PROGRAMMABLE PACKET DATA PROCESSING SYSTEM

20220337533 · 2022-10-20

    Inventors

    Cpc classification

    International classification

    Abstract

    Embodiments of the present disclosure relate to software-defined networks, and particularly, but not exclusively to programmable packet data processing systems, methods and computer readable products for use therein.

    Claims

    1-20. (canceled)

    21. A system comprising a processor and a memory storing computer executable instructions that, when executed by the processor, cause the system to perform operations comprising: loading a packet processing component into the memory, the packet processing component comprising a plurality of packet processing nodes arranged in a graph structure, the plurality of packet processing nodes configured to process and forward packets of a communications network in accordance with the graph structure; receiving, via an application programming interface, a request to configure the packet processing component to perform a predefined packet processing function according to a predefined packet processing resource type of the graph structure; and in response to the request, reconfiguring, during run time, one or more packet processing nodes in the graph structure to perform the predefined packet processing function based on the predefined packet processing resource type; wherein the reconfigured packet processing nodes comprise one or more match-action classifiers which are arranged to apply one or more match-action rules in order to process a packet of the communications network.

    22. The system of claim 21, wherein the request is a first request, further comprising computer executable instructions that, when executed by the processor, cause the system to perform operations comprising: responsive to a second request to create a specified packet processing resource type, the second request received via the application programming interface, generating a plurality of third requests, each of the third requests being at least one of create, update or delete a respective packet processing node in the graph structure.

    23. The system of claim 21, wherein the match-action classifier is generated in accordance with a first resource type.

    24. The system of claim 23, wherein match-action data is associated with the match-action classifier created in accordance with the first resource type.

    25. The system of claim 24, wherein the match-action data comprises a unitary bitmask which is operable to extract the data bits.

    26. The system of claim 21, further comprising a match-action table in which the match-action rules of one of the match-action classifiers are stored as match-action table entries, further comprising computer executable instructions that, when executed by the processor, cause the system to perform operations comprising: responsive to one or more requests received via the application programming interface, reconfiguring the packet processing component by creating a match-action table entry in accordance with a resource type B.

    27. The system of claim 21, wherein the match-action classifiers are usable to perform one or more of: packet validation; packet modification; packet multiplexing; or packet demultiplexing.

    28. The system of claim 21, wherein the packet processing nodes comprise a user data packet classifier operable to apply the one or more match-action rules to forward a user data packet, and wherein the user data packet classifier is operable to receive packets sent along a no-match path of the user data packet classifier.

    29. The system of claim 21, further comprising computer executable instructions that, when executed by the processor, cause the system to perform operations comprising: generating output data based on a set of input parameters, the input parameters corresponding to the predefined packet processing resource type.

    30. The system of claim 29, wherein the set of input parameters are received as a definition document which defines correspondences between application resources exposed on the application programming interface and the packet processing nodes in the graph structure.

    31. The system of claim 29, wherein the output data comprises code which is compiled to generate a graph configuration component.

    32. The system of claim 31, wherein the output data comprises code which is interpreted to generate a graph configuration component.

    33. The system of claim 29, wherein the output data comprises data structures which are usable to control a generic graph configuration component.

    34. The system of claim 29, wherein the output data comprises an application programming interface specification which is used to generate an additional application programming interface for use with a graph configuration component.

    35. The system of claim 34, wherein the application programming interface specification comprises an OpenAPI specification.

    36. A method for reconfiguring a packet data processing system during run time in a communications network, the packet data processing system comprising a packet processing component and a graph configuration component, the method comprising: loading, by the packet data processing system, the packet processing component into a memory of the packet data processing system, the packet processing component comprising a plurality of packet processing nodes arranged in a graph structure, the plurality of packet processing nodes configured to process and forward packets of the communications network in accordance with the graph structure; receiving, by the graph configuration component via an application programming interface, a request to configure the packet processing component to perform a predefined packet processing function according to a predefined packet processing resource type of the graph structure; and in response to the request, reconfiguring, during run time by the graph configuration component, one or more packet processing nodes in the graph structure to perform the predefined packet processing function based on the predefined packet processing resource type; wherein the reconfigured packet processing nodes comprise one or more match-action classifiers which are arranged to apply one or more match-action rules in order to process a packet of the communications network.

    37. The method of claim 36, wherein the request is a first request, further comprising responsive to a second request to create a specified packet processing resource type, the second request received via the application programming interface, generating a plurality of third requests, each of the third requests being at least one of create, update or delete a respective packet processing node in the graph structure.

    38. The method of claim 36, wherein the match-action classifiers are usable to perform one or more of: packet validation; packet modification; packet multiplexing; or packet demultiplexing.

    39. A non-transitory computer-readable storage medium having computer-executable instructions stored thereupon which, when executed by one or more processors of a computing device, cause the computing device to: load a packet processing component comprising a plurality of packet processing nodes arranged in a graph structure, the plurality of packet processing nodes configured to process and forward packets of a communications network in accordance with the graph structure; receiving, via an application programming interface, a request to configure the packet processing component to perform a predefined packet processing function according to a predefined packet processing resource type of the graph structure; and in response to the request, reconfiguring, during run time, one or more packet processing nodes in the graph structure to perform the predefined packet processing function based on the predefined packet processing resource type; wherein the reconfigured packet processing nodes comprise one or more match-action classifiers which are arranged to apply one or more match-action rules in order to process a packet of the communications network.

    40. The non-transitory computer-readable storage medium of claim 39, wherein the request is a first request, further comprising responsive to a second request to create a specified packet processing resource type, the second request received via the application programming interface, generating a plurality of third requests, each of the third requests being at least one of create, update or delete a respective packet processing node in the graph structure.

    Description

    BRIEF DESCRIPTION OF THE DRAWINGS

    [0031] FIG. 1 is a schematic block diagram depicting a control plane and a data plane in a Software Defined Network (SDN);

    [0032] FIG. 2 is a schematic block diagram showing components of a known OpenFlow switch component forming part of the data plane of FIG. 1;

    [0033] FIG. 3 is a schematic block diagram showing a programmable packet data processing system according to an embodiment of the present disclosure;

    [0034] FIG. 4 is a schematic diagram depicting nodes of an exemplary packet processing graph generated in accordance with an embodiment of the present disclosure;

    [0035] FIG. 5 is a schematic block diagram showing a programmable packet data processing system according to an alternative implementation.

    [0036] In the Figures and accompanying description, parts and steps common between different embodiments are identified by the same reference numerals.

    DETAILED DESCRIPTION OF CERTAIN INVENTIVE EMBODIMENTS

    [0037] Embodiments described herein relate to a data-driven model for programming, and thus controlling, flows in the user planes. A flow may correspond to a network application, such as Skype™ or Netflix™ traffic. From the point of view of an individual component in the user plane, a flow is a sequence of packets that matches a specific set, or range, of header field values. The identification of a flow is packet-oriented, in the sense that it is a function of the values of header fields of the packets that constitute the flow. A flow may be identified by information from one or more header fields in a packet. The fields may be a tuple, for example a 5-tuple of information, which in the case of a UDP/IP packet or a TCP/IP packet may be made up of the protocol field (in the IP header), the source and destination IP addresses (again in the IP header) and source and destination ports if appropriate for the protocol (in the UDP or TCP header). A combination of flow entries on multiple switches and/or routers defines a flow, or service, that is bound to a specific path in a network and/or across networks.

    [0038] FIG. 3 shows a programmable packet data processing system 301 according to an embodiment of the present disclosure. The system 301 comprises a controller component 303, which is a control plane component that is processing application specific, and a packet processing component 305, which is a user plane component configured to process packets in accordance with the specific processing application, including receiving them from one or more network interfaces, modifying them as appropriate, and either discarding them or sending them to one more network interfaces for transmission. The packet processing component 305 executes in accordance with a packet processing graph 307, also referred to herein as a graph structure, which is a graph of packet processing nodes generally referred to as graph objects. Graph objects may be objects which form part of the structure of the graph such as the nodes (interfaces and classifiers) and edges (matches). Associated objects may be referenced from the graph to define specific actions (such as policers, rewrites, queues, action templates) associated with nodes and/or edges of the graph. These associated objects may be referred to as action objects.

    [0039] The packet processing nodes are arranged such that a first packet processing node, after processing a packet in a flow, forwards the packet to a selected second node in the packet processing graph 307 for further processing in accordance with the structure of the graph.

    [0040] Also shown in FIG. 3 is a graph configuration component, referred to herein as processing application API component 309, which is an application programming interface exposed on behalf of the packet processing component 305 for a particular processing application, such as a layer 2 switch, a layer 3 router, etc. The API provided by processing application API component 309 may be RESTful and is comprised of a set of operations to be performed on a set of application-specific resources, such as interfaces, switch forwarding tables and forwarding entries, or routing tables and individual routes. Application resources typically have a set of configuration parameters which are unique for each instance of the resource, and the operations that can be performed may include create, read, update and/or delete (“CRUD”). As shown, the controller component 303 sends application resource requests, specifying the above-mentioned operations to be performed by the processing application API component 309 via data connection 311. The processing application API component 309 in turn sends graph object and action object requests to the packet processing component 305 via data connection 313.

    [0041] When the operations requested by the controller component 303 are linked to resources, as they are in the processing application API component 309, the specifics of how the resource requests map to graph objects can be specified separately in a definition, stored in the form of, for example, a data file, shown in FIG. 3 as graph definition 315.

    [0042] The graph definition 315 comprises data describing the relationship between operations relating to application resources in the processing application API component 309 and operations relating to graph objects and action objects that implement those application resources. In particular, it defines how the graph objects should be created in the packet processing graph 307 for each instance of each application resource, and how the parameters on those graph objects correspond to configuration parameters on the application resources. A generator module, referred to herein as resource/graph builder 317, uses the graph definition 315 to generate code, which is compiled using standard compilation tools to create a set of resource CRUD modules (of which an exemplary set of three resource CRUD modules 319a, 319b, 319c are shown in FIG. 3) in the resource/graph API library 319. Each of the exemplary resource CRUD modules 319a, 319b, 319c relate to different resource types, for example resource type A, resource type B and resource type C respectively. The resource/graph API library 319 thus generated is programmed to perform at least one of create, read, update and/or delete the required graph objects in the packet processing graph 307, and the required associated action objects, for the particular processing application in response to corresponding create, read, update and/or delete application resource requests relating to a particular resource type (e.g. resource type A, resource type B, resource type C) issued by the controller component 303 to the processing application API component 309. The resource/graph API library 319 performs operations in relation to the required graph objects in the packet processing graph 307, and the required associated action objects, via the graph and action object API 321 of the packet processing component 305. Requests received from the controller component via the application programming interface to reconfigure the packet processing component by creating a match-action classifier in accordance with a resource type A in the set of predefined packet processing resource types. Such a created match-action classifier may be configured to perform one or more of:

    [0043] packet validation;

    [0044] packet modification;

    [0045] packet multiplexing; and

    [0046] packet demultiplexing.

    [0047] The resource/graph API library 319 may be responsive to one or more requests received from the controller component 303 to reconfigure the packet processing component 305 by associating match-action data with the match-action classifier created in accordance with a particular resource type, for example resource type A. The match-action data may comprise a unitary bitmask which is configurable to extract data bits from a plurality of different packet header fields of a packet being processed a match-action classifier node in the graph 307. The unitary bitmask may be configurable to extract data bits, not just from a plurality of header fields, but from a plurality of different packet headers, for example from a Layer 2 header and a Layer 3 header of the packet, to be processed in a single pass by a match-action classifier node.

    [0048] The graph definition 315 may optionally define control plane packet interfaces, allowing the controller component 303 to send and receive control packets to and from the user plane. In this case the packet data processing system 301 may include interface 316, which in one example is a Virtual Ethernet (vEth) interface.

    [0049] As noted above, the graph objects making up the packet processing graph 307 are associated with an application resource type, for example interface, switch forwarding table, switch forwarding entry, routing table, route. In effect, the graph structure 307 is configured as a set of graph fragments, each corresponding to an application resource instance, which is created, read, updated and deleted via a respective resource CRUD module in the resource/graph API library. This provides a more flexible and scalable environment within which to build data plane solutions than is possible with known programmable data plane technologies.

    [0050] FIG. 4 shows the packet processing graph 401 for an example processing application, which is a basic layer 2 switch which uses a host interface to manage broadcasts and flooding. The graph includes graph fragments corresponding to respective interface 403, switch 405 and fib-entry 407 resource types.

    [0051] A graph definition 315 can be specified in a graph definition file formatted according to a custom YAML schema. This schema is a human-readable data serialization language, and as an alternative, JSON, which is a subset of the JavaScript™ syntax, may be used. An exemplary graph definition 315 for the above-described layer 2 switch is as follows:

    TABLE-US-00001 resources:  switch:   config:   interface:   - name: flood-rx type: host   classifier:   - name: 12-fwd-rx params: dst_mac: headers: ethernet:  dst: dst_mac   match:   - classifier: 12-fwd-rx name: “*” actions: set:  $OUTPUT: flood-rx  interface:   config: binding: switch:   graph: interface: - name: phy type: phy binding: binding classifier: 12-fwd-rx - name: flood-tx type: host classifier: 12-flood-tx classifier: - name: 12-flood-tx headers: match: - classifier: 12-flood-tx name: “*” action:  set:   $OUTPUT: phy  fib_entry:   config: output: dst_mac:   graph: matches: - classifier: 12-fwd-rx name: “FIB {{ config/dst_mac }} => {{ output }}” match:  dst_mac: config/dst_mac action:  set:   $OUTPUT: “/interface/{{ output}}/interface/phy

    [0052] Note that the graph definition only includes some of the available parameters, relating to selected header fields for the specific processing application to be generated. The graph definition 315 is interpreted by the resource/graph builder 317 and output as compiled code to be executed as the resource/graph API library 319. Pseudo-code for elements of an exemplary resource/graph API library 319 for the above-described layer 2 switch, as defined by the given exemplary graph definition, is as follows:

    TABLE-US-00002 # switch resource API requests. create_switch_resource (self)  # Create the flood-rx host interface.  self.if_flood_rx = new GraphHostInterface(name=“flood-rx”)  # Create the 12-fwd-rx classifier.  mask = new EthernetMask( ).add_dst_field( ).build( )  self.classifier_12_fwd_rx - new GraphClassifier(name-“12-fwd-rx”,  mask-mask)  # Add “*” match to 12-fwd-rx classifier.  actions = [new GraphActionSet(“$OUTPUT”, self.if_flood_rx)]  self.classifier_12_fwd_rx.add_match(name=“*”, match=None,  actions=actions) # interface resource API requests. create_interface_resource(self, switch, binding)  # Create the phy interface and bind it.  self.if_phy = new GraphPhyInterface(name=“phy”, binding=binding)  # Create the flood-tx interface.  self.if_flood_tx = new GraphHostInterface(name=“flood-tx”)  # Create the 12-flood-tx classifier.  self.classifier_12_flood_tx - new GraphClassifier(name-“12-flood-tx”,  mask-None)  # Add “*” match to 12-flood-tx classifier.  actions = [new GraphActionSet(“$OUTPUT”, self.if_phy)]  self.classifier_12_flood_tx.add_match(name=“*”, match=None,  actions=actions)  # Bind 12-fwd-rx classifier to phy interface.  self.if_phy.bind_classifier(self.classifier_12_fwd_rx)  # Bind 12-flood-tx classifier to flood interface.  self.if_flood.bind_classifier(switch.classifier_12_flood_tx) # fib_entry resource API requests create_fib_entry_resource(self, switch, output, dst_mac)  # Create a match in the 12-fwd-rx classifier.  actions = [new GraphActionSet(“$OUTPUT”, output.if_phy)]  switch.classifier_12_fwd_rx.add_match(name=“FIB ” + dst_mac +  “ => ” + output,   match={dst_mac=dst_mac},   actions=actions)

    [0053] When executed, the resource/graph API library 319 generates the graph structure of FIG. 4 by making the appropriate requests to the graph and action object API, to generate the packet processing graph 307 in the packet processing component 305. As can be seen, in this example the packet processing graph 307 comprises classifier object 413.sub.1,1 with companion match-action object 413.sub.1,2 both of which are associated with interface resource 403, and a classifier object 413.sub.2,1 with two companion match-action objects 413.sub.2,2, 413.sub.2,3, associated with switch resource 405 and fib-entry resource 407 respectively.

    [0054] The graph definition 315 may optionally define control plane packet interfaces, allowing the application controller component 303 to send and receive control plane packets to and from the user plane. These interfaces may be transported over Linux Virtual Ethernet (vEth) interfaces between the controller component 303 and the packet processing component 305. The controller component 303 may comprise a control plane packet processing function, and the packet processing graph nodes may comprise:

    [0055] a control protocol packet classifier which applies one or more rules to forward a control protocol packet; and

    [0056] a control plane interface for receiving the forwarded control protocol packet and for transmitting the forwarded control protocol packet to the controller component 303.

    [0057] The packet processing nodes may comprise a user data packet classifier which applies one or more match-action rules in order to forward a user data packet. The control protocol packet classifier may be arranged to receive packets sent along a no-match path of the user data packet classifier.

    [0058] In their respective API requests, the resources, and in turn the nodes in the graph structure 307, may be referenced by unique URIs, where: [0059] the URI of a resource may be the type of the resource followed by the name of the resource instance; [0060] the URI of a graph object in the graph structure may be the URI of the resource that created the object, followed by the object type, followed by the name of the object from the graph definition; [0061] the URI of a match object may be the URI of the classifier followed by the name of the match from the graph definition.

    [0062] The configuration and other attributes of each resource and each graph object may be accessible within the graph definition 315, also as URIs. For example: [0063] Configuration parameters may be accessible via a URI of the form <resource URI>/config/<parameter name> [0064] Graph object attributes may be accessible via a URI of the form <object URI>/<attribute name>

    [0065] It is to be noted that URI references can be absolute or relative; in the latter case the base URI is the URI of the resource.

    [0066] As described above, the graph objects making up the packet processing graph 307 may include objects which form the structure of the graph such as classifiers and interfaces (the nodes of the graph) and matches (the edges of the graph), and action objects referenced from the graph, such as rewrite objects, policer objects, and queue objects. Classifier objects may have a unique name, so they can be referenced by, and/or added to, different resources: this can be seen in the examples in FIG. 4, in which classifier node 413.sub.2,1, associated with switch resource 405, is referenced by match-action node 413.sub.2,3, associated with fib-entry resource 407. Classifier nodes can be defined as a stack of headers and fields of interest in those headers; header values may be specified by the classifier object itself (in which case all associated match objects implicitly inherit those values) or they may be bound to parameters of the classifier object, so that they can be specified separately for each match object.

    [0067] Nodes in the graph structure 307 (classifiers and interfaces) may be linked by the directed edges (matches) of the packet processing graph 307. As will be appreciated from the foregoing, each match object (e.g. 413.sub.1,2) originates at a classifier object (e.g. 413.sub.1,1). Match objects may point to another classifier object or may be a terminating match, in which case a packet is either dropped or output via an interface (e.g. 413.sub.1,2) as indicated in the packet metadata. Match objects may define a set of one or more actions to be performed on a packet in a flow, including simple or complex packet modifications, and adding or updating packet metadata. Some simple actions may be encoded directly in the match object; other actions may reference other objects, such as rewrite objects (for complex packet modifications) and policer objects or queue objects for traffic metering, policing and shaping.

    [0068] Interface objects are the ingress and/or egress points of packets into the packet processing graph 307. Packets received on an interface may be passed to a single root classifier bound to the interface. Packets may be output on the interface set in the special $OUTPUT packet metadata when there are no more classifiers to process the packet. Interface objects may be statically bound to physical or virtual ports, or may be dynamically created in the case of control plane interface.

    [0069] Rewrite objects may be referenced by match objects to perform complex packet manipulations such as adding headers or modifying header fields. Rewrite objects may be maintained as separate objects to allow multiple match objects to reference the same rewrite object when appropriate—both for efficiency and to allow for atomic updates to apply to multiple matches (for example, if multiple VLANs are multiplexed over a single tunnel, all the VLAN matches can reference the same tunnel rewrite object so the tunnel endpoint can be changed with a single operation).

    Non-Limiting Additional Implementation Details

    [0070] Although at least some aspects of the embodiments described herein with reference to the drawings comprise computer processes e.g. in the form of processing systems, agents or processors, the invention also extends to computer programs, particularly computer programs on or in a carrier, adapted for putting the invention into practice. The program may be in the form of non-transitory source code, object code, a code intermediate source and object code such as in partially compiled form, or in any other non-transitory form suitable for use in the implementation of processes according to the invention. The carrier may be any entity or device capable of carrying the program. For example, the carrier may comprise a storage medium, such as a solid-state drive (SSD) or other semiconductor-based RAM; a ROM, for example a CD ROM or a semiconductor ROM; a magnetic recording medium, for example a hard disk; optical memory devices in general; etc.

    [0071] It will be understood that the processor or processing system or circuitry referred to herein may in practice be provided by a single chip or integrated circuit or plural chips or integrated circuits, optionally provided as a chip set, an application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), digital signal processor (DSP), etc. The chip or chips may comprise circuitry (as well as possibly firmware) for embodying at least one or more of a data processor or processors, a digital signal processor or processors, baseband circuitry and radio frequency circuitry, which are configurable so as to operate in accordance with the exemplary embodiments. In this regard, the exemplary embodiments may be implemented at least in part by computer software stored in (non-transitory) memory and executable by the processor, or by hardware, or by a combination of tangibly stored software and hardware (and tangibly stored firmware).

    [0072] The graph data structure may be optimised using an approach as described in applicant's co-filed patent application entitled “Generating packet processing graphs”, filed on even date with the subject application, the contents of which are incorporated herein by reference. Many different kinds and structures of packet processing graphs may be implemented, including those examples described in applicant's co-filed patent application entitled “Packet processing graphs”, filed on even date with the subject application, the contents of which are incorporated herein by reference.

    [0073] The above embodiments are to be understood as illustrative examples of the invention. Further embodiments of the invention are envisaged.

    [0074] For example, in the embodiments described above the resource/graph builder 317 uses the graph definition 315 to create code which is then compiled to create the API library 319. In alternative embodiments, the resource/graph builder 317 may create code which is executed by an interpreter such as a Java Virtual Machine (JVM) or a Python interpreter. In other embodiments, the resource/graph builder 317 may emit intermediate data structures which are used by a generic resource/graph API library to create the processing application specific API at run time.

    [0075] In the embodiments described above the packet processing graph uses a data-driven match-action classifier graph to define the processing to be performed on each packet. As regards the classifier objects themselves, these can be implemented using match-action classifier objects from existing packet processing architectures such as VPP and Open vSwitch, or modified versions thereof.

    [0076] The matching logic utilised by the classifier nodes is preferably one of the following types: [0077] Exact match. Entries in a match-action table are searched for an exact match to selected parts of an incoming packet's header data, e.g. after a unitary bitmask associated with the classifier has been applied, to determine an action specified in the table entry. [0078] Range match. Entries in a match-action table specify a range of matches, e.g. a match based upon port range, to selected parts of an incoming packet's header data, e.g. after a unitary bitmask associated with the classifier has been applied, to determine an action specified in the table entry. [0079] Longest-prefix match. A match is identified from a e.g. a forwarding table. Each entry in the forwarding table may specify a sub-network, and one destination address may match more than one forwarding table entry. The most specific of the match-action table entries—the one with the longest subnet mask is called the longest prefix match. Match-action table entries specify prefixes with which to match selected parts of an incoming packet's header data, e.g. after a unitary bitmask associated with the classifier has been applied, to determine an action specified in the table entry. [0080] Bloom filter match. A probabilistic match based upon specified criteria; this can be advantageous if the number of potential matches is particularly large. Match-action table entries specify a criteria with which to match selected parts of an incoming packet's header data, e.g. after a unitary bitmask associated with the classifier has been applied, to determine an action specified in the table entry. [0081] Regular expression (“Regex”) match. Match-action table entries specify a regular expression match to selected parts of an incoming packet's header data, e.g. after a unitary bitmask associated with the classifier has been applied, to determine an action specified in the table entry.

    [0082] As noted above, associated objects may be referenced from the graph to define specific actions associated with nodes and/or edges of the graph. In addition to the examples listed above (policers, rewrites, queues, action templates), action objects can include any of those listed in conjunction with the actions=[action][,action . . . ] part of the Open vSwitch Manual, which is available at http://www.openvswitch.org/support/dist-docs/ovs-ofctl.8.txt. For ease of reference, these include e.g. controller actions (sends the packet and its metadata to the controller component 303 as a “packet in” message) and flood actions (outputs a packet on all switch physical ports other than the port on which the packet was received). It is to be understood that this is not an exhaustive list and that embodiments apply to other and indeed future actions.

    [0083] The packet processing component may be implemented using the known Data Plane Development Kit (DPDK), creating a high-performance programmable packet processing system in which graph objects corresponding to physical interface resources have a binding to the appropriate DPDK physical interfaces over which packets can be transmitted.

    [0084] Whilst the above examples describe a data-driven graph structure, alternative embodiments may use a different graph structure, such as a code-driven graph as used by systems such as VPP, Click Modular Router or Berkeley Extensible Software Switch (BESS) where the graph defines interconnections between a set of different code modules each of which is capable of performing certain operations on the packets.

    [0085] Also, in the examples described above, it is assumed that the user plane is to be used with a local control plane, such as may be the case when e.g. the controller component 303 runs on the same virtual machine as the packet processing component 305. FIG. 5 shows an alternative implementation of programmable packet data processing 501, one in which the controller component 303 is remote from the user plane. In this implementation a resource/graph builder 502 generates the following components: [0086] the resource/graph API library 319; [0087] an OpenAPI specification 503 for a RESTful HTTP API, which can be used by Swagger Codegen 504 to create an additional API, including HTTP client library 505 and an HTTP router 507, for use with the resource/graph API library 319; [0088] an HTTP server stub 509 which maps the stub interface expected by the HTTP Router 507 to the API exposed by the resource/graph API library 319.

    [0089] The graph definition 315 may define control plane packet interfaces to pass control plane packets between the user plane and the controller code. In this case, these packets may be carried over a packet network connection between the data plane component(s) and the control plane component(s) in an L2 tunnel 511 or alternative overlay network technology.

    [0090] Other implementations are possible, for example, embodiments can integrate with a packet processing function defined in an existing P4 Runtime control plane application. In this implementation, a P4 compiler may auto-generate a graph definition file that is to be used by the resource/graph builder 317. The compilation step also produces a P4 Runtime Server which interfaces directly to a resource/graph API library 319 generated by the resource/graph builder 317, allowing the existing P4 Runtime control plane application to control the user plane. As a further refinement, an optional traffic profile may be input to the P4 compiler, to configure the resource/graph API library 319 for improved performance in relation to an expected traffic pattern.

    [0091] It is to be understood that any feature described in relation to any one embodiment may be used alone, or in combination with other features described, and may also be used in combination with one or more features of any other of the embodiments, or any combination of any other of the embodiments. Furthermore, equivalents and modifications not described above may also be employed without departing from the scope of the invention, which is defined in the accompanying claims.