Data management for a storage device

Information

  • Patent Grant
  • 8959281
  • Patent Number
    8,959,281
  • Date Filed
    Friday, November 9, 2012
    11 years ago
  • Date Issued
    Tuesday, February 17, 2015
    9 years ago
Abstract
Data management for a storage device which includes a disk for storing data and a non-volatile memory (NVM) for storing a translation table. The data on the disk is associated with a plurality of logical block addresses (LBAs) and the translation table stored in the NVM maps each of the plurality of LBAs to a respective physical block address (PBA) identifying a physical location on the disk storing the data associated with the LBA. Data associated with at least one LBA is written on the disk and the at least one LBA is added to the translation table with a PBA identifying a physical location on the disk storing the written data.
Description
BACKGROUND

Storage devices are often used to record data on or to reproduce data from a recording media. A storage device can include a rotating magnetic disk as one type of recording media. In addition to a magnetic disk, a storage device can include a second type of recording media, such as a solid state, non-volatile memory. Storage devices including both a disk and a solid state non-volatile memory may be referred to as a hybrid drive.


The storage device industry is always trying to increase the recording density of the disk, or in other words, the amount of data that can be stored in a given area on the disk. Shingled magnetic recording (SMR) has recently been introduced as a way of increasing the number of tracks per inch (TPI) by making the tracks narrower. Since it is technologically easier to read narrow tracks than to write narrow tracks, SMR increases TPI by using a relatively wide write head with a stronger magnetic field to overlap tracks like roof shingles. The non-overlapping portion then serves as a narrow track that can be read by a narrower read head.


Although a higher number of TPI is ordinarily possible with SMR, the overlap in tracks can create a problem when writing data since new writes to a previously overlapped track affects data written in the overlapping track. For this reason, tracks are usually sequentially written to avoid affecting previously written data. Such sequential writing can create new data management issues not addressed in conventional storage devices.





BRIEF DESCRIPTION OF THE DRAWINGS

The features and advantages of the embodiments of the present disclosure will become more apparent from the detailed description set forth below when taken in conjunction with the drawings. The drawings and the associated descriptions are provided to illustrate embodiments of the disclosure and not to limit the scope of what is claimed. Reference numbers are reused throughout the drawings to indicate correspondence between referenced elements.



FIG. 1 is a block diagram depicting a computer system including a storage device according to an embodiment.



FIG. 2 is a block diagram depicting the storage device of FIG. 1.



FIG. 3 illustrates a portion of a disk written by a head according to an embodiment.



FIG. 4 depicts a translation table according to an embodiment.



FIG. 5 depicts a write log according to an embodiment.



FIG. 6 depicts footer metadata according to an embodiment.



FIG. 7A is a flowchart for a write process according to an embodiment.



FIG. 7B is a second portion of the flow chart of FIG. 7A.



FIG. 8 is a flowchart for a multi-zone write process according to an embodiment.



FIG. 9A illustrates an example of writing data to multiple zones.



FIG. 9B illustrates another example of writing data to multiple zones.



FIG. 10 is a flowchart for a power-up process according to an embodiment.



FIG. 11 is a flowchart for a power loss process according to an embodiment.





DETAILED DESCRIPTION

In the following detailed description, numerous specific details are set forth to provide a full understanding of the present disclosure. It will be apparent, however, to one of ordinary skill in the art that the various embodiments disclosed may be practiced without some of these specific details. In other instances, well-known structures and techniques have not been shown in detail to avoid unnecessarily obscuring the various embodiments.


System Environment



FIG. 1 shows computer system 100 which includes host 101, input device 102, display device 104 and storage device 106. Computer system 100 can be, for example, a cloud storage device, personal computer system, or other electronic device. In this regard, computer system 100 may be a stand-alone system or part of a network. Input device 102 can be a keyboard, scroll wheel, or pointing device allowing a user of computer system 100 to enter information and commands to computer system 100, or to allow a user to manipulate objects displayed on display device 104. In other embodiments, input device 102 and display device 104 can be combined into a single component, such as a touch-screen that displays objects and receives user input.


In the embodiment of FIG. 1, host 101 includes central processing unit (CPU) 108 which can be implemented using one or more processors for executing instructions including a microcontroller, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), hard-wired logic, analog circuitry and/or a combination thereof. CPU 108 interfaces with host bus 112. Also interfacing with host bus 112 are random access memory (RAM) 110, input interface 114 for input device 102, display interface 116 for display device 104, read only memory (ROM) 118, network interface 120 and storage device 106.


RAM 110 interfaces with host bus 112 so as to provide information stored in RAM 110 to CPU 108 during execution of instructions in software programs. More specifically, CPU 108 first loads computer-executable instructions from storage device 106 or another storage device into a region of RAM 110. CPU 108 can then execute the stored process instructions from RAM 110. Data such as data to be stored in storage device 106 or data retrieved from storage device 106 can be stored in RAM 110 so that the data can be accessed by CPU 108 during execution of software programs to the extent that such software programs have a need to access and/or modify the data.


As discussed with reference to FIG. 2 below, in one embodiment storage device 106 is a hybrid drive including both a magnetic disk (i.e., disk 200 in FIG. 2) and a solid state non-volatile memory (NVM) (i.e., NVM 128 in FIG. 2). In this regard, storage device 106 includes both user data 14 written on disk 200 and NVM user data 24 stored in NVM 128. User data 14 and NVM user data 24 can include data used by host 101, such as an operating system, device drivers, application programs, and data files such as video files or word processing files. In addition, NVM user data 24 can include a cached version of user data 14 or portions thereof.


Storage device 106 also includes NVM translation table 26 which can include a mapping between logical addresses and physical addresses for data stored in NVM 128. More specifically, NVM translation table 26 can map logical block addresses (LBAs) used by host 101 for addressing data to physical block addresses (PBAs) used by storage device 106 to address physical storage blocks (not shown) in NVM 128. As understood by those of ordinary skill in the art, NVM translation table 26 can be used to perform LBA indirection or other methods to promote an even wear-leveling of physical storage blocks in NVM 128. Such even wear-leveling ordinarily increases the usable life of NVM 128.


In addition, storage device 106 includes translation table 20, write logs 22, and footer metadata 28 for implementing various example processes disclosed herein. Translation table 20, write logs 22, and footer metadata 28 are described in more detail below with reference to FIGS. 4, 5, and 6, respectively.


Those of ordinary skill in the art will appreciate that the disclosed processes for managing data may be implemented in other environments. In some embodiments, storage device 106 can include more or less than those elements shown in FIG. 1. For example, some embodiments may not include NVM user data 24 since the example data management processes disclosed herein are not necessarily implemented with a hybrid drive having a large capacity NVM. Instead, the data management processes can be implemented in other embodiments with a storage device having a relatively small capacity NVM that does not store NVM user data 24.


Storage Device Overview



FIG. 2 illustrates a block diagram of storage device 106 according to one example embodiment. As shown in FIG. 2, storage device 106 includes controller 122 which can perform various operations of storage device 106 described herein. Controller 122 can be implemented using one or more processors for executing instructions and can include a microcontroller, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), hard-wired logic, analog circuitry and/or a combination thereof.


In the example of FIG. 2, storage device 106 includes rotating magnetic disk 200 and head 129 connected to the distal end of actuator arm 130 which is rotated about a pivot by voice coil motor (VCM) 132 to position head 129 over disk 200. Head 129 includes at least a read element (i.e., read element 140 in FIG. 3) for reading data from disk 200, and a write element (i.e., write element 142 in FIG. 3) for writing data on disk 200. Disk 200 comprises a number of radial spaced, concentric tracks 210 for storing data (e.g., user data 14). Tracks 210 can be grouped together into zones of tracks (e.g., zones 224, 226, and 228 in FIG. 3), with each track 210 divided into a number of sectors (i.e., sectors 222 in FIG. 3) that are spaced circumferentially along tracks 210.


Storage device 106 also includes spindle motor (SM) 138 for rotating disk 200 during read/write operations. As described in more detail with reference to FIG. 10 below, SM 138 is also configured to generate electric power from a continued rotation of disk 200 when there is an unexpected loss of power to storage device 106.


SM 138 and VCM 132 are connected to power controller 136 which includes circuitry for converting control signals received from controller 122 into VCM control signal 30 and SM control signal 34. These control signals can be, for example, control currents for controlling the rotation of VCM 132 and SM 138. Power controller 136 is also configured to receive generated power from SM 138 after an unexpected power loss and, in turn, supply power to controller 122.


Storage device 106 also includes host interface 126 and volatile memory 124, which can include, for example, a DRAM. Data stored in volatile memory 124 includes data read from disk 200, data to be written to disk 200, and/or instructions for controlling storage device 106. Host interface 126 is configured to interface storage device 106 with host 101 and may interface according to the serial advanced technology attachment (SATA) standard or other standards such as serial attached SCSI (SAS). As will be appreciated by those of ordinary skill in the art, host interface 126 can be included as part of controller 122.


In addition, storage device 106 includes solid state non-volatile memory (NVM) 128 for storing data such as translation table 20, footer metadata 28, NVM user data 24, and NVM translation table 26. In other embodiments, NVM 128 can include components not shown in the example of FIG. 2, such as firmware for controlling storage device 106.


While the description herein refers to NVM generally, it is understood that NVM may comprise one or more of various types of solid state non-volatile memory devices such as flash integrated circuits, Chalcogenide RAM (C-RAM), Phase Change Memory (PC-RAM or PRAM), Programmable Metallization Cell RAM (PMC-RAM or PMCm), Ovonic Unified Memory (OUM), Resistance RAM (RRAM), NAND memory (e.g., single-level cell (SLC) memory, multi-level cell (MLC) memory, or any combination thereof), NOR memory, EEPROM, Ferroelectric Memory (FeRAM), Magnetoresistive RAM (MRAM), other discrete NVM (non-volatile memory) chips, or any combination thereof.


In one embodiment, controller 122 is connected to sensor 134 which is configured to detect an environmental condition, such as a vibration condition. When sensor 134 detects the environmental condition, sensor 134 can transmit a signal to controller 122 indicating detection of the environmental condition.


In operation, controller 122 writes data to and reads data from disk 200 in response to commands from host 101 received via host interface 126. When controller 122 receives a write command from host 101 with data to be written to disk 200, controller 122 temporarily holds the received data in volatile memory 124. To write data to disk 200, controller 122 positions head 129 over disk 200 by controlling power controller 136 to send VCM control signal 30 to VCM 132. Controller 122 positions head 129 based on position information read from disk 200. At the same time, controller 122 causes SM 138 to rotate disk 200 by controlling power controller 136 to send SM control signal 34 to SM 138.


Controller 122 processes data to be written to disk 200 into write signal 32, which is output to head 129. For its part, a write element (i.e., write element 142 in FIG. 3) of head 129 converts write signal 32 into a magnetic field that magnetizes the surface of disk 200 based upon write signal 32, thereby magnetically writing data on disk 200. Controller 122 may notify host 101 via host interface 126 after data for the write command has been successfully written on disk 200.


When controller 122 receives a read command from host 101, requesting data written on disk 200, controller 122 positions head 129 on disk 200 by controlling power controller 136 to send VCM control signal 30 to VCM 132. At the same time, controller 122 causes SM 138 to rotate disk 200 by controlling power controller 136 to send SM control signal 34 to SM 138. A read element (i.e., read element 140 in FIG. 3) of head 129 generates read signal 32 based upon the magnetization of the disk surface under head 129, and controller 122 processes read signal 32 into data.


SMR Disk Example



FIG. 3 illustrates an example configuration in which a portion of disk 200 is depicted to include three zones of tracks 210. As shown in the example of FIG. 3, zone 224 is a zone of non-overlapping tracks 210 written by write element 142 of head 129, and zones 226 and 228 are zones of overlapping tracks 210 also written by write element 142 of head 129. Zones of non-overlapping tracks, such as zone 224, are referred to herein as conventional magnetic recording (CMR) zones. Zones of overlapping tracks, such as zones 226 and 228, are referred to herein as SMR zones.


As shown in FIG. 3, each track 210 includes a plurality of sectors 222 for storing a fixed amount of data, such as 2,048 bytes, 1,024 bytes or 4,096 bytes. Head 129 includes read element 140 which generates read signal 32 based upon the magnetization of sectors 222. Head 129 also includes write element 142 which converts write signal 32 into a magnetic field that magnetically writes data in sectors 222. In the example of FIG. 3, write element 142 is substantially wider than read element 140 so as to facilitate SMR in SMR zones 226 and 228. In particular, the non-overlapping portions of tracks 210 in SMR zones 226 and 228 form relatively narrow tracks that can be read by read element 140. Accordingly, SMR zones 226 and 228 have a higher number of tracks per inch (TPI) than CMR zone 224. In alternative embodiments, the ratio of the width of the write element to the width of the read element can differ. For example, a write element can be four or five times the width of the read element.


As shown in FIG. 3, SMR zone 226 is separated from CMR zone 224 by gap 230. In addition, SMR zone 226 is separated from SMR zone 228 by gap 232. Gaps 230 and 232 include empty tracks, or tracks without data, that serve as buffers between the zones so as to serve several purposes. In the case of SMR zones 226 and 228, gap 232 allows for the writing of data in SMR zone 226 without overwriting data in a track in adjacent SMR zone 228. SMR zones are generally sequentially written due to the overlapping of the tracks. More specifically, without sequentially writing an SMR zone, the overlapping of tracks can create a problem since new writes to a previously overlapped track would also affect data written in the overlapping track. By having gaps 230 and 232, the zones are separated so as to limit the amount of disk 200 that would need to be sequentially rewritten when only a particular zone requires rewriting.


In addition, SMR zones are generally sequentially written to reduce the effect of adjacent track interference (ATI) from write element 142. The magnetic field from write element 142 can affect data in adjacent tracks in either an inside diameter direction or an outside diameter direction of the disk depending on a direction of overlap. As noted above, this sequential writing of SMR media can present new data management concerns. A solid state non-volatile memory, such as NVM 128, can be configured to accommodate SMR data management concerns as discussed below.


Example Data Management Mechanisms



FIG. 4 illustrates an example of translation table 20, which can be stored in NVM 128. In the example embodiment of FIG. 4, translation table 20 includes LBAs used by host 101 to address data stored on disk 200. In one embodiment, the shingled configuration on disk 200 facilitates a writing pattern in which address indirection is used, such that translation table 20 is used to map the LBAs to the PBAs to which data is written. In this example, each LBA in translation table 20 is mapped to a PBA corresponding to a sector 222 where data associated with the LBA is stored. When performing a read command, controller 122 can access translation table 20 to provide information on where to position head 129 on disk 200. When performing a write command, controller 122 can update translation table 20 with new LBAs and/or PBAs for new data written on disk 200.


As shown in FIG. 4, translation table 20 includes LBA to PBA mapping for two different zones, such as SMR zones 226 and 228 in FIG. 3. For example, LBAs 4,320 to 4,329 can correspond to sectors 222 in SMR zone 226, while LBAs 586,231 to 586,233 can correspond to sectors 222 in SMR zone 228. As will be appreciated by those of ordinary skill in the art, the addresses shown in FIG. 4 can vary by different amounts to take account of various properties of disk 200 such as sector data alignment, servo wedges, or defective sectors. Other embodiments may include separate translation tables for each zone or may include a different number of zones in a combined translation table.


By storing translation table 20 in NVM 128, it is ordinarily possible to access translation table 20 more quickly during operation of storage device 106 than if translation table 20 was stored on disk 200. This is due in part to quicker access times generally associated with solid state NVM.


In addition, when disk 200 is written with new data, translation table 20 can be periodically updated to reflect LBAs and/or PBAs for newly written data. By storing translation table 20 in NVM 128, it is ordinarily possible to simultaneously update translation table 20 while writing on disk 200. This ordinarily improves performance because it is not necessary to reposition head 129 to a different area of disk 200 to update translation table 20 during a write operation.


Storing translation table 20 in NVM 128 also improves a command execution time when storage device 106 is being powered up or awoken from an idle state where disk 200 is not rotating. For example, storage device 106 may read translation table 20 while disk 200 is being spun up to a final speed and thereby shorten the amount of time to complete a read or write command after storage device 106 has been in a powered down or idle state. In one embodiment, translation table 20 may be combined with NVM translation table 26, which maps addresses for data stored in NVM 128.



FIG. 5 illustrates an example of a write log 22a written to disk 200 to log write commands in a particular track 210 of SMR zone 228. Write logs 22 can be written, for example, at the start of each track 210 to log each write command that wrote data on the previous track. As shown in the example of FIG. 5, write logs 22 can include entries indicating a last LBA, last PBA, and a sector length for each write command performed on a particular track. In the event of an unexpected power loss, translation table 20 can be rebuilt using write logs 22 to protect data on disk 200 from inadvertently being overwritten with a new write command. As understood by those of ordinary skill in the art, other arrangements for periodically logging write commands can be made in other embodiments, such as having one write log that is updated based on an amount of data written in a particular zone.


Write log 28a of FIG. 5 can be located at the beginning of a particular track 210 in SMR zone 228. As shown in FIG. 5, write log 28a logs two write commands ending at LBAs: 586,238 and 586,294. The sector length for the first write command is seven sectors and the sector length for the second write command is 56 sectors.


During operation of storage device 106, there may be a need for more frequent logging of write commands than that provided by write logs 22. For some commands, such as forced unit access (FUA) write commands, log data is generated after each write command as opposed to at the beginning of each track 210. In the present disclosure, footer metadata 28 can provide a more frequent log of write commands than write log 22 to even further ensure proper updating of translation table 20 in the event of an unexpected power loss. In the example of write logs 22 that are written at the beginning of each track, footer metadata 28 can act as a bookmark for a most recent write command. As discussed in more detail with reference to FIG. 10, footer metadata 28 can serve to quickly identify when translation table 20 is not up to date upon a power-up of storage device 106. In addition, footer metadata 28 can facilitate the updating process by identifying a range where write logs 22 can be used to update translation table 20 after an unexpected power loss.


If a large number of relatively small write commands requiring footer metadata are written on disk 200, storing footer metadata on disk 200 after each write command can reduce a capacity for user data on disk 200. In other words, a sizable portion of data stored on disk 200 could include footer metadata instead of user data 14. In addition, if such footer metadata were written at the end of each write command throughout a track 210, the resulting fragmentation of user data 14 would worsen the data transfer rate for disk 200. The present disclosure therefore considers storing footer metadata 28 in NVM 128 instead of on disk 200 so as to lessen the effect on a data transfer rate of disk 200 while providing increased data protection.


In addition, by storing footer metadata 28 in NVM 128, it is ordinarily possible to simultaneously write new user data to disk 200 while storing footer metadata in NVM 128. This capability allows for a quicker command completion time in performing writes on disk 200.



FIG. 6 illustrates an example of footer metadata 28 which is stored in NVM 128 to ordinarily avoid decreasing the data transfer rate and user data capacity of disk 200. As shown in FIG. 6, footer metadata 28 includes a mapping for a recent write command on disk 200 for each of SMR zones 226 and 228. Accordingly, footer metadata 28 includes an entry for SMR zone 226 with LBA 4,329 mapping to PBA 2,533 and an entry for SMR zone 228 with LBA 586,360 mapping to PBA 425,742. In one embodiment, each of these entries also includes a sector count which specifies a number of sectors written for the recent write command.


NVM 128 can store one footer metadata entry for each zone on disk 128. Each new write command to a particular zone could then cause the footer metadata entry for the particular zone to be updated for the new write command. In other embodiments, footer metadata 28 may include multiple entries for several of the most recent write commands to a particular zone. In some embodiments, footer metadata 28 may only include entries for particular write commands such as FUA write commands.


In the example of FIG. 6, the most recent write command for SMR zone 226 is at LBA 4,329, which indicates that translation table 20 in FIG. 4 is considered up to date since the last LBA for SMR zone 226 in translation table 20 is also at LBA 4,329. SMR zone 228, on the other hand, has been more recently written than as indicated in translation table 20 of FIG. 4. Specifically, footer metadata 28 in FIG. 6 indicates a recent write at LBA 586,360 but translation table 20 of FIG. 4 indicates a last write for SMR zone 228 at LBA 586,233. If translation table 20 is not properly updated, for example, after an unexpected power loss, footer metadata 28 can be used to update translation table 20 with the most recent write. In addition, footer metadata can also indicate a range on disk 200 in which to search for write logs 22 to fill in translation table 20 for any additional write commands that may not have been updated to translation table 20.


Example Write Processes



FIGS. 7A and 7B are a flowchart for an example write process for storage device 106. In block 300, a write command is received by storage device 106 from host 101 via host interface 126. In block 302, controller 122 of storage device 106 determines whether the received write command meets a randomness criteria. Such a randomness criteria can be, for example, whether data to be written for the write command begins at a correct location for sequentially writing data in a particular zone. In such an example, controller 122 may determine whether a first LBA for the write command would be at a location that would sequentially follow a last written sector in a particular zone. If the received write command meets the randomness criteria in block 304, the process proceeds to block 306 where controller 122 stores the data for the write command in NVM 128. By storing data for random write commands in NVM 128, it is ordinarily possible to prevent fragmentation of disk 200 and reduce the penalties associated with read-modify-write operations. Random writes to an SMR zone can especially affect data transfer rates and capacity for SMR zones which are sequentially written. A random write to an SMR zone may create a large gap in the zone having no data in order to maintain sequential writing. By storing random writes in NVM 128, the amount of defragmentation maintenance performed by storage device 106 can ordinarily be reduced.


If the data for the write command does not meet the randomness criteria in block 302, controller 122 checks in block 304 whether the size of the data for the write command is less than a threshold size, such as the data capacity for one track 210 on disk 200. Small writes to disk 200 can increase fragmentation of sequentially written SMR zones and can incur read-modify-write penalties affecting performance and reliability. Accordingly, if it is determined in block 304 that the data to be written is less than the threshold size, controller 122 stores the data in NVM 128 in block 306.


In block 308, controller 122 updates NVM translation table 26 to map the LBAs for data stored in block 306 to the PBAs corresponding to physical locations in NVM 128. The write process then ends in block 330.


If it is determined in block 304 that the data to be written is not less than the threshold size, controller 122 controls storage device 106 to write the data on disk 200 in block 310. In addition to writing the data for the write command, controller 122 controls storage device 106 in block 310 to write any write logs 22 that may be required to log the write command.


In block 312, if controller 122 receives an input from sensor 134 indicating an environmental condition (e.g., a vibration condition, a temperature condition) while writing data, controller 122 aborts writing the data for the current sector 222 in block 314. The data to be written for the current sector 222 is then stored in NVM 128 in block 316. SMR zones can be more susceptible to write errors caused from vibration since the tracks for SMR zones can be relatively narrow. By storing data in NVM 128 during a detected environmental condition, it is ordinarily possible to continue performing the write command despite the environmental condition detected by sensor 134. In block 318, controller 122 updates NVM translation table 26 to include an entry for data written in block 316. The process returns to block 312 to determine whether there is still an environmental condition detected.


If no environmental condition is detected in block 312, controller 122 controls storage device 106 to complete writing the data on disk 200 in block 320. In block 322, controller 122 determines whether translation table 20 should be check-pointed. This determination can be made, for example, if a certain amount of data has been written since a previous check-pointing of translation table 20, when a predetermined amount of time has expired since a last check-pointing, or if an error was encountered when writing data on disk 200. In block 324, controller 122 check-points translation table 20 in NVM 128 by updating translation table 20 with entries for recently written data. The LBAs and PBAs for updating translation table 20 can come from reading write logs 22 stored on disk 200 since a last entry in translation table 20. The updating in block 324 can be performed for a particular zone for the received write command or can be performed for multiple zones.


In block 326, controller 122 determines whether a new track 210 was needed in writing data on disk 200. If so, footer metadata 28 is stored in NVM 128 to log the write command. The write process then ends in block 330.



FIG. 8 depicts an example write process for a write command that extends over more than one zone on disk 200. The write process of FIG. 8 illustrates how NVM 128 can be used to store a beginning and/or ending portion of data for a multi-zone write command so as to generally align the data written on disk 200 with zone boundaries. By aligning data with zone boundaries, it is ordinarily possible to increase the storage capacity of disk 200 since data extending over multiple zones might otherwise involve leaving a large portion of a zone empty to maintain sequential writing.


In block 332 of FIG. 8, a write command is received by storage device 106 from host 101 via host interface 126. In block 333, controller 122 determines whether the data for the received write command would begin at or near a boundary between a first zone and a second zone if the data were written on disk 200. In determining whether the data begins at or near a boundary it might be sufficient if the data begins within a certain number of LBAs after a zone boundary such as after 1% to 3% of all addresses in a first zone for the write command.



FIG. 9A provides an example where the data for a write command does not begin at or near a zone boundary. As shown in FIG. 9A, a first data portion 402 would begin in the middle of SMR zone 226. Accordingly, controller 122 would determine in block 333 that the data for the received write command would not begin at or near the boundary between SMR zones 226 and 228.


Returning to FIG. 8, if it is determined in block 333 that the data would not begin at or near a zone boundary, controller 122 in block 334 stores a first portion of the data in NVM 128 so that a size of the first portion of the data approximately matches a size of a remaining unwritten portion of the first zone. In the example of FIG. 9A, first data portion 402 is stored in NVM 128 instead of writing first data portion 402 in SMR zone 226.


The process of FIG. 8 then proceeds to block 336 where controller 122 determines whether the remaining portion of the data would substantially fill a whole number of zones. As with the determination in block 333, it may be sufficient if the data for the write command ends before a certain address near the end of a last zone for the write command. For example, a last address within 1% to 3% of the last address in the zone may be sufficient. In the example of FIG. 9A, the remaining portion of the data would substantially fill a whole number of zones. Specifically, second data portion 402 substantially fills a whole number of zones of SMR zones 228, 234 and 236.


If it is determined that the remaining portion of the data for the write command would not substantially fill a whole number of zones, controller 122 in block 338 of FIG. 8 controls storage device 106 to write a whole number of zones for the remaining portion.


If the remaining portion does not extend over more than one zone, block 338 is not performed. For example, the remaining portion may only include half of the data needed to substantially fill a zone. In this case, block 338 would be skipped. On the other hand, if the remaining portion included enough data to cover two and a half zones, the data for the two whole zones would be written in block 338.


In block 339, controller 122 stores the end of the remaining portion in NVM 128. The end of the remaining portion would only cover a fractional portion of a zone on disk 200. The multi-zone write process then ends in block 342.


If controller 122 determines that data would begin at or near a zone boundary, controller 122 controls storage device 106 to write a first portion of the data in a whole number of zones in block 335. In block 336, controller 122 determines whether a remaining portion of the data would substantially fill a whole number of zones. If not, the process proceeds to blocks 338 and 339 as described above. If it is determined that the remaining portion of the data would substantially fill a whole number of zones, controller 122 controls storage device 106 in block 340 to write the remaining portion of the data in the whole number of zones on disk 200. The multi-zone write process then ends in block 342.



FIG. 9B illustrates an example where a remaining portion of the data would not substantially fill a whole number of zones. As shown in FIG. 9B, first data portion 406 begins near the boundary between SMR zone 226 and SMR zone 228. First data portion 406 is therefore written to the whole number of zones of SMR zones 228 and 234 in block 335 of FIG. 8. On the other hand, second data portion 408 would not substantially fill a whole number of zones (i.e., SMR zone 236). Accordingly, second data portion 408 is stored to NVM 128 in block 339 of FIG. 8.


Example Power-Up Check Process and Example Power Loss Process



FIG. 10 is a flowchart for a power-up check process that can be performed by controller 122 upon a power-up of storage device 106. The example process of FIG. 10 can be performed to check if translation table 20 was properly updated during a powering down of storage device 106. This process can be performed for each zone on disk 200.


In block 346, storage device 106 is powered-up and controller 122 in block 348 determines whether the LBA and PBA of footer metadata 28 is stored in translation table 20. This check ordinarily allows controller 122 to determine if translation table 20 has been updated with an entry for the most recent write command logged in footer metadata 28. If translation table 20 includes an entry for the LBA and PBA of footer metadata 28, the power-up check process ends in block 358 since translation table 20 seems up to date.


If translation table 20 does not include an entry corresponding to footer metadata 28, then controller 122 checks whether footer metadata 28 represents a next most recent write in block 350. In more detail, controller 122 may compare the PBA and sector count stored in footer metadata 28 with the last PBA stored in translation table 20 to determine if footer metadata 28 represents the next write from the last entry in translation table 20. For example, if the PBA stored in footer metadata 28 is 425,742 and the sector count is 116, controller 122 would determine in block 350 that footer metadata 28 represents a next write for SMR zone 228 if the last PBA in translation table 20 is 425,626. This is due to the difference in PBAs of footer metadata 28 and translation table 20 equaling the sector count. Controller 122 then updates translation table 20 in block 356 with the LBA and PBA from footer metadata 28. The power-up check process then ends in block 358.


If it is determined in block 350 that footer metadata 28 does not represent a next write, controller 122 searches for at least one write log 22 on disk 200 within a range of PBA's between a last PBA in translation table 20 and the PBA of footer metadata 28. In block 354, controller 122 identifies entries in the at least one write log 22 that are not in translation table 20. These entries correspond to logged write commands that have occurred since translation table 20 was last updated. Thus, in block 356, controller 122 updates translation table 20 using the identified entries from block 354 and footer metadata 28. The power-up check process then ends in block 358.



FIG. 11 is a flowchart for an example process performed by controller 122 when there is an unexpected power loss to storage device 106. When there is an unexpected power loss in block 360, controller 122 controls power controller 136 to receive electric power generated by SM 138 resulting from a continued rotation of SM 138. In block 364, the generated electric power is used by controller 122 to store footer metadata 28 in NVM 128 for an active zone that has been recently written. In some embodiments, the size of footer metadata 28 may correspond to an amount of electric power that can usually be recovered from continued rotation of SM 138 after a power loss. For example, if the electric power generated from SM 138 can usually be used by controller 122 to store 32K bytes of data in NVM 128, the size for each footer metadata 28 could be 8K bytes to enable storage of footer metadata 28 for up to four active zones. After storing footer metadata 28 in block 364, the power loss process ends in block 366.


CONCLUSION

Those of ordinary skill in the art will appreciate that the various illustrative logical blocks, modules, and processes described in connection with the examples disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. Furthermore, the foregoing processes can be embodied on a computer readable medium which causes a processor or computer to perform or execute certain functions.


To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, and modules have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Those of ordinary skill in the art may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.


The various illustrative logical blocks, units, modules, and controllers described in connection with the examples disclosed herein may be implemented or performed with a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.


The activities of a method or process described in connection with the examples disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The steps of the method or algorithm may also be performed in an alternate order from those provided in the examples. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC).


The foregoing description of the disclosed example embodiments is provided to enable any person of ordinary skill in the art to make or use the embodiments in the present disclosure. Various modifications to these examples will be readily apparent to those of ordinary skill in the art, and the principles disclosed herein may be applied to other examples without departing from the spirit or scope of the present disclosure. The described embodiments are to be considered in all respects only as illustrative and not restrictive and the scope of the disclosure is, therefore, indicated by the following claims rather than by the foregoing description. All changes which come within the meaning and range of equivalency of the claims are to be embraced within their scope.

Claims
  • 1. A storage device comprising: a disk for storing data associated with a plurality of logical block addresses (LBAs);a non-volatile memory (NVM) for storing a translation table mapping each of the plurality of LBAs to a respective physical block address (PBA) identifying a physical location on the disk storing the data associated with the LBA; anda controller configured to: store footer metadata in the NVM including an LBA associated with recently written data and a PBA identifying a physical location of the recently written data on the disk; andafter a powering-up of the storage device:determine if the translation table maps the LBA of the footer metadata to the PBA of the footer metadata; andwhen the translation table is determined not to map the LBA of the footer metadata to the PBA of the footer metadata:search for at least one write log in a range between a physical location on the disk corresponding to a PBA of a last entry in the translation table and a physical location corresponding to the PBA of the footer metadata;identify entries in the at least one write log that are not in the translation table; andupdate the translation table using the identified entries in the at least one write log and the footer metadata.
  • 2. The storage device of claim 1, further comprising a spindle motor for rotating the disk, wherein the spindle motor is constructed to generate electric power from a continued rotation of the disk when there is a loss of power to the storage device, andwherein the generated electric power is used by the storage device to store the footer metadata in the NVM for the recently written data.
  • 3. The storage device of claim 1, wherein the disk includes a plurality of overlapping tracks for storing data.
  • 4. The storage device of claim 1, wherein the NVM includes a NAND flash memory and/or a NOR flash memory.
  • 5. The storage device of claim 1, wherein the controller is further configured to: determine if a size of data associated with an LBA is less than a threshold;store the data in the NVM when the size of the data is less than the threshold; andwhen the size of the data is not less than the threshold, control the storage device to write the data on the disk.
  • 6. The storage device of claim 1, wherein the controller is further configured to: receive an input indicating an environmental condition; andin response to receiving the input indicating the environmental condition, control the storage device to abort writing data on the disk and store the data in the NVM.
  • 7. The storage device of claim 6, wherein the environmental condition includes a vibration condition.
  • 8. The storage device of claim 1, wherein the disk includes a plurality of tracks for storing data, with the plurality of tracks grouped into a plurality of zones of tracks, and wherein the controller is further configured to: control the storage device to write a first portion of data associated with a range of LBAs in at least one zone of the plurality of zones; andstore a second portion of the data associated with the range of LBAs in the NVM when the second portion of the data would not substantially fill a second zone of the plurality of zones.
  • 9. The storage device of claim 1, wherein the controller is further configured to: determine whether an LBA associated with data to be stored in the storage device sequentially follows a last written LBA on the disk;when the LBA associated with the data to be stored sequentially follows the last written LBA, control the storage device to write the data associated with the LBA on the disk; andwhen the LBA associated with the data to be stored does not sequentially follow the last written LBA, store the data associated with the LBA in the NVM.
  • 10. The storage device of claim 1, wherein the controller is further configured to: identify a defective portion of the disk;read data adjacent the defective portion; andstore the data read in the NVM.
  • 11. The storage device of claim 1, wherein the disk includes a plurality of tracks for storing data, with the plurality of tracks grouped into a plurality of zones of tracks, and wherein the controller is further configured to: determine whether data to be stored in the storage device would begin at or near a boundary between a first zone and a second zone if the data were written on the disk;when it is determined the data would begin at or near the boundary, control the storage device to write the data on the disk; andwhen it is determined the data would not begin at or near the boundary: store a first portion of the data in the NVM, wherein a size of the first portion of the data approximately matches a size of a remaining unwritten portion of the first zone; andcontrol the storage device to write a second portion of the data following the first portion beginning at or near the boundary between the first and second zones.
  • 12. A method for managing data in a storage device including a disk for storing data associated with a plurality of logical block addresses (LBAs) and a non-volatile memory (NVM) for storing a translation table mapping each of the plurality of LBAs to a respective physical block address (PBA) identifying a physical location on the disk storing the data associated with the LBA, the method comprising: storing footer metadata in the NVM including an LBA associated with recently written data and a PBA identifying a physical location of the recently written data on the disk;wherein after a powering-up of the storage device, the method further comprises:determining if the translation table maps the LBA of the footer metadata to the PBA of the footer metadata; andwhen the translation table is determined not to map the LBA of the footer metadata to the PBA of the footer metadata: searching for at least one write log in a range between a physical location on the disk corresponding to a PBA of a last entry in the translation table and a physical location corresponding to the PBA of the footer metadata;identifying entries in the at least one write log that are in the translation table; andupdating the translation table using the identified entries in the at least one write log and the footer metadata.
  • 13. The method of claim 12, wherein the method further comprises: generating electric power from a continued rotation of the disk when there is a loss of power to the storage device, andusing the generated electric power to store the footer metadata in the NVM for the recently written data.
  • 14. The method of claim 12, wherein the disk includes a plurality of overlapping tracks for storing data.
  • 15. The method of claim 12, wherein the NVM includes a NAND flash memory and/or a NOR flash memory.
  • 16. The method of claim 12, further comprising: determining whether a size of data associated with an LBA is less than a threshold;storing the data in the NVM when the size of the data is determined less than the threshold; andwhen the size of the data is determined not less than the threshold, writing the data on the disk.
  • 17. The method of claim 12, further comprising: receiving an input indicating an environmental condition; andin response to receiving the input indicating the environmental condition, aborting writing data on the disk and storing the data in the NVM.
  • 18. The method of claim 17, wherein the environmental condition includes a vibration condition.
  • 19. The method of claim 12, wherein the disk includes a plurality of tracks for storing data, with the plurality of tracks grouped into a plurality of zones of tracks, and wherein the method further comprises: writing a first portion of data associated with a range of LBAs in at least one zone of the plurality of zones; andstoring a second portion of the data associated with the range of LBAs in the NVM when the second portion of the data would not substantially fill a second zone of the plurality of zones.
  • 20. The method of claim 12, further comprising: determining whether an LBA associated with data to be stored in the storage device sequentially follows a last written LBA on the disk;when the LBA associated with the data to be stored is determined to sequentially follow the last written LBA, writing the data associated with the LBA on the disk; andwhen the LBA associated with the data to be stored is determined to not sequentially follow the last written LBA, storing the data associated with the LBA in the NVM.
  • 21. The method of claim 12, further comprising: identifying a defective portion of the disk;reading data adjacent the defective portion; andstoring the data read in the NVM.
  • 22. The method of claim 12, wherein the disk includes a plurality of tracks for storing data, with the plurality of tracks grouped into a plurality of zones of tracks, and wherein the method further comprises: determining whether data to be stored in the storage device would begin at or near a boundary between a first zone and a second zone if the data were written on the disk;when it is determined the data would begin at or near the boundary, writing the data on the disk; andwhen it is determined the data would not begin at or near the boundary: storing a first portion of the data in the NVM, wherein a size of the first portion of the data approximately matches a size of a remaining unwritten portion of the first zone; andwriting a second portion of the data following the first portion beginning at or near the boundary between the first and second zones.
  • 23. A non-transitory computer-readable storage medium storing computer-executable instructions for operating a storage device including a disk for storing data associated with a plurality of logical block addresses (LBAs) and a non-volatile memory (NVM) for storing a translation table mapping each of the plurality of LBAs to a respective physical block address (PBA) identifying a physical location on the disk storing the data associated with the LBA, wherein when the computer-executable instructions are executed by a processor, the processor: stores footer metadata in the NVM including an LBA associated with recently written data and a PBA identifying a physical location of the recently written data on the disk; andwherein when the computer-executable instructions are executed by the processor after a powering-up of the storage device, the processor further:determines if the translation table maps the LBA of the footer metadata to the PBA of the footer metadata; andwhen the translation table is determined not to map the LBA of the footer metadata to the PBA of the footer metadata, the processor: searches for at least one write log in a range between a physical location on the disk corresponding to a PBA of a last entry in the translation table and a physical location corresponding to the PBA of the footer metadata;identifies entries in the at least one write log that are not in the translation table; andupdates the translation table using the identified entries in the at least one write log and the footer metadata.
  • 24. The non-transitory computer-readable storage medium of claim 23, wherein when the computer-executable instructions are executed by the processor, the processor further: controls the storage device to generate electric power from a continued rotation of the disk when there is a loss of power to the storage device, anduses the generated electric power to store the footer metadata in the NVM for the recently written data.
  • 25. The non-transitory computer-readable storage medium of claim 23, wherein the disk includes a plurality of overlapping tracks for storing data.
  • 26. The non-transitory computer-readable storage medium of claim 23, wherein the NVM includes a NAND flash memory and/or a NOR flash memory.
  • 27. The non-transitory computer-readable storage medium of claim 23, wherein when the computer-executable instructions are executed by the processor, the processor further: determines whether a size of data associated with an LBA is less than a threshold;stores the data in the NVM when the size of the data is determined less than the threshold; andwhen the size of the data is determined not less than the threshold, writes the data on the disk.
  • 28. The non-transitory computer-readable storage medium of claim 23, wherein when the computer-executable instructions are executed by the processor, the processor further: receives an input indicating an environmental condition; andin response to receiving the input indicating the environmental condition, aborts writing data on the disk and stores the data in the NVM.
  • 29. The non-transitory computer-readable storage medium of claim 28, wherein the environmental condition includes a vibration condition.
  • 30. The non-transitory computer-readable storage medium of claim 23, wherein the disk includes a plurality of tracks for storing data, with the plurality of tracks grouped into a plurality of zones of tracks, and wherein when the computer-executable instructions are executed by the processor, the processor further: writes a first portion of data associated with a range of LBAs in at least one zone of the plurality of zones; andstores a second portion of the data associated with the range of LBAs in the NVM when the second portion of the data would not substantially fill a second zone of the plurality of zones.
  • 31. The non-transitory computer-readable storage medium of claim 23, wherein when the computer-executable instructions are executed by the processor, the processor further: determines whether an LBA associated with data to be stored in the storage device sequentially follows a last written LBA on the disk;when the LBA associated with the data to be stored is determined to sequentially follow the last written LBA, writes the data associated with the LBA on the disk; andwhen the LBA associated with the data to be stored is determined to not sequentially follow the last written LBA, stores the data associated with the LBA in the NVM.
  • 32. The non-transitory computer-readable storage medium of claim 23, wherein when the computer-executable instructions are executed by the processor, the processor further: identifies a defective portion of the disk;reads data adjacent the defective portion; andstores the data read in the NVM.
  • 33. The non-transitory computer-readable storage medium of claim 23, wherein the disk includes a plurality of tracks for storing data, with the plurality of tracks grouped into a plurality of zones of tracks, and wherein when the processor executes the computer-executable instructions, the processor further: determines whether data to be stored in the storage device would begin at or near a boundary between a first zone and a second zone if the data were written on the disk;when it is determined the data would begin at or near the boundary, writes the data on the disk; andwhen it is determined the data would not begin at or near the boundary, the processor: stores a first portion of the data in the NVM, wherein a size of the first portion of the data approximately matches a size of a remaining unwritten portion of the first zone; andwrites a second portion of the data following the first portion beginning at or near the boundary between the first and second zones.
  • 34. A storage device comprising: a disk for storing data associated with a plurality of logical block addresses (LBAs), wherein the disk includes a plurality of tracks for storing data, with the plurality of tracks grouped into a plurality of zones of tracks;a non-volatile memory (NVM) for storing a translation table mapping each of the plurality of LBAs to a respective physical block address (PBA) identifying a physical location on the disk storing the data associated with the LBA; anda controller configured to: control the storage device to write a first portion of data associated with a range of LBAs in at least one zone of the plurality of zones; andstore a second portion of the data associated with the range of LBAs in the NVM when the second portion of the data would not substantially fill a second zone of the plurality of zones.
  • 35. A method for managing data in a storage device including a disk for storing data associated with a plurality of logical block addresses (LBAs) and a non-volatile memory (NVM) for storing a translation table mapping each of the plurality of LBAs to a respective physical block address (PBA) identifying a physical location on the disk storing the data associated with the LBA, wherein the disk includes a plurality of tracks for storing data, with the plurality of tracks grouped into a plurality of zones of tracks, the method comprising: writing a first portion of data associated with a range of LBAs in at least one zone of the plurality of zones; andstoring a second portion of the data associated with the range of LBAs in the NVM when the second portion of the data would not substantially fill a second zone of the plurality of zones.
  • 36. A storage device comprising: a disk for storing data associated with a plurality of logical block addresses (LBAs);a non-volatile memory (NVM) for storing a translation table mapping each of the plurality of LBAs to a respective physical block address (PBA) identifying a physical location on the disk storing the data associated with the LBA; anda controller configured to: identify a defective portion of the disk;read data adjacent the defective portion; andstore the data read in the NVM.
  • 37. A method for managing data in a storage device including a disk for storing data associated with a plurality of logical block addresses (LBAs) and a non-volatile memory (NVM) for storing a translation table mapping each of the plurality of LBAs to a respective physical block address (PBA) identifying a physical location on the disk storing the data associated with the LBA, the method comprising: identifying a defective portion of the disk;reading data adjacent the defective portion; andstoring the data read in the NVM.
  • 38. A storage device comprising: a disk for storing data associated with a plurality of logical block addresses (LBAs), wherein the disk includes a plurality of tracks for storing data, with the plurality of tracks grouped into a plurality of zones of tracks;a non-volatile memory (NVM) for storing a translation table mapping each of the plurality of LBAs to a respective physical block address (PBA) identifying a physical location on the disk storing the data associated with the LBA; anda controller configured to: determine whether data to be stored in the storage device would begin at or near a boundary between a first zone and a second zone if the data were written on the disk;when it is determined the data would begin at or near the boundary, control the storage device to write the data on the disk; andwhen it is determined the data would not begin at or near the boundary:store a first portion of the data in the NVM, wherein a size of the first portion of the data approximately matches a size of a remaining unwritten portion of the first zone; andcontrol the storage device to write a second portion of the data following the first portion beginning at or near the boundary between the first and second zones.
  • 39. A method for managing data in a storage device including a disk for storing data associated with a plurality of logical block addresses (LBAs) and a non-volatile memory (NVM) for storing a translation table mapping each of the plurality of LBAs to a respective physical block address (PBA) identifying a physical location on the disk storing the data associated with the LBA, wherein the disk includes a plurality of tracks for storing data, with the plurality of tracks grouped into a plurality of zones of tracks, the method comprising: determining whether data to be stored in the storage device would begin at or near a boundary between a first zone and a second zone if the data were written on the disk;when it is determined the data would begin at or near the boundary, writing the data on the disk; andwhen it is determined the data would not begin at or near the boundary: storing a first portion of the data in the NVM, wherein a size of the first portion of the data approximately matches a size of a remaining unwritten portion of the first zone; andwriting a second portion of the data following the first portion beginning at or near the boundary between the first and second zones.
US Referenced Citations (571)
Number Name Date Kind
5333138 Richards et al. Jul 1994 A
5420998 Horning May 1995 A
5457786 Roush Oct 1995 A
5471604 Hasbun et al. Nov 1995 A
5581785 Nakamura et al. Dec 1996 A
5586291 Lasker et al. Dec 1996 A
5636355 Ramakrishnan et al. Jun 1997 A
5682273 Hetzler Oct 1997 A
5905901 Klein May 1999 A
5913067 Klein Jun 1999 A
5954820 Hetzler Sep 1999 A
6018789 Sokolov et al. Jan 2000 A
6044439 Ballard et al. Mar 2000 A
6065095 Sokolov et al. May 2000 A
6078452 Kittilson et al. Jun 2000 A
6081447 Lofgren et al. Jun 2000 A
6092149 Hicken et al. Jul 2000 A
6092150 Sokolov et al. Jul 2000 A
6094707 Sokolov et al. Jul 2000 A
6105104 Guttmann et al. Aug 2000 A
6111717 Cloke et al. Aug 2000 A
6115200 Allen et al. Sep 2000 A
6145052 Howe et al. Nov 2000 A
6175893 D'Souza et al. Jan 2001 B1
6178056 Cloke et al. Jan 2001 B1
6191909 Cloke et al. Feb 2001 B1
6195218 Guttmann et al. Feb 2001 B1
6205494 Williams Mar 2001 B1
6208477 Cloke et al. Mar 2001 B1
6223303 Billings et al. Apr 2001 B1
6230233 Lofgren et al. May 2001 B1
6236527 Uchiike et al. May 2001 B1
6246346 Cloke et al. Jun 2001 B1
6249393 Billings et al. Jun 2001 B1
6256695 Williams Jul 2001 B1
6262857 Hull et al. Jul 2001 B1
6263459 Schibilla Jul 2001 B1
6272694 Weaver et al. Aug 2001 B1
6275949 Watanabe Aug 2001 B1
6278568 Cloke et al. Aug 2001 B1
6279089 Schibilla et al. Aug 2001 B1
6289484 Rothberg et al. Sep 2001 B1
6292912 Cloke et al. Sep 2001 B1
6295577 Anderson et al. Sep 2001 B1
6310740 Dunbar et al. Oct 2001 B1
6317850 Rothberg Nov 2001 B1
6327106 Rothberg Dec 2001 B1
6337778 Gagne Jan 2002 B1
6369969 Christiansen et al. Apr 2002 B1
6384999 Schibilla May 2002 B1
6388833 Golowka et al. May 2002 B1
6405342 Lee Jun 2002 B1
6408357 Hanmann et al. Jun 2002 B1
6408406 Parris Jun 2002 B1
6411452 Cloke Jun 2002 B1
6411458 Billings et al. Jun 2002 B1
6412083 Rothberg et al. Jun 2002 B1
6415349 Hull et al. Jul 2002 B1
6425128 Krapf et al. Jul 2002 B1
6429990 Serrano et al. Aug 2002 B2
6437935 Johnson et al. Aug 2002 B1
6441981 Cloke et al. Aug 2002 B1
6442328 Elliott et al. Aug 2002 B1
6445524 Nazarian et al. Sep 2002 B1
6449767 Krapf et al. Sep 2002 B1
6453115 Boyle Sep 2002 B1
6470420 Hospodor Oct 2002 B1
6480020 Jung et al. Nov 2002 B1
6480349 Kim et al. Nov 2002 B1
6480932 Vallis et al. Nov 2002 B1
6483986 Krapf Nov 2002 B1
6487032 Cloke et al. Nov 2002 B1
6490635 Holmes Dec 2002 B1
6493173 Kim et al. Dec 2002 B1
6499083 Hamlin Dec 2002 B1
6519104 Cloke et al. Feb 2003 B1
6525892 Dunbar et al. Feb 2003 B1
6545830 Briggs et al. Apr 2003 B1
6546489 Frank, Jr. et al. Apr 2003 B1
6550021 Dalphy et al. Apr 2003 B1
6552880 Dunbar et al. Apr 2003 B1
6553457 Wilkins et al. Apr 2003 B1
6578106 Price Jun 2003 B1
6580573 Hull et al. Jun 2003 B1
6594183 Lofgren et al. Jul 2003 B1
6600620 Krounbi et al. Jul 2003 B1
6601137 Castro et al. Jul 2003 B1
6603622 Christiansen et al. Aug 2003 B1
6603625 Hospodor et al. Aug 2003 B1
6604220 Lee Aug 2003 B1
6606682 Dang et al. Aug 2003 B1
6606714 Thelin Aug 2003 B1
6606717 Yu et al. Aug 2003 B1
6611393 Nguyen et al. Aug 2003 B1
6614616 Michel et al. Sep 2003 B1
6615312 Hamlin et al. Sep 2003 B1
6639748 Christiansen et al. Oct 2003 B1
6647481 Luu et al. Nov 2003 B1
6654193 Thelin Nov 2003 B1
6657810 Kupferman Dec 2003 B1
6661591 Rothberg Dec 2003 B1
6662267 Stewart Dec 2003 B2
6665772 Hamlin Dec 2003 B1
6687073 Kupferman Feb 2004 B1
6687078 Kim Feb 2004 B1
6687850 Rothberg Feb 2004 B1
6690523 Nguyen et al. Feb 2004 B1
6690882 Hanmann et al. Feb 2004 B1
6691198 Hamlin Feb 2004 B1
6691213 Luu et al. Feb 2004 B1
6691255 Rothberg et al. Feb 2004 B1
6693760 Krounbi et al. Feb 2004 B1
6694477 Lee Feb 2004 B1
6697914 Hospodor et al. Feb 2004 B1
6704153 Rothberg et al. Mar 2004 B1
6708251 Boyle et al. Mar 2004 B1
6710951 Cloke Mar 2004 B1
6711628 Thelin Mar 2004 B1
6711635 Wang Mar 2004 B1
6711660 Milne et al. Mar 2004 B1
6715044 Lofgren et al. Mar 2004 B2
6724982 Hamlin Apr 2004 B1
6725329 Ng et al. Apr 2004 B1
6725397 Emberty et al. Apr 2004 B1
6732241 Riedel May 2004 B2
6735650 Rothberg May 2004 B1
6735693 Hamlin May 2004 B1
6744772 Eneboe et al. Jun 2004 B1
6745283 Dang Jun 2004 B1
6751402 Elliott et al. Jun 2004 B1
6754021 Kisaka et al. Jun 2004 B2
6757481 Nazarian et al. Jun 2004 B1
6772281 Hamlin Aug 2004 B2
6781826 Goldstone et al. Aug 2004 B1
6782449 Codilian et al. Aug 2004 B1
6791779 Singh et al. Sep 2004 B1
6792486 Hanan et al. Sep 2004 B1
6798599 Dykes et al. Sep 2004 B2
6799274 Hamlin Sep 2004 B1
6807630 Lay et al. Oct 2004 B2
6811427 Garrett et al. Nov 2004 B2
6826003 Subrahmanyam Nov 2004 B1
6826614 Hanmann et al. Nov 2004 B1
6832041 Boyle Dec 2004 B1
6832929 Garrett et al. Dec 2004 B2
6845405 Thelin Jan 2005 B1
6845427 Atai-Azimi Jan 2005 B1
6845456 Menezes et al. Jan 2005 B1
6850443 Lofgren et al. Feb 2005 B2
6851055 Boyle et al. Feb 2005 B1
6851063 Boyle et al. Feb 2005 B1
6853731 Boyle et al. Feb 2005 B1
6854022 Thelin Feb 2005 B1
6862660 Wilkins et al. Mar 2005 B1
6880043 Castro et al. Apr 2005 B1
6882486 Kupferman Apr 2005 B1
6884085 Goldstone Apr 2005 B1
6888831 Hospodor et al. May 2005 B1
6892217 Hanmann et al. May 2005 B1
6892249 Codilian et al. May 2005 B1
6892313 Codilian et al. May 2005 B1
6895455 Rothberg May 2005 B1
6895500 Rothberg May 2005 B1
6898730 Hanan May 2005 B1
6909574 Aikawa et al. Jun 2005 B2
6910099 Wang et al. Jun 2005 B1
6928470 Hamlin Aug 2005 B1
6928518 Talagala Aug 2005 B2
6931439 Hanmann et al. Aug 2005 B1
6934104 Kupferman Aug 2005 B1
6934713 Schwartz et al. Aug 2005 B2
6940873 Boyle et al. Sep 2005 B2
6943978 Lee Sep 2005 B1
6948165 Luu et al. Sep 2005 B1
6950267 Liu et al. Sep 2005 B1
6954733 Ellis et al. Oct 2005 B1
6961814 Thelin et al. Nov 2005 B1
6965489 Lee et al. Nov 2005 B1
6965563 Hospodor et al. Nov 2005 B1
6965966 Rothberg et al. Nov 2005 B1
6967799 Lee Nov 2005 B1
6968422 Codilian et al. Nov 2005 B1
6968450 Rothberg et al. Nov 2005 B1
6973495 Milne et al. Dec 2005 B1
6973570 Hamlin Dec 2005 B1
6976190 Goldstone Dec 2005 B1
6983316 Milne et al. Jan 2006 B1
6986007 Procyk et al. Jan 2006 B1
6986154 Price et al. Jan 2006 B1
6995933 Codilian et al. Feb 2006 B1
6996501 Rothberg Feb 2006 B1
6996669 Dang et al. Feb 2006 B1
7002926 Eneboe et al. Feb 2006 B1
7003620 Avraham et al. Feb 2006 B2
7003674 Hamlin Feb 2006 B1
7006316 Sargenti, Jr. et al. Feb 2006 B1
7009820 Hogg Mar 2006 B1
7017037 Fortin et al. Mar 2006 B2
7023639 Kupferman Apr 2006 B1
7024491 Hanmann et al. Apr 2006 B1
7024549 Luu et al. Apr 2006 B1
7024614 Thelin et al. Apr 2006 B1
7027716 Boyle et al. Apr 2006 B1
7028174 Atai-Azimi et al. Apr 2006 B1
7031902 Catiller Apr 2006 B1
7046465 Kupferman May 2006 B1
7046488 Hogg May 2006 B1
7050252 Vallis May 2006 B1
7054937 Milne et al. May 2006 B1
7055000 Severtson May 2006 B1
7055167 Masters May 2006 B1
7057836 Kupferman Jun 2006 B1
7062398 Rothberg Jun 2006 B1
7075746 Kupferman Jul 2006 B1
7076604 Thelin Jul 2006 B1
7076605 Son Jul 2006 B1
7082494 Thelin et al. Jul 2006 B1
7088538 Codilian et al. Aug 2006 B1
7088545 Singh et al. Aug 2006 B1
7092186 Hogg Aug 2006 B1
7095577 Codilian et al. Aug 2006 B1
7099095 Subrahmanyam et al. Aug 2006 B1
7106537 Bennett Sep 2006 B1
7106947 Boyle et al. Sep 2006 B2
7107444 Fortin et al. Sep 2006 B2
7110202 Vasquez Sep 2006 B1
7111116 Boyle et al. Sep 2006 B1
7114029 Thelin Sep 2006 B1
7120737 Thelin Oct 2006 B1
7120806 Codilian et al. Oct 2006 B1
7126776 Warren, Jr. et al. Oct 2006 B1
7129763 Bennett et al. Oct 2006 B1
7133600 Boyle Nov 2006 B1
7136244 Rothberg Nov 2006 B1
7139933 Hsu et al. Nov 2006 B2
7142385 Shimotono et al. Nov 2006 B2
7146094 Boyle Dec 2006 B1
7149046 Coker et al. Dec 2006 B1
7150036 Milne et al. Dec 2006 B1
7155616 Hamlin Dec 2006 B1
7171108 Masters et al. Jan 2007 B1
7171110 Wilshire Jan 2007 B1
7194576 Boyle Mar 2007 B1
7200698 Rothberg Apr 2007 B1
7205805 Bennett Apr 2007 B1
7206497 Boyle et al. Apr 2007 B1
7206948 Brauer Apr 2007 B2
7215496 Kupferman et al. May 2007 B1
7215771 Hamlin May 2007 B1
7231198 Loughran Jun 2007 B2
7237054 Cain et al. Jun 2007 B1
7240161 Boyle Jul 2007 B1
7249365 Price et al. Jul 2007 B1
7254721 Tobias et al. Aug 2007 B1
7263709 Krapf Aug 2007 B1
7274639 Codilian et al. Sep 2007 B1
7274659 Hospodor Sep 2007 B2
7275116 Hanmann et al. Sep 2007 B1
7275166 Kaiju et al. Sep 2007 B2
7280302 Masiewicz Oct 2007 B1
7292774 Masters et al. Nov 2007 B1
7292775 Boyle et al. Nov 2007 B1
7296284 Price et al. Nov 2007 B1
7302501 Cain et al. Nov 2007 B1
7302579 Cain et al. Nov 2007 B1
7318088 Mann Jan 2008 B1
7319806 Willner et al. Jan 2008 B1
7325244 Boyle et al. Jan 2008 B2
7330323 Singh et al. Feb 2008 B1
7334082 Grover et al. Feb 2008 B2
7340647 Aasheim et al. Mar 2008 B2
7346790 Klein Mar 2008 B1
7350105 Aasheim et al. Mar 2008 B2
7366641 Masiewicz et al. Apr 2008 B1
7369340 Dang et al. May 2008 B1
7369343 Yeo et al. May 2008 B1
7372650 Kupferman May 2008 B1
7380147 Sun May 2008 B1
7392340 Dang et al. Jun 2008 B1
7395452 Nicholson et al. Jul 2008 B2
7404013 Masiewicz Jul 2008 B1
7406545 Rothberg et al. Jul 2008 B1
7411757 Chu et al. Aug 2008 B2
7415571 Hanan Aug 2008 B1
7421552 Long Sep 2008 B2
7425810 Hobbet et al. Sep 2008 B2
7436610 Thelin Oct 2008 B1
7437502 Coker Oct 2008 B1
7440214 Ell et al. Oct 2008 B1
7451344 Rothberg Nov 2008 B1
7461202 Forrer, Jr. et al. Dec 2008 B2
7468854 Yamashita et al. Dec 2008 B2
7471483 Ferris et al. Dec 2008 B1
7471486 Coker et al. Dec 2008 B1
7472222 Auerbach et al. Dec 2008 B2
7477477 Maruchi et al. Jan 2009 B2
7483234 Shimozato Jan 2009 B2
7486060 Bennett Feb 2009 B1
7496493 Stevens Feb 2009 B1
7509471 Gorobets Mar 2009 B2
7516346 Pinheiro et al. Apr 2009 B2
7518819 Yu et al. Apr 2009 B1
7526184 Parkinen et al. Apr 2009 B1
7539924 Vasquez et al. May 2009 B1
7543117 Hanan Jun 2009 B1
7551383 Kupferman Jun 2009 B1
7552347 Schutte Jun 2009 B2
7562282 Rothberg Jul 2009 B1
7577973 Kapner, III et al. Aug 2009 B1
7596797 Kapner, III et al. Sep 2009 B1
7599139 Bombet et al. Oct 2009 B1
7610438 Lee et al. Oct 2009 B2
7610445 Manus et al. Oct 2009 B1
7613876 Bruce et al. Nov 2009 B2
7619841 Kupferman Nov 2009 B1
7620773 Nicholson et al. Nov 2009 B2
7644231 Recio et al. Jan 2010 B2
7647513 Tobias et al. Jan 2010 B2
7647544 Masiewicz Jan 2010 B1
7649704 Bombet et al. Jan 2010 B1
7653927 Kapner, III et al. Jan 2010 B1
7656603 Xing Feb 2010 B1
7656763 Jin et al. Feb 2010 B1
7657149 Boyle Feb 2010 B2
7672072 Boyle et al. Mar 2010 B1
7673075 Masiewicz Mar 2010 B1
7685360 Brunnett et al. Mar 2010 B1
7688540 Mei et al. Mar 2010 B1
7698586 Kim et al. Apr 2010 B2
7719785 Taniguchi et al. May 2010 B2
7724461 McFadyen et al. May 2010 B1
7725584 Hanmann et al. May 2010 B1
7730295 Lee Jun 2010 B1
7752491 Liikanen et al. Jul 2010 B1
7760458 Trinh Jul 2010 B1
7768776 Szeremeta et al. Aug 2010 B1
7774556 Karamcheti et al. Aug 2010 B2
7797487 Lubbers et al. Sep 2010 B2
7804657 Hogg et al. Sep 2010 B1
7813954 Price et al. Oct 2010 B1
7817372 Takahashi Oct 2010 B2
7827320 Stevens Nov 2010 B1
7835104 Yamashita et al. Nov 2010 B2
7839588 Dang et al. Nov 2010 B1
7843660 Yeo Nov 2010 B1
7852596 Boyle et al. Dec 2010 B2
7859782 Lee Dec 2010 B1
7872822 Rothberg Jan 2011 B1
7890696 Lawson Feb 2011 B2
7898756 Wang Mar 2011 B1
7898762 Guo et al. Mar 2011 B1
7900037 Fallone et al. Mar 2011 B1
7907364 Boyle et al. Mar 2011 B2
7929234 Boyle et al. Apr 2011 B1
7933087 Tsai et al. Apr 2011 B1
7933090 Jung et al. Apr 2011 B1
7934030 Sargenti, Jr. et al. Apr 2011 B1
7940491 Szeremeta et al. May 2011 B2
7944639 Wang May 2011 B1
7945727 Rothberg et al. May 2011 B2
7949564 Hughes et al. May 2011 B1
7974029 Tsai et al. Jul 2011 B2
7974039 Xu et al. Jul 2011 B1
7982993 Tsai et al. Jul 2011 B1
7984200 Bombet et al. Jul 2011 B1
7984259 English Jul 2011 B1
7990648 Wang Aug 2011 B1
7992179 Kapner, III et al. Aug 2011 B1
8004785 Tsai et al. Aug 2011 B1
8006027 Stevens et al. Aug 2011 B1
8014094 Jin Sep 2011 B1
8014977 Masiewicz et al. Sep 2011 B1
8019914 Vasquez et al. Sep 2011 B1
8040625 Boyle et al. Oct 2011 B1
8060707 Fairhurst et al. Nov 2011 B2
8078943 Lee Dec 2011 B1
8079045 Krapf et al. Dec 2011 B2
8082433 Fallone et al. Dec 2011 B1
8085487 Jung et al. Dec 2011 B1
8089719 Dakroub Jan 2012 B1
8090902 Bennett et al. Jan 2012 B1
8090906 Blaha et al. Jan 2012 B1
8091112 Elliott et al. Jan 2012 B1
8094396 Zhang et al. Jan 2012 B1
8094401 Peng et al. Jan 2012 B1
8098451 Graef Jan 2012 B2
8116020 Lee Feb 2012 B1
8116025 Chan et al. Feb 2012 B1
8134793 Vasquez et al. Mar 2012 B1
8134798 Thelin et al. Mar 2012 B1
8139301 Li et al. Mar 2012 B1
8139307 Kim et al. Mar 2012 B2
8139310 Hogg Mar 2012 B1
8144419 Liu Mar 2012 B1
8145452 Masiewicz et al. Mar 2012 B1
8149528 Suratman et al. Apr 2012 B1
8154812 Boyle et al. Apr 2012 B1
8159768 Miyamura Apr 2012 B1
8161328 Wilshire Apr 2012 B1
8164849 Szeremeta et al. Apr 2012 B1
8169726 Wilson May 2012 B2
8174780 Tsai et al. May 2012 B1
8190575 Ong et al. May 2012 B1
8194338 Zhang Jun 2012 B1
8194340 Boyle et al. Jun 2012 B1
8194341 Boyle Jun 2012 B1
8201066 Wang Jun 2012 B1
8244975 DeCenzo Aug 2012 B2
8245003 Suzuki et al. Aug 2012 B2
8271692 Dinh et al. Sep 2012 B1
8279550 Hogg Oct 2012 B1
8281218 Ybarra et al. Oct 2012 B1
8285923 Stevens Oct 2012 B2
8286018 Chang et al. Oct 2012 B2
8289656 Huber Oct 2012 B1
8305705 Roohr Nov 2012 B1
8307156 Codilian et al. Nov 2012 B1
8310775 Boguslawski et al. Nov 2012 B1
8315006 Chahwan et al. Nov 2012 B1
8316263 Gough et al. Nov 2012 B1
8320067 Tsai et al. Nov 2012 B1
8324974 Bennett Dec 2012 B1
8332695 Dalphy et al. Dec 2012 B2
8341337 Ong et al. Dec 2012 B1
8341339 Boyle et al. Dec 2012 B1
8350628 Bennett Jan 2013 B1
8356184 Meyer et al. Jan 2013 B1
8370683 Ryan et al. Feb 2013 B1
8375225 Ybarra Feb 2013 B1
8375274 Bonke Feb 2013 B1
8380922 DeForest et al. Feb 2013 B1
8390948 Hogg Mar 2013 B2
8390952 Szeremeta Mar 2013 B1
8392689 Lott Mar 2013 B1
8407393 Yolar et al. Mar 2013 B1
8413010 Vasquez et al. Apr 2013 B1
8417566 Price et al. Apr 2013 B2
8421663 Bennett Apr 2013 B1
8422172 Dakroub et al. Apr 2013 B1
8427771 Tsai Apr 2013 B1
8429343 Tsai Apr 2013 B1
8433937 Wheelock et al. Apr 2013 B1
8433977 Vasquez et al. Apr 2013 B1
8458526 Dalphy et al. Jun 2013 B2
8462466 Huber Jun 2013 B2
8467151 Huber Jun 2013 B1
8489841 Strecke et al. Jul 2013 B1
8493679 Boguslawski et al. Jul 2013 B1
8498074 Mobley et al. Jul 2013 B1
8499198 Messenger et al. Jul 2013 B1
8512049 Huber et al. Aug 2013 B1
8514506 Li et al. Aug 2013 B1
8531791 Reid et al. Sep 2013 B1
8554741 Malina Oct 2013 B1
8560759 Boyle et al. Oct 2013 B1
8565053 Chung Oct 2013 B1
8576511 Coker et al. Nov 2013 B1
8578100 Huynh et al. Nov 2013 B1
8578242 Burton et al. Nov 2013 B1
8589773 Wang et al. Nov 2013 B1
8593753 Anderson Nov 2013 B1
8595432 Vinson et al. Nov 2013 B1
8599510 Fallone Dec 2013 B1
8601248 Thorsted Dec 2013 B2
8611032 Champion et al. Dec 2013 B2
8612644 Kumasawa et al. Dec 2013 B2
8612650 Carrie et al. Dec 2013 B1
8612706 Madril et al. Dec 2013 B1
8612798 Tsai Dec 2013 B1
8619383 Jung et al. Dec 2013 B1
8621115 Bombet et al. Dec 2013 B1
8621133 Boyle Dec 2013 B1
8626463 Stevens et al. Jan 2014 B2
8630052 Jung et al. Jan 2014 B1
8630056 Ong Jan 2014 B1
8631188 Heath et al. Jan 2014 B1
8634158 Chahwan et al. Jan 2014 B1
8635412 Wilshire Jan 2014 B1
8640007 Schulze Jan 2014 B1
8654619 Cheng Feb 2014 B1
8661193 Cobos et al. Feb 2014 B1
8667248 Neppalli Mar 2014 B1
8670205 Malina et al. Mar 2014 B1
8683295 Syu et al. Mar 2014 B1
8683457 Hughes et al. Mar 2014 B1
8687306 Coker et al. Apr 2014 B1
8693133 Lee et al. Apr 2014 B1
8694841 Chung et al. Apr 2014 B1
8699159 Malina Apr 2014 B1
8699171 Boyle Apr 2014 B1
8699172 Gunderson et al. Apr 2014 B1
8699175 Olds et al. Apr 2014 B1
8699185 Teh et al. Apr 2014 B1
8700850 Lalouette Apr 2014 B1
8719501 Flynn et al. May 2014 B2
8743502 Bonke et al. Jun 2014 B1
8749910 Dang et al. Jun 2014 B1
8751699 Tsai et al. Jun 2014 B1
8755141 Dang Jun 2014 B1
8755143 Wilson et al. Jun 2014 B2
8756361 Pruett et al. Jun 2014 B1
8756382 Carlson et al. Jun 2014 B1
8769593 Elliott et al. Jul 2014 B1
8773802 Anderson et al. Jul 2014 B1
8775720 Meyer et al. Jul 2014 B1
8780478 Huynh et al. Jul 2014 B1
8782334 Boyle et al. Jul 2014 B1
8793532 Tsai et al. Jul 2014 B1
8797669 Burton Aug 2014 B1
8799977 Kapner, III et al. Aug 2014 B1
20020083264 Coulson Jun 2002 A1
20030140198 Ninose et al. Jul 2003 A1
20030145167 Tomita Jul 2003 A1
20050108473 Le Moal et al. May 2005 A1
20050120251 Fukumori Jun 2005 A1
20060075185 Azzarito et al. Apr 2006 A1
20060195657 Tien et al. Aug 2006 A1
20070006021 Nicholson et al. Jan 2007 A1
20070050540 Klein Mar 2007 A1
20070162693 Nam Jul 2007 A1
20080024899 Chu et al. Jan 2008 A1
20080040537 Kim Feb 2008 A1
20080049354 Nitta Feb 2008 A1
20080059694 Lee Mar 2008 A1
20080130156 Chu et al. Jun 2008 A1
20080177938 Yu Jul 2008 A1
20080222353 Nam et al. Sep 2008 A1
20080256287 Lee et al. Oct 2008 A1
20080288714 Salomon et al. Nov 2008 A1
20080307270 Li Dec 2008 A1
20090019218 Sinclair et al. Jan 2009 A1
20090024793 Fontenot et al. Jan 2009 A1
20090031072 Sartore Jan 2009 A1
20090089501 Ahn et al. Apr 2009 A1
20090103203 Yoshida Apr 2009 A1
20090106518 Dow Apr 2009 A1
20090113702 Hogg May 2009 A1
20090144501 Yim et al. Jun 2009 A2
20090150599 Bennett Jun 2009 A1
20090172249 Matthews Jul 2009 A1
20090172324 Han et al. Jul 2009 A1
20090172499 Olbrich et al. Jul 2009 A1
20090198940 Ash et al. Aug 2009 A1
20090213486 Takahashi Aug 2009 A1
20090249168 Inoue Oct 2009 A1
20090271562 Sinclair Oct 2009 A1
20090327603 McKean et al. Dec 2009 A1
20100067138 Ooi et al. Mar 2010 A1
20100088459 Arya et al. Apr 2010 A1
20100122030 Peters et al. May 2010 A1
20100169541 Freikorn Jul 2010 A1
20100191922 Dickey et al. Jul 2010 A1
20100195243 Zhu et al. Aug 2010 A1
20100306551 Meyer et al. Dec 2010 A1
20100325352 Schuette et al. Dec 2010 A1
20110010490 Kwon et al. Jan 2011 A1
20110106804 Keeler et al. May 2011 A1
20110226729 Hogg Sep 2011 A1
20110283128 Farhan et al. Nov 2011 A1
20120159042 Lott et al. Jun 2012 A1
20120170435 Trantham Jul 2012 A1
20120275050 Wilson et al. Nov 2012 A1
20120281963 Krapf et al. Nov 2012 A1
20120290779 Eleftheriou et al. Nov 2012 A1
20120317338 Yi et al. Dec 2012 A1
20120324980 Nguyen et al. Dec 2012 A1
20130024650 Ambat et al. Jan 2013 A1
20130117520 Ryu May 2013 A1
20130173850 Song Jul 2013 A1
20130290668 Na Oct 2013 A1
20140201424 Chen et al. Jul 2014 A1
Non-Patent Literature Citations (10)
Entry
U.S. Appl. No. 12/720,568, filed Mar. 9, 2010, 22 pages.
Hannes Payer, Marco A.A. Sanvido, Zvonimir Z. Bandic, Christoph M. Kirsch, “Combo Drive: Optimizing Cost and Performance in a Heterogeneous Storage Device”, http://csl.cse.psu.edu/wish2009—papers/Payer.pdf.
Gokul Soundararajan, Vijayan Prabhakaran, Mahesh Balakrishan, Ted Wobber, “Extending SSD Lifetimes with Disk-Based Write Caches”, http://research.microsoft.com/pubs/115352/hybrid.pdf, Feb. 2010.
Xiaojian Wu, A. L. Narasimha Reddy, “Managing Storage Space in a Flash and Disk Hybrid Storage System”, http://www.ee.tamu.edu/˜reddy/papers/mascots09.pdf.
Tao Xie, Deepthi Madathil, “SAIL: Self-Adaptive File Reallocation on Hybrid Disk Arrays”, The 15th Annual IEEE International Conference on High Performance Computing (HIPC 2008), Bangalore, India, Dec. 17-20, 2008.
Non-Volatile Memory Host Controller Interface revision 1.0 specification available for download at http://www.intel.com/standards/nvmhci/index.htm. Ratified on Apr. 14, 2008, 65 pages.
DongKyu Lee; Koh, K.; “PDC-NH: Popular data concentration on NAND flash and hard disk drive,” 2009 10th IEEE/ACM International Conference on Grid Computing, pp. 196-200, Oct. 13-15, 2009.
Boyle, et. al., U.S. Appl. No. 12/824,959, filed Jun. 28, 2010, 21 pages.
Boyle, et. al., U.S. Appl. No. 13/105,800, filed May 11, 2011,19 pages.
Wilkins, et. al.,U.S. Appl. No. 13/157,111, filed Jun. 9, 2011, 16 pages.