could be a file or a directory, for example. Metadata may accompany the object, as attributes such as permission data and a creation timestamp, among other attributes. A segment number could be assigned to all or a portion of such an object in a file system. In other systems, data segments are handled with a segment number assigned elsewhere. For purposes of discussion, the unit of distribution is an entity, and an entity can be a file, a directory or a segment. That is, entities are units of data or metadata stored by a storage system. Entities are grouped into sets called authorities. Each authority has an authority owner, which is a storage node that has the exclusive right to update the entities in the authority. In other words, a storage node contains the authority, and that the authority, in turn, contains entities.


A segment is a logical container of data in accordance with some embodiments. A segment may be an address space between medium address space and physical flash locations. Each data segment is protected, e.g., from memory and other failures, by breaking the segment into a number of data and parity shards, where applicable. The data and parity shards are distributed, i.e., striped, across non-volatile solid-state storages 152 coupled to the host CPUs 156 in accordance with an erasure coding scheme. Usage of the term segments refers to the container and its place in the address space of segments in some embodiments. Usage of the term stripe refers to the same set of shards as a segment and includes how the shards are distributed along with redundancy or parity information in accordance with some embodiments.


A series of address-space transformations takes place across an entire storage system. At the top is the inode address space, which the filesystem uses to translate file paths to inode IDs (Identifications). Inodes point into medium address space, where data is logically stored. Medium addresses are mapped into segment address space. Segment addresses are then translated into physical flash locations. Physical flash locations have an address range bounded by the amount of flash in the system in accordance with some embodiments. Medium addresses and segment addresses are logical containers, and in some embodiments use a 128 bit or larger identifier so as to be practically infinite, with a likelihood of reuse calculated as longer than the expected life of the system. Addresses from logical containers are allocated in a hierarchical fashion in some embodiments. Initially, each non-volatile solid-state storage 152 may be assigned a range of address space. Within this assigned range, the non-volatile solid-state storage 152 is able to allocate addresses without synchronization with other non-volatile solid-state storage 152.


Data and metadata are stored by a set of underlying storage layouts that are optimized for varying workload patterns and storage devices. These layouts incorporate multiple redundancy schemes, compression formats and index algorithms. Some of these layouts store information about authorities and authority masters, while others store file metadata and file data. The redundancy schemes include error correction codes that tolerate corrupted bits within a single storage device (such as a NAND flash chip), erasure codes that tolerate the failure of multiple storage nodes, and replication schemes that tolerate data center or regional failures. In some embodiments, low density parity check (LDPC) code is used within a single storage unit. Data is not further replicated within a storage cluster, as it is assumed a storage cluster may fail. Reed-Solomon encoding is used within a storage cluster, and mirroring is used within a storage grid in some embodiments. Metadata may be stored using an ordered log structured index (such as a Log Structured Merge Tree), and large data may be stored in an unordered log structured layout (similar to log structured file systems).



FIG. 4 is a block diagram showing a communication path 234 for redundant copies of metadata 230, with further details of flash storage nodes 150 (i.e., storage nodes 150 having flash memory) and non-volatile solid-state storages 152 in accordance with some embodiments. Metadata 230 includes information about the user data that is written to or read from the flash memory 206. Metadata 230 can include messages, or derivations from the messages, indicating actions to be taken or actions that have taken place involving the data that is written to or read from the flash memory 206. Distributing redundant copies of metadata 230 to the non-volatile solid-state storage units 152 through the communication interconnect 170 ensures that messages are persisted and can survive various types of failure the system may experience. Each non-volatile solid-state storage 152 dedicates a portion of the NVRAM 204 to storing metadata 230. In some embodiments, redundant copies of metadata 230 are stored in the additional non-volatile solid-state storage 152.


Flash storage nodes 150 are coupled via the communication interconnect 170. More specifically, the network interface controller 202 of each storage node 150 in the storage cluster is coupled to the communication interconnect 170, providing a communication path 234 among storage nodes 150 and non-volatile solid-state storage 152. Storage nodes 150 have one or more non-volatile solid-state storage units 152. Non-volatile solid-state storage units 152 internal to a storage node can communicate with each other, for example via a bus, a serial communication path, a network path or other communication path 234 as readily devised in accordance with the embodiments disclosed herein. Communication interconnect 170 can be included in or implemented with the switch fabric of FIG. 1 in some embodiments. Storage nodes 150 of FIG. 4 form a storage cluster that is enclosed within a single chassis that has an internal power distribution bus within the chassis as described with reference to FIG. 1.


Referring to FIGS. 3 and 4, in case of a power failure, whether local to non-volatile solid-state storage 152 or a storage node 150, data can be copied from the NVRAM 204 to the flash memory 206. For example, the DMA unit 214 of FIG. 3 can copy contents of the NVRAM 204, including the metadata, to the flash memory 206, using power supplied by the energy reserve 218. Energy reserve 218 is sized with sufficient capacity to support copy operation. That is, the energy reserve 218 should be sized so as to provide sufficient current at a sufficient voltage level for a time duration long enough to complete the copying so that messages that are in metadata 230 are persisted in the flash memory 206.


A further mechanism for persisting messages in a storage system involves the communication path 234 described above in FIG. 4. Redundant copies of the metadata 230 can be distributed via the communication path 234, in various ways. For example, a message coming from the filesystem could be distributed via the communication interconnect 170 as a broadcast over the communication path 234 to all of the non-volatile solid-state storages 152. A non-volatile solid-state storage 152 could send a copy of metadata 230 over the communication path 234 to other non-volatile solid-state storage 152 in a storage node 150. CPU 156 on a storage node 150, receiving a message from the communication interconnect 170 via the network interface controller 202 could send a copy of the message to each solid-state storage 152. The CPU 156 may rebroadcast the message to other flash storage nodes 150, and the flash storage nodes 150 could then distribute the message to the solid-state storages 152 in each of these flash storage nodes 150 in some embodiments. In these and other uses of the communication path 234, redundant copies of the metadata 230 can be distributed to the non-volatile solid-state storages 152. Then, if one non-volatile solid-state storage 152, or one storage node 150 experiences a failure, redundant copies of any message are available in metadata 230 of at least one other non-volatile solid-state storage 152. Each non-volatile solid-state storage 152 can apply decision logic 232 when evaluating various situations such as local power failure, an unreachable node, or instructions to consider or commence a data recovery or a data rebuild. The decision logic 232 includes witnessing logic, voting logic, consensus logic and/or other types of decision logic in various embodiments. Decision logic 232 could be implemented in hardware, software executing on the controller 212, firmware, or combinations thereof, and could be implemented as part of the controller 212 or coupled to the controller 212. The decision logic 232 is employed in consensus decisions among multiple solid-state storage units 152, in some embodiments. In further embodiments, the decision logic 232 could cooperate with the other non-volatile solid-state storage units 152 in order to gather copies of the redundant metadata 230, and make local decisions. The mechanisms for persisting messages in a storage system are useful in the event of a failure, and can be used in data recovery and reconstruction as described above.


Examples of messages include a request to write data, a request to read data, a request to lock or unlock a file, a change in permission of a file, an update to a file allocation table or other file or directory structure, a request to write a file that has executable instructions or to write a file name that is reserved and interpreted as an executable direction, updates to one or more authorities, updates to a fingerprint table, list or other data used in deduplication, updates to hash tables, updates to logs, and so on. When a message is received in non-volatile solid-state storage 152 of a storage node 150, indicating some action has taken place, the message or a derivation of the message is stored as metadata 230 in the NVRAM 204 of that solid-state storage 152. By applying the redundant copies of the metadata 230, actions are captured that are in progress, so that if a failure happens, these actions can be replayed and replacement actions can then be performed, for example upon restart. Actions span storage nodes and use cluster messaging, so the act of sending a message can be made persistent data via one or more of the mechanisms for persisting messages. These mechanisms address some of the known failure scenarios in order to ensure availability of data. In some embodiments, the messages don't require permanence beyond completion of the actions. In other embodiments the messages are further retained to facilitate rollback or other recovery operations.


For example, if a command is sent out to carry out a write operation, this message is recorded and redundant. If there is a failure, it can be determined whether or not that action has been carried out, and whether or not the action should be driven to completion. Such determination can be carried out using the decision logic 232 in each non-volatile solid-state storage 152. There is dedicated storage in NVRAM 204 for messages and other metadata 230, so that messages are recorded in the non-volatile solid-state storage 152 and replicated in some embodiments. The messages and other metadata 230 are written into flash memory 206 if one non-volatile solid-state storage 152 experiences a power failure or if the entire system experiences a power failure or otherwise shuts down. The redundancy level of the messages matches the redundancy level of the metadata in some embodiments. When there are sufficient numbers of copies of messages, the message becomes irrevocable. If one node goes down, other nodes can vote, achieve consensus, or witness the various copies of the message and determine what action, if any, to carry to completion. If the entire system goes down, e.g., through a global power failure, then a sufficient number of these messages get written from NVRAM 204 to flash memory 206. Upon restoration of power, the nodes can again open copies of the message and determine what action, if any, to carry to completion to prevent any corruption.


With continued reference to FIGS. 3 and 4, storage node 150 of a storage cluster 160 includes two levels of controllers. There is a host CPU 156 in the storage node 150, and there is a controller 212 in the non-volatile solid-state storage 152. The controller 212 can be considered a flash memory controller, which serves as a bridge between the host CPU 156 and the flash memory 206. Each of these controllers, namely the host CPU 156 and the flash controller 212, can be implemented as one or more processors or controllers of various types from various manufacturers. The host CPU 156 can access both the flash memory 206 and the NVRAM 204 as distinct resources, with each being independently (i.e., individually) addressable by the host CPU 156.


By separating the NVRAM 204 and the flash memory 206 into distinct resources, not all data placed in the NVRAM 204 must be written to the flash memory 206. The NVRAM 204 can also be employed for various functions and purposes. For example, updates to the NVRAM 204 can be made obsolete by newer updates to the NVRAM 204. A later transfer of user data from the NVRAM 204 to the flash memory 206 can transfer the updated user data, without transferring the obsolete user data to the flash memory 206. This reduces the number of erasure cycles of the flash memory 206, reduces wear on the flash memory 206, and moves data more efficiently. The CPU 156 can write to the NVRAM 204 at a smaller granularity than the granularity of the transfers from the NVRAM 204 to the flash memory 206. For example, the CPU 156 could perform 4 kB writes to the NVRAM 204, and the DMA unit 214 could perform a page write of 16 kB from the NVRAM 204 to the flash memory 206 under direction of the controller 212. The ability to collect multiple writes of user data to the NVRAM 204 prior to writing the user data from the NVRAM 204 to the flash memory 206 increases writing efficiency. In some embodiments, a client write of user data is acknowledged at the point at which the user data is written to the NVRAM 204. Since the energy reserve 218, described above with reference to FIG. 3, provides sufficient power for a transfer of contents of the NVRAM 204 to the flash memory 206, the acknowledgment of the client write does not need to wait until the user data is written to the flash memory 206.


As further examples of differences between present embodiments and previous solid-state drives, the metadata 230 in the NVRAM 204 is not written into the flash memory 206, except in cases of power loss. Here, a portion of the NVRAM 204 acts as a workspace for the CPU 156 of the storage node 150 to apply the metadata 230. The CPU 156 of the storage node 150 can write to the NVRAM 204 and read the NVRAM 204, in order to access the metadata 230. The CPU 156 is responsible for migrating data from the NVRAM 204 down to the flash memory 206 in one embodiment. Transfer from the NVRAM 204 to the flash memory 206 is not automatic and predetermined, in such embodiments. Transfer waits until there is sufficient user data in the NVRAM 204 for a page write to the flash memory 206, as determined by the CPU 156 and directed to the DMA unit 214. The DMA unit 214 can be further involved in the path of the user data. In some embodiments, the DMA unit 214 (also known as a DMA engine) is designed to detect and understand various data formats. The DMA unit 214 can perform a cyclic redundancy check (CRC) calculation to check the integrity of the user data. In some embodiments, the DMA unit 214 inserts the CRC calculation into the data and verifies that the data is consistent with a previously inserted CRC calculation.


Work may be offloaded to the controller 212 of the non-volatile solid-state storage 152. Processing that is offloaded to flash controller 212 can be co-designed with processing performed by the CPU 156 of the storage node 150. Various mapping tables that translate from one address space to another, e.g., index trees or address translation tables, can be managed within the non-volatile solid-state storage 152, in some embodiments. The controller 212 of the non-volatile solid-state storage 152 can perform various tasks such as looking through these mapping tables, finding metadata associated with the mapping tables, and determining physical addresses, e.g., for user data sought by the CPU 156 of the storage node 150. In order to find an authority associated with a segment number, a standard solid-state drive might bring back an entire 16 kB flash page, and the CPU 156 would search in this page. In some embodiments, the controller 212 of the non-volatile solid-state storage 152 can perform this search much more efficiently, and pass the results to the CPU 156 of the storage node 150, without sending back the entire flash page to the CPU 156.



FIG. 5 is an address and data diagram showing address translation as applied to user data being stored in an embodiment of a non-volatile solid-state storage 152. In some embodiments, one or more of the address translations applies an address space having nonrepeating addresses. User data, arriving for storage in a storage cluster, is associated with a file path according to a file system. The user data is separated into data segments, each of which is assigned a segment address. Each data segment is separated into data shards, each of which is stored in flash memory 206 (See FIG. 3). Various address translation tables 502 (e.g., mapping tables) are applied by either the CPU of the storage node or the controller of the non-volatile solid-state storage to translate, track and assign addresses to the user data and portions thereof.


These address translation tables 502 reside as metadata in the memory 154 (See FIG. 1) of the storage node, the NVRAM 204 (See FIG. 3) of the non-volatile solid-state storage, and/or the flash memory of the non-volatile solid-state storage, in various embodiments. Generally, address translation tables 502 that occur later in the chain of translations have a greater number of entries (e.g., address translation tables 502D and 502E) and should be located in the flash memory 206, as there may not be sufficient memory space for these in the NVRAM or the memory 154. Further, messages regarding updates to the tables 502, or derivations of these messages, could be stored as metadata in the above-described memories. Metadata in one or more of these locations can be subjected to replication (i.e., redundancy) and decisions for various degrees of fault tolerance and system recovery, as described above.


For a particular portion of user data, the file path is translated or mapped to an inode ID with use of an address translation table 502A. This may be in accordance with a filesystem, and could be performed by the CPU of the storage node in some embodiments. The inode ID is translated or mapped to a medium address with use of an address translation table 502B, which could be performed by CPU. In some embodiments, the medium address, which is in a medium address space, is included as one of the sequential nonrepeating addresses. The medium address is translated or mapped to the segment address, with use of an address translation table 502C through the CPU in some embodiments. The segment address, which is in a segment address space, may be included as one of the sequential nonrepeating addresses. The segment address, as assigned to the data segment, is translated to a virtual allocation unit, as assigned to the data shard, with use of an address translation table 502D. Controller 212 of the non-volatile solid-state storage may perform this translation by accessing address translation table 502D in the flash memory 206. The virtual allocation unit is translated to a physical flash memory location with the use of an address translation table 502E. The physical flash memory location may be assigned to the data shard.


The address space with the sequential nonrepeating addresses may be applied to the medium address space, the segment address space and/or the virtual allocation unit address space in various embodiments. In each case, a range of addresses from the address space is assigned to each of the non-volatile solid-state storages in a storage cluster, or to each of the storage nodes in a storage cluster. The ranges may be non-overlapping, such that each non-volatile solid-state storage unit is assigned a range that differs from the ranges of the other non-volatile solid-state storage units. In this mechanism, no address from this address space repeats anywhere in the storage cluster. That is, each address from this address space is unique, and no two portions of user data are assigned the same address from this address space, during the expected lifespan of the system. Each time one of the addresses from this address space is assigned to a portion of user data in a non-volatile solid-state storage unit, whether the address is a medium address, a segment address, or a virtual allocation unit, the address (upon assignment) should be logically greater than all such addresses previously assigned in that non-volatile solid-state storage unit. Thus, the addresses may be referred to as sequential nonrepeating in this address space. The address space with these properties could include the medium address space, the segment address space and/or the virtual allocation unit address space. A non-volatile solid-state storage unit can allocate the assigned range of addresses in the non-volatile solid-state storage without synchronization with other non-volatile solid-state storage units in a storage cluster.


Each range of the address space has upper and lower bounds in some embodiments. Overall, the address space has an upper bound that exceeds the likely maximum address that would be assigned during the expected lifespan of a system. In one embodiment, the sequential nonrepeating addresses in the address space are binary numbers with at least 128 bits. The amount of bits may vary in embodiments, however with 128 bits, two raised to the 128th power is greater than the expected maximum address occurring for the lifetime of the system. The upper bound of the address space is greater than or equal to this number, or could include or be this number, in some embodiments. Larger numbers could be applied as technology further advances to higher operating speeds and lower time delays for reading and/or writing. The lower bound of the address space could be zero or one, or some other suitable low number.


Applying the nonrepeating addresses to one or more of the medium addresses, the segment addresses, or the virtual allocation units, enhance data recovery and flash writes. In some embodiments, the storage cluster, the storage node or the non-volatile, solid-state storage unit performs a snapshot of the present contents of the cluster, the storage node, or the non-volatile solid-state storage unit. At a later time, a particular version of user data can be recovered by referring to the snapshot. Since the relevant addresses do not have duplicates, there is an unambiguous record of the version of the user data at the time of the snapshot, and data is readily recovered if still existing in the relevant memory. Formats for snapshots are readily devised, and may include a file with a record of the contents of the cluster, the storage node, or the non-volatile solid-state storage unit, applying one or more address schemes. Depending on which address scheme or schemes is present in the snapshot, the address translation tables 502A, 502B, 502C, 502D, 502E can be applied to determine physical flash memory locations and presence or absence in the flash memory 206 of the desired data for recovery.


For flash writes, in some embodiments blocks of flash pages 224 are erased, and then individual flash pages 224 (see FIG. 3) are written in sequential order within a single erased block. This operation is supported by the above-described addressing mechanism, which assigns sequentially increasing or decreasing addresses to data segments and/or data shards as they arrive for storage in some embodiments. In some embodiments, information relating to the medium address, the segment address, and/or the virtual allocation unit is written to a header of the flash page 224, thus identifying data stored in the flash page 224 (e.g., as data shards). The flash page 224, in such embodiments, becomes self-describing and self-checking, via the information in the header.



FIG. 6 is a block diagram showing a DMA unit 214 transferring data that has a self-describing data format, in an embodiment of the non-volatile solid-state storage unit of FIGS. 1-5. The DMA unit 214 communicates with the NVRAM 204 and the flash memory 206, as described above with reference to FIG. 3. User data is broken up, e.g. into segments and shards, and mapped to physical locations in flash memory 206, as described above with reference to FIGS. 4 and 5. In the embodiment shown in FIG. 6, a self-describing data portion 602 is written into NVRAM 204, e.g. by the CPU of the storage node or the controller of the non-volatile solid-state storage. The NVRAM 204 in each non-volatile solid-state storage unit can have many self-describing data portions 602. In various scenarios, the DMA unit 214 is instructed to transfer portions or all of the contents of the NVRAM 204 to the flash memory 206, which could happen during data storage, or during loss of power as described above.


Still referring to FIG. 6, the self-describing data portion 602, in the NVRAM 204, has a destination section 604, a status section 606, and data 608. The data 608 could be in the form of a data shard as described above. The destination section 604 includes destination information, from which a destination can be extracted by the DMA unit 214. This destination information could be an address, a destination pointer, or an offset in flash memory 206, e.g., an offset relative to a flash page 224. With the destination section 604, the data 608 becomes self-describing as to where the data is destined to be stored. The destination pointer or some offset is encoded into the data itself, i.e., into the self-describing data portion 602. DMA unit 214 determines from the encoded pointer or offset where to place the data when writing. The status section 606 includes status information about the data 608, such as whether or not the data 608 has been written to the flash memory 206, or whether or not the data 608 will be used. In a situation where the data 608 will not be used, the data 608 does not need to be transferred to the flash memory 206. This may occur when the data 608 is obsolete, for example by a user action or system action of deleting a file. The data also may not be used when a file is revised, and the revised portions of the file are stored elsewhere, superseding this particular data 608. The data 608, the status section 606, the destination section 604, and/or further information can be in various orders and sequences in embodiments of the self-describing data portion 602.


The DMA unit 214 extracts a destination from the destination section 604 of the self-describing data portion 602. The DMA unit 214 also extracts status information from the status section 606 of the self-describing data portion 602, by reading specified portions or fields of the self-describing data portion 602 in some embodiments. For example, the DMA unit 214 could read the entire self-describing data portion 602 from the NVRAM 204, and mask various sections, or transfer various sections to local memory or registers, etc. As a further example, the DMA unit 214 could read only the destination section 604, the status section 606, or the data 608 from the NVRAM 204 in some embodiments. The DMA unit 214 acts according to information that is read. If the DMA unit 214 determines that the data 608 is valid and has not yet been transferred to the flash memory 206, the DMA unit 214 performs the transfer. The DMA unit 214 reads the data 608 from the self-describing data portion 602 in the NVRAM 204, and writes the data 608 to the destination in a flash page 224 in the flash memory 206. If the DMA unit 214 determines that the data 608 does not need to be transferred to the flash memory 206, according to the status information extracted from the status section 606, the DMA unit 214 may transfer other data, but not that particular data 608. In other words, the DMA unit 214 does not need to rewrite the data 608 into the flash memory 206 if the data 608 has already been transferred to the flash memory 206. In addition, the DMA unit 214 does not need to write the data 608 into the flash memory 206 if the status section 606 indicates the data 608 will not be used.


In some embodiments of FIG. 6, the DMA unit 214 writes an update to the status section 606 of the self-describing data portion 602 in the NVRAM 204, after writing the data 608 into the flash memory 206. This update confirms and indicates the data 608 has been written into the flash memory 206. Such an indication serves to notify the DMA unit 214 that, in case of power loss, the DMA unit 214 does not need to write the data 608 into the flash memory 206, as this has already been done. This indication also serves to notify the CPU of the storage node and the controller of the non-volatile solid-state storage unit that the location in NVRAM 204 of the self-describing data portion 602 is now available for a new self-describing data portion 602. Garbage collection or other system processes can make use of the status section 606, in order to recover or reuse memory space in the NVRAM 204. In some embodiments, the DMA unit writes an identifier to the header 610 of the flash page 224. The identifier identifies the data 608 written to the flash page 224. The identifier may include an inode ID, a medium address, a segment ID and/or an offset into the flash page 224, any or all of which point to the data 608 and support access to the data 608. Various embodiments of the nonvolatile solid-state storage 152 and other storages use various combinations of the above-described features.



FIG. 7 is a flow diagram of a method for applying a self-describing data format to a direct memory access transfer, which can be applied to or by embodiments of storage clusters, storage nodes and/or non-volatile solid-state storage units as described herein. The method initiates with one or more self-describing data portions written to NVRAM in action 702. This can be performed by a processor, such as a CPU of the data node or a controller of the non-volatile solid-state storage. For example, these data portions could be large amounts of data, small amount of data, data segments, or data shards. The remaining actions 704-718 of the method can be performed by a DMA unit of the non-volatile solid-state storage. In further embodiments, these actions can be performed by other processors and/or other DMA units acting on other types of memory as the embodiments provide examples not meant to be limiting. In an action 704, a destination is obtained from a self-describing data portion. For example, the DMA unit could extract the destination from a destination section of a self-describing data portion in NVRAM. In an action 706, status information is obtained from the self-describing data portion. The status information may be extracted from the status section of the self-describing data portion in NVRAM, before, after, or in parallel with the extraction of the destination.


The method of FIG. 7 advances to decision action 708, where it is determined if data is to be transferred to flash. The DMA unit may determine from the status information whether or not the data is valid and/or whether or not the data has already been transferred to flash. The determination could be indicated by one or more status bits in various formats as readily devised in accordance with the teachings herein. If the answer is no, the data should not be transferred to flash, flow branches to the decision action 716. This could be the case if the data is obsolete, or if the data has already been transferred to flash. If the answer is yes, the data should be transferred to flash, flow continues to the action 710. Data is written to the destination in flash, in the action 710. This can be accomplished by the DMA unit reading the data from the self-describing data portion in NVRAM, determining the destination in the action 704, and writing the data to that destination in some embodiments. An identifier is written to the header of the flash page, in an action 712. The status is updated in the self-describing data portion in NVRAM, in an action 714. For example, the DMA unit could write to the self-describing data portion in NVRAM, to indicate in the status section that the data has been written successfully to the flash.


In a decision action 716, it is determined if there a power loss. If the answer is no, flow branches back to the action 704, to obtain a destination for another self-describing data portion. Alternatively, flow could branch back to the action 702, in order for a new self-describing data portion to be written to the NVRAM. If the answer is yes, there is a power loss, flow continues to the action 718. In the action 718, portions of the NVRAM are transferred to flash, unless already transferred. This action can be accomplished with a process similar to the actions 704-714, or variations thereof. The process goes to an endpoint after the transfer, at which time the energy reserve apparatus applied during power loss may be exhausted. In further embodiments, with a longer power reserve, further processes may be initiated and completed.


It should be appreciated that the methods described herein may be performed with a digital processing system, such as a conventional, general-purpose computer system. Special purpose computers, which are designed or programmed to perform only one function may be used in the alternative. FIG. 8 is an illustration showing an exemplary computing device which may implement the embodiments described herein. The computing device of FIG. 8 may be used to perform embodiments of the functionality for a storage node or a non-volatile solid-state storage in accordance with some embodiments. The computing device includes a central processing unit (CPU) 801, which is coupled through a bus 805 to a memory 803, and mass storage device 807. Mass storage device 807 represents a persistent data storage device such as a disc drive, which may be local or remote in some embodiments. The mass storage device 807 could implement a backup storage, in some embodiments. Memory 803 may include read only memory, random access memory, etc. Applications resident on the computing device may be stored on or accessed via a computer readable medium such as memory 803 or mass storage device 807 in some embodiments. Applications may also be in the form of modulated electronic signals modulated accessed via a network modem or other network interface of the computing device. It should be appreciated that CPU 801 may be embodied in a general-purpose processor, a special purpose processor, or a specially programmed logic device in some embodiments.


Display 811 is in communication with CPU 801, memory 803, and mass storage device 807, through bus 805. Display 811 is configured to display any visualization tools or reports associated with the system described herein. Input/output device 809 is coupled to bus 805 in order to communicate information in command selections to CPU 801. It should be appreciated that data to and from external devices may be communicated through the input/output device 809. CPU 801 can be defined to execute the functionality described herein to enable the functionality described with reference to FIGS. 1-7. The code embodying this functionality may be stored within memory 803 or mass storage device 807 for execution by a processor such as CPU 801 in some embodiments. The operating system on the computing device may be MS-WINDOWS™, UNIX™, LINUX™, iOS™, CentOS™, Android™, Redhat Linux™, z/OS™, or other known operating systems. It should be appreciated that the embodiments described herein may be integrated with virtualized computing system also.


Detailed illustrative embodiments are disclosed herein. However, specific functional details disclosed herein are merely representative for purposes of describing embodiments. Embodiments may, however, be embodied in many alternate forms and should not be construed as limited to only the embodiments set forth herein.


It should be understood that although the terms first, second, etc. may be used herein to describe various steps or calculations, these steps or calculations should not be limited by these terms. These terms are only used to distinguish one step or calculation from another. For example, a first calculation could be termed a second calculation, and, similarly, a second step could be termed a first step, without departing from the scope of this disclosure. As used herein, the term “and/or” and the “/” symbol includes any and all combinations of one or more of the associated listed items.


As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises”, “comprising”, “includes”, and/or “including”, when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Therefore, the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting.


It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may in fact be executed substantially concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.


With the above embodiments in mind, it should be understood that the embodiments might employ various computer-implemented operations involving data stored in computer systems. These operations are those requiring physical manipulation of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. Further, the manipulations performed are often referred to in terms, such as producing, identifying, determining, or comparing. Any of the operations described herein that form part of the embodiments are useful machine operations. The embodiments also relate to a device or an apparatus for performing these operations. The apparatus can be specially constructed for the required purpose, or the apparatus can be a general-purpose computer selectively activated or configured by a computer program stored in the computer. In particular, various general-purpose machines can be used with computer programs written in accordance with the teachings herein, or it may be more convenient to construct a more specialized apparatus to perform the required operations.


A module, an application, a layer, an agent or other method-operable entity could be implemented as hardware, firmware, or a processor executing software, or combinations thereof. It should be appreciated that, where a software-based embodiment is disclosed herein, the software can be embodied in a physical machine such as a controller. For example, a controller could include a first module and a second module. A controller could be configured to perform various actions, e.g., of a method, an application, a layer or an agent.


The embodiments can also be embodied as computer readable code on a non-transitory computer readable medium. The computer readable medium is any data storage device that can store data, which can be thereafter read by a computer system. Examples of the computer readable medium include hard drives, network attached storage (NAS), read-only memory, random-access memory, CD-ROMs, CD-Rs, CD-RWs, magnetic tapes, and other optical and non-optical data storage devices. The computer readable medium can also be distributed over a network coupled computer system so that the computer readable code is stored and executed in a distributed fashion. Embodiments described herein may be practiced with various computer system configurations including hand-held devices, tablets, microprocessor systems, microprocessor-based or programmable consumer electronics, minicomputers, mainframe computers and the like. The embodiments can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a wire-based or wireless network.


Although the method operations were described in a specific order, it should be understood that other operations may be performed in between described operations, described operations may be adjusted so that they occur at slightly different times or the described operations may be distributed in a system which allows the occurrence of the processing operations at various intervals associated with the processing.


In various embodiments, one or more portions of the methods and mechanisms described herein may form part of a cloud-computing environment. In such embodiments, resources may be provided over the Internet as services according to one or more various models. Such models may include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). In IaaS, computer infrastructure is delivered as a service. In such a case, the computing equipment is generally owned and operated by the service provider. In the PaaS model, software tools and underlying equipment used by developers to develop software solutions may be provided as a service and hosted by the service provider. SaaS typically includes a service provider licensing software as a service on demand. The service provider may host the software, or may deploy the software to a customer for a given period of time. Numerous combinations of the above models are possible and are contemplated.


Various units, circuits, or other components may be described or claimed as “configured to” perform a task or tasks. In such contexts, the phrase “configured to” is used to connote structure by indicating that the units/circuits/components include structure (e.g., circuitry) that performs the task or tasks during operation. As such, the unit/circuit/component can be said to be configured to perform the task even when the specified unit/circuit/component is not currently operational (e.g., is not on). The units/circuits/components used with the “configured to” language include hardware—for example, circuits, memory storing program instructions executable to implement the operation, etc. Reciting that a unit/circuit/component is “configured to” perform one or more tasks is expressly intended not to invoke 35 U.S.C. 112, sixth paragraph, for that unit/circuit/component. Additionally, “configured to” can include generic structure (e.g., generic circuitry) that is manipulated by software and/or firmware (e.g., an FPGA or a general-purpose processor executing software) to operate in manner that is capable of performing the task(s) at issue. “Configured to” may also include adapting a manufacturing process (e.g., a semiconductor fabrication facility) to fabricate devices (e.g., integrated circuits) that are adapted to implement or perform one or more tasks.


The foregoing description, for the purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Many modifications and variations are possible in view of the above teachings. The embodiments were chosen and described in order to best explain the principles of the embodiments and its practical applications, to thereby enable others skilled in the art to best utilize the embodiments and various modifications as may be suited to the particular use contemplated. Accordingly, the present embodiments are to be considered as illustrative and not restrictive, and the invention is not to be limited to the details given herein, but may be modified within the scope and equivalents of the appended claims.

Claims
  • 1. A method of applying a data format in a direct memory access transfer, comprising: distributing user data throughout a plurality of storage nodes through erasure coding, each of the plurality of storage nodes having nonvolatile solid-state memory for user data storage;reading a self-describing data portion that is one of a plurality of self-describing data portions from a first memory of the nonvolatile solid-state memory, each of the plurality of self-describing data portions comprising a self-contained combination of data, a destination section having information regarding a destination of the data, and a status section having information about transfer of the data from the first memory to a second memory of the nonvolatile solid-state memory;extracting the destination from the self-describing data portion; andwriting the data, from the self-describing data portion, to the second memory of the nonvolatile solid-state memory according to the destination and the information in the status section of the self-describing data portion.
  • 2. The method of claim 1, further comprising: writing to the status section of the self-describing data portion in the first memory to confirm the writing data to the second memory.
  • 3. The method of claim 1, further comprising: writing an identifier of the data to a header of a non-volatile memory page, wherein the second memory includes non-volatile memory having the non-volatile memory page containing the destination.
  • 4. The method of claim 1, further comprising: extracting status information from a status section of the self-describing data portion, the extracting responsive to a loss of power, and wherein the writing data to the second memory is responsive to the loss of power and responsive to the status information indicating the data has not yet been written to the second memory.
  • 5. The method of claim 1, further comprising: extracting status information from the status section of the self-describing data portion; anddetermining whether the data has been written to the second memory.
  • 6. The method of claim 1, further comprising: writing the self-describing data portion to the first memory, wherein the destination section specifies the destination.
  • 7. The method of claim 1, further comprising: writing an indication that the data in the self-describing data portion will not be used and need not be transferred to the second memory to the status section of the self-describing data portion in the first memory.
  • 8. A method of moving data by direct memory access (DMA), comprising: directing a DMA unit to move data from a first memory to a second memory;extracting, using the DMA unit, destination information from a self-describing data portion in the first memory, wherein a plurality of self-describing data portions are within the first memory, each of the self-describing data portions comprising a self-contained combination of data, a destination section having information regarding a destination of the data, and a status section having information about transfer of the data from the first memory to a second memory of the nonvolatile solid-state memory;extracting, using the DMA unit, the data from the self-describing data portion; andwriting, using the DMA unit, the data to a destination in the second memory according to the destination information and the information in the status section of the self-describing data portion.
  • 9. The method of claim 8, further comprising: writing, using the DMA unit, to the status section an indication of successful data transfer, responsive to writing the data to the destination in the second memory.
  • 10. The method of claim 8, wherein the destination information includes one of an address, a destination pointer, or an offset.
  • 11. The method of claim 8, further comprising: writing an identifier to a header of a non-volatile memory page, wherein the identifier identifies the data as to an inode identifier (ID), a medium address, or a segment ID, and wherein the non-volatile memory page is in the second memory.
  • 12. The method of claim 8, further comprising: reading status information from the self-describing data portion in the first memory; anddetermining from the status information that the data has not been written to the second memory, wherein the writing the data to the destination in the second memory is responsive to the determining.
  • 13. The method of claim 8, further comprising: reading status information from the self-describing data portion in the first memory, responsive to a power loss; anddetermining from the status information that the data has been written to the second memory;writing, using the DMA unit, further data from the first memory to the second memory, responsive to the power loss, without rewriting the data that has been written to the second memory according to the status information.
  • 14. The method of claim 8, wherein the first memory includes non-volatile random-access memory (NVRAM) and the second memory includes non-volatile memory.
  • 15. A storage cluster, comprising: a plurality of storage nodes within a single chassis, each of the plurality of storage nodes having nonvolatile solid-state memory for storage of user data, the nonvolatile solid-state memory comprising:a first memory, configured to hold a plurality of self-describing data portions, each comprising a self-contained combination of data, a destination section having information regarding a destination of the data, and a status section having information about transfer of the data from the first memory to a second memory of the nonvolatile solid-state memory;a second memory; anda direct memory access (DMA) unit, configured to perform actions including: extracting a destination from one of the plurality of self-describing data portions in the first memory; andwriting data, from the one of the plurality of self-describing data portions, to the destination in the second memory.
  • 16. The storage cluster of claim 15, further comprising: the first memory includes non-volatile random access memory (NVRAM).
  • 17. The storage cluster of claim 15, further comprising: the second memory includes non-volatile memory; andan energy reserve coupled to the first memory, the second memory and the DMA unit, the energy reserve configured to provide sufficient power for the DMA unit to transfer contents of the first memory to the second memory responsive to a power loss.
  • 18. The storage cluster of claim 15, further comprising: each of the plurality of data portions includes data, a destination for the data, and a status of the data.
  • 19. The storage cluster of claim 15, wherein: the actions further include writing to the status section of the one of the plurality of self-describing data portions to confirm transfer of the data from the first memory to the second memory, responsive to writing the data to the destination in the second memory.
  • 20. The storage cluster of claim 15, further comprising: the one of the plurality of self-describing data portions in the first memory includes a status of the data indicating one of whether the data of the one of the plurality of self-describing data portions has been written to the second memory or whether the data of the one of the plurality of self-describing data portions will be used.
US Referenced Citations (258)
Number Name Date Kind
5390327 Lubbers et al. Feb 1995 A
5479653 Jones Dec 1995 A
5649093 Hanko et al. Jul 1997 A
5764767 Beimel et al. Jun 1998 A
6182214 Hardjono Jan 2001 B1
6275898 DeKoning Aug 2001 B1
6535417 Tsuda Mar 2003 B2
6643748 Wieland Nov 2003 B1
6725392 Frey et al. Apr 2004 B1
6836816 Kendall Dec 2004 B2
6985995 Holland et al. Jan 2006 B2
7032125 Holt et al. Apr 2006 B2
7051155 Talagala et al. May 2006 B2
7065617 Wang Jun 2006 B2
7069383 Yamamoto et al. Jun 2006 B2
7076606 Orsley Jul 2006 B2
7107480 Moshayedi et al. Sep 2006 B1
7159150 Kenchammana-Hosekote et al. Jan 2007 B2
7162575 Dalal et al. Jan 2007 B2
7164608 Lee Jan 2007 B2
7334156 Land et al. Feb 2008 B2
7370220 Nguyen et al. May 2008 B1
7424498 Patterson Sep 2008 B1
7424592 Karr Sep 2008 B1
7444532 Masuyama et al. Oct 2008 B2
7480658 Heinla et al. Jan 2009 B2
7536506 Ashmore et al. May 2009 B2
7558859 Kasiolas Jul 2009 B2
7565446 Talagala et al. Jul 2009 B2
7613947 Coatney Nov 2009 B1
7681104 Sim-Tang et al. Mar 2010 B1
7681105 Sim-Tang et al. Mar 2010 B1
7730258 Smith Jun 2010 B1
7743276 Jacobson et al. Jun 2010 B2
7757038 Kitahara Jul 2010 B2
7778960 Chatterjee et al. Aug 2010 B1
7814272 Barrall et al. Oct 2010 B2
7814273 Barrall et al. Oct 2010 B2
7818531 Barrall et al. Oct 2010 B2
7827351 Suetsugu et al. Nov 2010 B2
7827439 Mathew et al. Nov 2010 B2
7870105 Arakawa et al. Jan 2011 B2
7885938 Greene et al. Feb 2011 B1
7886111 Klemm et al. Feb 2011 B2
7908448 Chatterjee et al. Mar 2011 B1
7916538 Jeon et al. Mar 2011 B2
7941697 Mathew et al. May 2011 B2
7958303 Shuster Jun 2011 B2
7971129 Watson Jun 2011 B2
7991822 Bish et al. Aug 2011 B2
8010485 Chatterjee et al. Aug 2011 B1
8010829 Chatterjee et al. Aug 2011 B1
8020047 Courtney Sep 2011 B2
8046548 Chatterjee et al. Oct 2011 B1
8051361 Sim-Tang et al. Nov 2011 B2
8051362 Li et al. Nov 2011 B2
8082393 Galloway et al. Dec 2011 B2
8086634 Mimatsu Dec 2011 B2
8086911 Taylor Dec 2011 B1
8090837 Shin et al. Jan 2012 B2
8108502 Tabbara et al. Jan 2012 B2
8117388 Jernigan, IV Feb 2012 B2
8140821 Raizen et al. Mar 2012 B1
8145736 Tewari et al. Mar 2012 B1
8145838 Miller et al. Mar 2012 B1
8145840 Koul et al. Mar 2012 B2
8176360 Frost et al. May 2012 B2
8180855 Aiello et al. May 2012 B2
8200922 McKean et al. Jun 2012 B2
8225006 Karamcheti Jul 2012 B1
8239618 Kotzur et al. Aug 2012 B2
8244999 Chatterjee et al. Aug 2012 B1
8305811 Jeon Nov 2012 B2
8315999 Chatley et al. Nov 2012 B2
8327080 Der Dec 2012 B1
8351290 Huang et al. Jan 2013 B1
8375146 Sinclair Feb 2013 B2
8397016 Talagala et al. Mar 2013 B2
8402152 Duran Mar 2013 B2
8412880 Leibowitz et al. Apr 2013 B2
8423739 Ash et al. Apr 2013 B2
8429436 Fillingim et al. Apr 2013 B2
8473778 Simitci Jun 2013 B2
8479037 Chatterjee et al. Jul 2013 B1
8498967 Chatterjee et al. Jul 2013 B1
8522073 Cohen Aug 2013 B2
8533527 Daikokuya et al. Sep 2013 B2
8544029 Bakke et al. Sep 2013 B2
8589625 Colgrove et al. Nov 2013 B2
8595455 Chatterjee et al. Nov 2013 B2
8615599 Takefman et al. Dec 2013 B1
8627136 Shankar et al. Jan 2014 B2
8627138 Clark Jan 2014 B1
8660131 Vermunt et al. Feb 2014 B2
8661218 Piszczek et al. Feb 2014 B1
8700875 Barron et al. Apr 2014 B1
8706694 Chatterjee et al. Apr 2014 B2
8706914 Duchesneau Apr 2014 B2
8713405 Healey et al. Apr 2014 B2
8725730 Keeton et al. May 2014 B2
8756387 Frost et al. Jun 2014 B2
8762793 Grube et al. Jun 2014 B2
8775858 Gower et al. Jul 2014 B2
8775868 Colgrove et al. Jul 2014 B2
8788913 Xin et al. Jul 2014 B1
8799746 Baker et al. Aug 2014 B2
8819311 Liao Aug 2014 B2
8819383 Jobanputra et al. Aug 2014 B1
8824261 Miller et al. Sep 2014 B1
8843700 Salessi et al. Sep 2014 B1
8850108 Hayes et al. Sep 2014 B1
8850288 Lazier et al. Sep 2014 B1
8856593 Eckhardt et al. Oct 2014 B2
8856619 Cypher Oct 2014 B1
8862847 Feng et al. Oct 2014 B2
8862928 Xavier et al. Oct 2014 B2
8868825 Hayes Oct 2014 B1
8874836 Hayes Oct 2014 B1
8886778 Nedved et al. Nov 2014 B2
8898383 Yamamoto et al. Nov 2014 B2
8898388 Kimmel Nov 2014 B1
8904231 Coatney et al. Dec 2014 B2
8918478 Ozzie et al. Dec 2014 B2
8929066 Herman et al. Jan 2015 B2
8930307 Colgrove et al. Jan 2015 B2
8930633 Amit et al. Jan 2015 B2
8949502 McKnight et al. Feb 2015 B2
8959110 Smith et al. Feb 2015 B2
8977597 Ganesh et al. Mar 2015 B2
9003144 Hayes et al. Apr 2015 B1
9009724 Gold et al. Apr 2015 B2
9021053 Bernbo et al. Apr 2015 B2
9021215 Meir et al. Apr 2015 B2
9025393 Wu May 2015 B2
9043372 Makkar et al. May 2015 B2
9053808 Sprouse Jun 2015 B2
9058155 Cepulis et al. Jun 2015 B2
9116819 Cope et al. Aug 2015 B2
9117536 Yoon Aug 2015 B2
9122401 Zaltsman et al. Sep 2015 B2
9134908 Horn et al. Sep 2015 B2
9153337 Sutardja Oct 2015 B2
9189650 Jaye et al. Nov 2015 B2
9201733 Verma Dec 2015 B2
9207876 Shu Dec 2015 B2
9251066 Colgrove et al. Feb 2016 B2
9323667 Bennett Apr 2016 B2
9323681 Apostolides et al. Apr 2016 B2
9348538 Mallaiah et al. May 2016 B2
9384082 Lee et al. Jul 2016 B1
9390019 Patterson Jul 2016 B2
9405478 Koseki Aug 2016 B2
9432541 Ishida Aug 2016 B2
9477632 Du Oct 2016 B2
9552299 Stalzer Jan 2017 B2
20020144059 Kendall Oct 2002 A1
20030105984 Masuyama et al. Jun 2003 A1
20030110205 Johnson Jun 2003 A1
20040161086 Buntin et al. Aug 2004 A1
20050001652 Malik et al. Jan 2005 A1
20050076228 Davis et al. Apr 2005 A1
20050235132 Karr et al. Oct 2005 A1
20050278460 Shin et al. Dec 2005 A1
20050283649 Turner et al. Dec 2005 A1
20060015683 Ashmore et al. Jan 2006 A1
20060114930 Lucas et al. Jun 2006 A1
20060174157 Barrall et al. Aug 2006 A1
20060248294 Nedved et al. Nov 2006 A1
20070033205 Pradhan Feb 2007 A1
20070079068 Draggon Apr 2007 A1
20070214194 Reuter Sep 2007 A1
20070214314 Reuter Sep 2007 A1
20070234016 Davis et al. Oct 2007 A1
20070268905 Baker et al. Nov 2007 A1
20080080709 Michtchenko et al. Apr 2008 A1
20080095375 Tateoka et al. Apr 2008 A1
20080107274 Worthy May 2008 A1
20080155191 Anderson et al. Jun 2008 A1
20080295118 Liao Nov 2008 A1
20090077208 Nguyen et al. Mar 2009 A1
20090138654 Sutardja May 2009 A1
20090216910 Duchesneau Aug 2009 A1
20090216920 Lauterbach et al. Aug 2009 A1
20100017444 Chatterjee et al. Jan 2010 A1
20100042636 Lu Feb 2010 A1
20100094806 Apostolides et al. Apr 2010 A1
20100115070 Missimilly May 2010 A1
20100125695 Wu et al. May 2010 A1
20100162076 Sim-Tang et al. Jun 2010 A1
20100169707 Mathew et al. Jul 2010 A1
20100174576 Naylor Jul 2010 A1
20100268908 Ouyang et al. Oct 2010 A1
20100312915 Marowsky-Bree et al. Dec 2010 A1
20110035540 Fitzgerald et al. Feb 2011 A1
20110040925 Frost et al. Feb 2011 A1
20110060927 Fillingim et al. Mar 2011 A1
20110119462 Leach et al. May 2011 A1
20110219170 Frost et al. Sep 2011 A1
20110238625 Hamaguchi et al. Sep 2011 A1
20110264843 Haines et al. Oct 2011 A1
20110302369 Goto et al. Dec 2011 A1
20120011398 Eckhardt Jan 2012 A1
20120079318 Colgrove et al. Mar 2012 A1
20120110249 Jeong et al. May 2012 A1
20120131253 McKnight May 2012 A1
20120150826 Retnamma et al. Jun 2012 A1
20120158923 Mohamed et al. Jun 2012 A1
20120191900 Kunimatsu et al. Jul 2012 A1
20120198152 Terry et al. Aug 2012 A1
20120198261 Brown et al. Aug 2012 A1
20120209943 Jung Aug 2012 A1
20120226934 Rao Sep 2012 A1
20120246435 Meir et al. Sep 2012 A1
20120260055 Murase Oct 2012 A1
20120311557 Resch Dec 2012 A1
20130022201 Glew et al. Jan 2013 A1
20130036314 Glew et al. Feb 2013 A1
20130042056 Shats Feb 2013 A1
20130060884 Bernbo et al. Mar 2013 A1
20130067188 Mehra et al. Mar 2013 A1
20130073894 Xavier et al. Mar 2013 A1
20130124776 Hallak et al. May 2013 A1
20130132800 Healey et al. May 2013 A1
20130151653 Sawicki et al. Jun 2013 A1
20130151771 Tsukahara et al. Jun 2013 A1
20130173853 Ungureanu et al. Jul 2013 A1
20130238554 Yucel et al. Sep 2013 A1
20130259234 Acar et al. Oct 2013 A1
20130262758 Smith et al. Oct 2013 A1
20130339314 Carpentier et al. Dec 2013 A1
20130339635 Amit et al. Dec 2013 A1
20130339818 Baker et al. Dec 2013 A1
20140040535 Lee Feb 2014 A1
20140040702 He et al. Feb 2014 A1
20140047263 Coatney et al. Feb 2014 A1
20140047269 Kim Feb 2014 A1
20140063721 Herman et al. Mar 2014 A1
20140064048 Cohen et al. Mar 2014 A1
20140068224 Fan et al. Mar 2014 A1
20140075252 Luo et al. Mar 2014 A1
20140136880 Shankar et al. May 2014 A1
20140181402 White Jun 2014 A1
20140237164 Le et al. Aug 2014 A1
20140279936 Bernbo et al. Sep 2014 A1
20140280025 Eidson et al. Sep 2014 A1
20140289588 Nagadomi et al. Sep 2014 A1
20140380125 Calder et al. Dec 2014 A1
20140380126 Yekhanin et al. Dec 2014 A1
20150032720 James Jan 2015 A1
20150039645 Lewis Feb 2015 A1
20150039849 Lewis Feb 2015 A1
20150089283 Kermarrec et al. Mar 2015 A1
20150089623 Sondhi et al. Mar 2015 A1
20150100746 Rychlik Apr 2015 A1
20150134824 Mickens et al. May 2015 A1
20150153800 Lucas et al. Jun 2015 A1
20150180714 Chunn Jun 2015 A1
20150280959 Vincent Oct 2015 A1
Foreign Referenced Citations (10)
Number Date Country
2164006 Mar 2010 EP
2256621 Dec 2010 EP
2639997 Sep 2013 EP
02-130033 Feb 2002 WO
2006069235 Jun 2006 WO
2008103569 Aug 2008 WO
2008157081 Dec 2008 WO
2012174427 Dec 2012 WO
2013032544 Mar 2013 WO
2013032825 Jul 2013 WO
Non-Patent Literature Citations (8)
Entry
Kim, Ju-Kyeong, et al.: Data Access Frequency based Data Replication Method using Erasure Codes in Cloud Storage System, Journal of the Institute of Electronics and Information Engineers, Feb. 2014, vol. 51, No. 2, pp. 85-91.
Ju-Kyeong Kim et al., “Data Access Frequency based Data Replication Method using Erasure Codes in Cloud Storage System”, Journal of the Institute of Electronics and Information Engineers, Feb. 2014, vol. 51, No. 2, pp. 85-91.
International Search Report and the Written Opinion of the International Searching Authority, PCT/US2015/039135, mailed Sep. 18, 2015.
Storer, Mark W., Greenan, Kevin M., Miller L. Ethan, Voruganti, Kaladhar; Pergamum: Replacing Tape with Energy Efficient, Reliable, Disk-Based Archival Storage.
Hwang, Kai, Jin, Hai, Ho, Roy; RAID-x: A New Distributed Disk Array for I/O-Centric Cluster Computing.
Wong, Theodore M., et al., “Verifiable secret redistribution for archive systems,” In: Proceedings on First International IEEE Security in Storage Workshop 2002, (SISW '02), pp. 1-12, Dec. 11, 2002.
Schmid, Patrick: “RAID Scaling Charts, Part 3:4-128 kB Stripes Compared”, Tom's Hardware, Nov. 27, 2007 (http://www.tomshardware.com/reviews/RAID-SCALING-CHARTS.1735-4.html), See pp. 1-2.
Stalzer, Mark A., “FlashBlades: System Architecture and Applications,” Proceedings of the 2nd Workshop on Architectures and Systems for Big Data, Association for Computing Machinery, New York, NY, 2012, pp. 10-14.