Unless otherwise indicated herein, the approaches described in this section are not admitted to be prior art by inclusion in this section.
Virtualization allows the abstraction and pooling of hardware resources to support virtual machines in a software-defined networking (SDN) environment, such as a software-defined data center (SDDC). For example, through server virtualization, virtual machines running different operating systems may be supported by the same physical machine (also referred to as a “host”). Each virtual machine is generally provisioned with virtual resources to run an operating system and applications. The virtual resources may include central processing unit (CPU) resources, memory resources, storage resources, network resources, etc.
In practice, a network management entity may be deployed to disseminate control information to hosts in the SDN environment in order to support various network operations, such as firewall rule implementation for network security purposes, etc. However, as the scale and complexity of the SDN environment increases, the amount of control information received by each host may also increase significantly, which may affect the performance of the hosts.
In the following detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, similar symbols typically identify similar components, unless context dictates otherwise. The illustrative embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented here. It will be readily understood that the aspects of the present disclosure, as generally described herein, and illustrated in the drawings, can be arranged, substituted, combined, and designed in a wide variety of different configurations, all of which are explicitly contemplated herein.
Challenges relating to control information dissemination or publication will now be explained in more detail using
Each host 110A/110B/110F may include suitable hardware 112A/112B/112F and virtualization software (e.g., hypervisor-A 114A, hypervisor-B 114B, hypervisor-F 114C) to support various VMs. For example, hosts 110A-F may support respective VMs 131-136 (see also
Virtual resources are allocated to respective VMs 131-136 to support a guest operating system (OS) and application(s). For example, the virtual resources may include virtual CPU, guest physical memory, virtual disk, virtual network interface controller (VNIC), etc. Hardware resources may be emulated using virtual machine monitors (VMMs). For example in
Although examples of the present disclosure refer to VMs, it should be understood that a “virtual machine” running on a host is merely one example of a “virtualized computing instance” or “workload.” A virtualized computing instance may represent an addressable data compute node (DCN) or isolated user space instance. In practice, any suitable technology may be used to provide isolated user space instances, not just hardware virtualization. Other virtualized computing instances may include containers (e.g., running within a VM or on top of a host operating system without the need for a hypervisor or separate operating system or implemented as an operating system level virtualization), virtual private servers, client computers, etc. Such container technology is available from, among others, Docker, Inc. The VMs may also be complete computational environments, containing virtual equivalents of the hardware and software components of a physical computing system.
The term “hypervisor” may refer generally to a software layer or component that supports the execution of multiple virtualized computing instances, including system-level software in guest VMs that supports namespace containers such as Docker, etc. Hypervisors 114A-F may each implement any suitable virtualization technology, such as VMware ESX® or ESXi™ (available from VMware, Inc.), Kernel-based Virtual Machine (KVM), etc. The term “packet” may refer generally to a group of bits that can be transported together, and may be in another form, such as “frame,” “message,” “segment,” etc. The term “traffic” or “flow” may refer generally to multiple packets. The term “layer-2” may refer generally to a link layer or media access control (MAC) layer; “layer-3” to a network or Internet Protocol (IP) layer; and “layer-4” to a transport layer (e.g., using Transmission Control Protocol (TCP), User Datagram Protocol (UDP), etc.), in the Open System Interconnection (OSI) model, although the concepts described herein may be used with other networking models.
Hypervisor 114A/114B/114F implements virtual switch 115A/115B/115F and logical distributed router (DR) instance 117A/117B/117F to handle egress packets from, and ingress packets to, corresponding VMs. In SDN environment 100, logical switches and logical DRs may be implemented in a distributed manner and can span multiple hosts. For example, logical switches that provide logical layer-2 connectivity, i.e., an overlay network, may be implemented collectively by virtual switches 115A-F and represented internally using forwarding tables 116A-F at respective virtual switches 115A-F. Forwarding tables 116A-F may each include entries that collectively implement the respective logical switches. Further, logical DRs that provide logical layer-3 connectivity may be implemented collectively by DR instances 117A-F and represented internally using routing tables 118A-F at respective DR instances 117A-F. Routing tables 118A-F may each include entries that collectively implement the respective logical DRs.
Packets may be received from, or sent to, each VM via an associated logical port. For example, logical switch ports 141-146 are associated with respective VMs 131-136. Here, the term “logical port” or “logical switch port” may refer generally to a port on a logical switch to which a virtualized computing instance is connected. A “logical switch” may refer generally to a software-defined networking (SDN) construct that is collectively implemented by virtual switches 115A-F in
Through virtualization of networking services in SDN environment 100, logical networks (also referred to as overlay networks or logical overlay networks) may be provisioned, changed, stored, deleted and restored programmatically without having to reconfigure the underlying physical hardware architecture. A logical network may be formed using any suitable tunneling protocol, such as Virtual eXtensible Local Area Network (VXLAN), Stateless Transport Tunneling (STT), Generic Network Virtualization Encapsulation (GENEVE), etc. For example, VXLAN is a layer-2 overlay scheme on a layer-3 network that uses tunnel encapsulation to extend layer-2 segments across multiple hosts which may reside on different layer 2 physical networks. In the example in
SDN controller 160 and SDN manager 170 are example network management entities in SDN environment 100. One example of an SDN controller is the NSX controller component of VMware NSX® (available from VMware, Inc.) that operates on a central control plane. SDN controller 160 may be a member of a controller cluster (not shown for simplicity) that is configurable using SDN manager 170 operating on a management plane. Network management entity 160/170 may be implemented using physical machine(s), VM(s), or both. Logical switches, logical routers, and logical overlay networks may be configured using SDN controller 160, SDN manager 170, etc. To send or receive control information, local control plane (LCP) agent 119A/119B/119F on host 110A/1106/110F may interact with central control plane (CCP) module 162 at SDN controller 160 via control-plane channel 101A/101B/101F.
Hosts 110A-F may also maintain data-plane connectivity among themselves via physical network 104 to facilitate communication among VMs located on the same logical overlay network. Hypervisor 114A/114B/114F may implement a virtual tunnel endpoint (VTEP) (not shown) to encapsulate and decapsulate packets with an outer header (also known as a tunnel header) identifying the relevant logical overlay network (e.g., using a VXLAN (or “virtual” network identifier (VNI) added to a header field). For example in
To facilitate configuration management in SDN environment 100, network groups of any suitable size and member type(s) may be defined at management and/or control planes. Some examples will be discussed using
In a nested group configuration, a (child or descendant) group may be a member of a (parent) group. For example, NSG2222 is a nested group that includes [IP2, LSP4, NSG5], where NSG5225 further includes [LSP2, LSP3, MAC2]. In other words, members of child=NSG5225 are indirect members of parent=NSG2222. In another example, NSG4224 includes [LSP4, NSG6], where NSG 226 further includes [LSP5, LSP6]. [LSP2, LSP3, LSP5, LSP6] may identify respective logical switch ports LSP2142 connected to VM2132 at host-B 110B, LSP3143 connected to VM3133 at host-C 110C, LSP5145 connected to VM5135 at host-E 110E and LSP6146 connected to VM6136 at host-F 110F.
To facilitate configuration management, groups 221-226 may be “consumed” or referenced by any suitable network configuration object, such as a firewall rule (e.g., RULE1211), a profile (e.g., PROFILE1212), etc. For example, when a user wishes to apply a firewall rule to some logical entities, they could define a group of entities and apply the firewall rule to the group instead of having to apply the same rule to each entity one by one. In another example, when the user wishes to define a firewall rule between different source-destination pairs, the firewall rule may be defined using a group of source addresses and a group of destination addresses. This way, the configuration process may be more efficient because it is not necessary to create a separate firewall rule for each and every source-destination pair.
To implement network configuration objects 211-212, a network management entity such as SDN controller 160 may disseminate control information associated with groups 221-226 to hosts 110A-F. Conventionally, one simple approach is to send a full set of control information associated with groups 221-226 to hosts 110A-F in SDN environment 100, regardless of whether the control information is required. However, as the scale and complexity of SDN environment 100 increases, the amount of control information received by each host also increases significantly. The increased processing burden may adversely affect the performance of the hosts, such as in terms of CPU and memory performance. The configuration of nested groups generally further exacerbates this problem.
Topology-Aware Control Information Dissemination
According to examples of the present disclosure, control information dissemination or publication may be improved using a topology-aware approach. Here, the term “topology-aware” may refer generally to an approach that is based on group topology information associated with network groups in SDN environment 100. The term “group topology information” may refer generally to any suitable information specifying network group(s) and network configuration object(s) referencing the network group(s). In the example in
By considering group topology information 200, SDN controller 160 may assess whether it is necessary to send a full set of control information associated with each and every group member to hosts 110A-F in the example in
In the following, an example will be described using NSG1221 as an example “network group,” RULE1211 as a “network configuration object,” host-B 110B as a “first host,” host-C 110C or host-D 110D as a “second host.” Throughout the present disclosure, it should be understood that although the terms “first” and “second” are used to describe various elements, these elements should not be limited by these terms. These terms are used to distinguish one element from another. For example, a first element may be referred to as a second element, and vice versa. Any one of hosts 110A-F may perform the role of a “first host” or a “second host.”
At 310 in
At 320 and 330 in
In the example in
As will be described further below, examples of the present disclosure may be implemented to reduce the volume of control information (see 180A-F) sent to respective hosts 110A-F. Using examples of the present disclosure, SDN controller 160 may determine whether control information associated with a particular member of a network group is relevant to hosts 110A-F. This should be contrasted against conventional approaches that may (blindly) inundate each and every host with the full set of control information.
For example, if a network group has 100 logical switch ports but a particular host only supports 10 of them, the host generally does not need the control information associated with the other 90 logical switch ports. The reduction in the volume of control information may be more apparent as the number and size of network groups in of SDN environment 100 increase. This way, the processing burden on hosts 110A-F may be reduced, which may instead dedicate more CPU and memory resources to support operations of respective VMs 131-136. The overhead on control-plane channels 101A-F may also be reduced.
It should be understood that examples of the present disclosure may be implemented for any suitable “member,” “network group,” and “network configuration object.” Another example of a “network group” may be a cluster configuration entity that includes many nodes within a particular cluster. In this case, a particular node may only require control information in the form of a cluster ID, and common configuration information. It is not necessary for the node to be aware of other nodes in the cluster. In this case, example of the present disclosure may be performed to eliminate members that are irrelevant to the node to reduce, if not minimize, the control information required. In the following, various examples will be discussed using
Flattening and Translation
At 410, 420 and 430 in
Any suitable approach may be used for group flattening. For example, block 420 may involve a bottom-to-top graph traversal to identify a child group (e.g., NSG5225) based on the group topology information, and iteratively merge the child group with each of its parent group(s) until the topmost parent group is reached. Alternatively or additionally, a top-to-bottom graph traversal may be performed to identify a topmost parent group (e.g., NSG2222 that has no parent), and iteratively merge the parent group with each of its child group(s) until the bottommost child group is reached. In both cases, the flattening process may be repeated until each child group is merged with their parent group(s). After flattening, there will be just one group node between each rule node and any number of logical switch port nodes.
Some examples will be discussed using
According to a second processing rule (see 430), SDN controller 160 may translate a particular member into a required type associated with a field of network configuration object 211/212. For example, RULE1211 is a firewall rule that is defined using a source (SRC) field that references NSG1221 and a destination (DST) field that references NSG2222. Further, an applied-to (AT) field references both NSG2222 and NSG3223.
For the SRC and DST fields, only IP/MAC address-type members of a group are applicable in order for a firewall engine to implement RULE1211, which involves matching source and destination address information in a packet with the address-type members. In the example in
In practice, other entity-type members of a group may be translated into their corresponding address information, provided their IP/MAC address binding is available. For example, members [LSP2, LSP3, LSP4] in NSG2222 (after merging with NSG5225) may be translated into [IP-LSP2, MAC-LSP2], [IP-LSP3, MAC-LSP3] and [IP-LSP4, MAC-LSP4], respectively. Similar translation may be performed for [LSP4, LSP5, LSP6] in NSG3223 and/or NSG4224 (after merging with NSG6226). These examples are not shown in
Reverse Group Topology Information
At 440 in
Referring first to 610 in
At 450 and 460 in
In the following, various examples will be discussed using
(a) Implementation of RULE1
For host-A 110A, SDN controller 160 may identify [LSP1] of NSG1221 to be relevant because LSP1141 is supported by host-A 110A. Since the AT field of RULE1211 does not reference any logical entity supported by host-A 110A, RULE1211 is not implemented by host-A 110A. As such, host-A 110A does not need to be aware of NSG1221, its address-type members [IP1, MAC1, IP4, MAC4] and associated RULE1211. In this case, SDN controller 160 may generate and send control information associated with [LSP1] to host-A 110A. See 690A in
For host-B 110B, SDN controller 160 may identify [LSP2] to be relevant because LSP2142 is supported by host-B 110B. Since RULE1211 is implemented by LSP2142 based on the AT field of RULE1211, host-B 110B requires control information associated with RULE1211, as well as address-type members of NSG1221 and NSG2222. As such, SDN controller 160 may generate and send control information associated with subset NSG1*=[IP1, MAC1, IP4, MAC4], and subset NSG2*=[IP2, MAC2] to host-B 110B, where NSG1* represents a subset of NSG1221 and NSG2* represents a subset of NSG2222. To facilitate implementation of RULE1211, the control information may also specify RULE1211 and LSP2→[NSG2] to notify host-B 110B that LSP2142 is a member of NSG2222, which is referenced by the AT field of RULE1211. See 690B in
For host-C 110C, SDN controller 160 may identify [LSP3] to be relevant because LSP3143 is supported by host-C 110C. Since RULE1211 is implemented by LSP3143 based on the AT field of RULE1211, host-C 110C also requires control information associated with RULE1211, as well as address-type members of NSG1221 and NSG2222. As such, SDN controller 160 may generate and send control information associated with subset NSG1*=[IP1, MAC1, IP4, MAC4], subset NSG2*=[IP2, MAC2] and RULE1211 to host-C 110C. The control information may also specify LSP3→[NSG2] to notify host-C 110C that LSP3143 is a member of NSG2222. See 690C in
(b) Implementation of Both RULE1 and PROFILE1
In the example in
At shown at 710 in
Using the example in
(c) Implementation of PROFILE1
Referring to
According to the above examples, it is not necessary to send a full set of control information to each and every host. The span of control information associated with RULE1211 includes host-B 110B, host-C 110C and host-D 110D (see 750 in
Host-Centric Group Topology Information
Referring to
At 490 in
Adaptive Delta Update
According to examples of the present disclosure, an improved approach may be performed to update topology-aware control information (e.g., 690A-F) in SDN environment 100. In more detail,
At 910 and 920 in
Using the example in
In contrast, in response to detecting an update to replace the first 600 LSPs [LSP1, . . . , LSP600] with [LSP1001, . . . , LSP1600], then a full update will be more efficient compared to a delta update. In this case, a delta update will result in 1200 members changes by first deleting [LSP1, . . . , LSP600] and then adding [LSP1001, . . . , LSP1600]). The delta update will be less efficient compared to a full update of replacing the entire group with [LSP601, . . . , LSP1600]. The selection between a delta update and a full update may be performed based on any suitable criterion or criteria.
Container Implementation
Although explained using VMs 131-136, it should be understood that public cloud environment 100 may include other virtual workloads, such as containers, etc. As used herein, the term “container” (also known as “container instance”) is used generally to describe an application that is encapsulated with all its dependencies (e.g., binaries, libraries, etc.). In the examples in
Computer System
The above examples can be implemented by hardware (including hardware logic circuitry), software or firmware or a combination thereof. The above examples may be implemented by any suitable computing device, computer system, etc. The computer system may include processor(s), memory unit(s) and physical NIC(s) that may communicate with each other via a communication bus, etc. The computer system may include a non-transitory computer-readable medium having stored thereon instructions or program code that, when executed by the processor, cause the processor to perform processes described herein with reference to
The techniques introduced above can be implemented in special-purpose hardwired circuitry, in software and/or firmware in conjunction with programmable circuitry, or in a combination thereof. Special-purpose hardwired circuitry may be in the form of, for example, one or more application-specific integrated circuits (ASICs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), and others. The term ‘processor’ is to be interpreted broadly to include a processing unit, ASIC, logic unit, or programmable gate array etc.
The foregoing detailed description has set forth various embodiments of the devices and/or processes via the use of block diagrams, flowcharts, and/or examples. Insofar as such block diagrams, flowcharts, and/or examples contain one or more functions and/or operations, it will be understood by those within the art that each function and/or operation within such block diagrams, flowcharts, or examples can be implemented, individually and/or collectively, by a wide range of hardware, software, firmware, or any combination thereof.
Those skilled in the art will recognize that some aspects of the embodiments disclosed herein, in whole or in part, can be equivalently implemented in integrated circuits, as one or more computer programs running on one or more computers (e.g., as one or more programs running on one or more computing systems), as one or more programs running on one or more processors (e.g., as one or more programs running on one or more microprocessors), as firmware, or as virtually any combination thereof, and that designing the circuitry and/or writing the code for the software and or firmware would be well within the skill of one of skill in the art in light of this disclosure.
Software and/or to implement the techniques introduced here may be stored on a non-transitory computer-readable storage medium and may be executed by one or more general-purpose or special-purpose programmable microprocessors. A “computer-readable storage medium”, as the term is used herein, includes any mechanism that provides (i.e., stores and/or transmits) information in a form accessible by a machine (e.g., a computer, network device, personal digital assistant (PDA), mobile device, manufacturing tool, any device with a set of one or more processors, etc.). A computer-readable storage medium may include recordable/non recordable media (e.g., read-only memory (ROM), random access memory (RAM), magnetic disk or optical storage media, flash memory devices, etc.).
The drawings are only illustrations of an example, wherein the units or procedure shown in the drawings are not necessarily essential for implementing the present disclosure. Those skilled in the art will understand that the units in the device in the examples can be arranged in the device in the examples as described, or can be alternatively located in one or more devices different from that in the examples. The units in the examples described can be combined into one module or further divided into a plurality of sub-units.
Number | Date | Country | Kind |
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PCT/CN2019/070977 | Jan 2019 | CN | national |
The present application (Attorney Docket No. E826) claims the benefit of Patent Cooperation Treaty (PCT) Application No. PCT/CN2019/070977, filed Jan. 9, 2019, which is incorporated herein by reference.