Abstract: A method for self-monitored universal scaling of software network functions involves receiving, at a switch of a network, one or more batches of data units. The network further includes one or more network function (NF) instances of an NF service, and a scaling controller. The switch transmits first data units to an NF instance of the NF service during a first time period. A first distribution associated with the NF instance is updated using the first transmitted data units. Upon determining that the updated distribution has changed such that a first measure of the first distribution is outside of a first confidence interval threshold, the first distribution is reinitialized. The switch transmits second data units to the NF instance during a second time period. The reinitialized first distribution is updated using the second transmitted data units to produce a second distribution associated with the NF instance.

Abstract: A method for self-monitored universal scaling of software network functions involves receiving, at a switch of a network, one or more batches of data units. The network further includes one or more network function (NF) instances of an NF service, and a scaling controller. The switch transmits first data units to an NF instance of the NF service during a first time period. A first distribution associated with the NF instance is updated using the first transmitted data units. Upon determining that the updated distribution has changed such that a first measure of the first distribution is outside of a first confidence interval threshold, the first distribution is reinitialized. The switch transmits second data units to the NF instance during a second time period. The reinitialized first distribution is updated using the second transmitted data units to produce a second distribution associated with the NF instance.

Abstract: A method for universal scaling of software network functions involves receiving, at a switch of a network, a batch of data units during a first period. The network further includes one or more network function (NF) instances of an NF service, and a scaling controller. The switch transmits one or more units of data during the first period to an NF instance of the NF service. An estimated maximum safe data unit rate is determined for the NF instance, and a representative safe data unit rate is determined for the NF service. A total number of data units designated to be received by the NF service during the first period is determined, and a total number of NF instances of the NF service to be provisioned in the network is determined at the scaling controller using the estimated total number of data units and the representative safe data unit rate.

Abstract: A method for universal scaling of software network functions involves receiving, at a switch of a network, a batch of data units during a first period. The network further includes one or more network function (NF) instances of an NF service, and a scaling controller. The switch transmits one or more units of data during the first period to an NF instance of the NF service. An estimated maximum safe data unit rate is determined for the NF instance, and a representative safe data unit rate is determined for the NF service. A total number of data units designated to be received by the NF service during the first period is determined, and a total number of NF instances of the NF service to be provisioned in the network is determined at the scaling controller using the estimated total number of data units and the representative safe data unit rate.

Abstract: A method for universal scaling of software network functions involves receiving, at a switch of a network, a batch of data units during a first period. The network further includes one or more network function (NF) instances of an NF service, and a scaling controller. The switch transmits one or more units of data during the first period to an NF instance of the NF service. An estimated maximum safe data unit rate is determined for the NF instance, and a representative safe data unit rate is determined for the NF service. A total number of data units designated to be received by the NF service during the first period is determined, and a total number of NF instances of the NF service to be provisioned in the network is determined at the scaling controller using the estimated total number of data units and the representative safe data unit rate.

Abstract: Generally, this disclosure describes a scalable cluster router that includes a plurality of server-class computers interconnected together to form a router. Each server may be configured to independently schedule switching of packets to reduce the switch speed requirements on a per server basis. Each server may include a scheduler that independently load balances packet flows across servers of the cluster. Router capacity may be incrementally scaled by adding more servers, and router capacity may be increased by load balancing techniques within individual servers.

Abstract: Generally, this disclosure describes a scalable cluster router that includes a plurality of server-class computers interconnected together to form a router. Each server may be configured to independently schedule switching of packets to reduce the switch speed requirements on a per server basis. Each server may include a scheduler that independently load balances packet flows across servers of the cluster. Router capacity may be incrementally scaled by adding more servers, and router capacity may be increased by load balancing techniques within individual servers.

Abstract: The present application describes a compiler of a network packet classification programming language that generates code for processors such as an application processor and a processing engine. The programming language includes a variety of instructions including an instruction to declare a network protocol and an instruction to specify a rule and at least one action to perform if the rule applies. A processor executing instructions generated by the compiler assigns values based on instructions to declare a network protocol and applies the rule instructions to received packets. The programming language may also include other instructions such as an instruction to search a set of values and identify whether an encapsulated packet header is present in a packet.

Abstract: Described herein are techniques to perform reassembly of a Transmission Control Protocol (TCP) data stream from payloads of TCP segments of a bidirectional TCP connection between a first TCP end-point operating at a first network device and a second TCP end-point operating at a second network device.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.

Abstract: The present invention relates to a general-purpose programmable packet-processing platform for accelerating network infrastructure applications which have been structured so as to separate the stages of classification and action. Network packet classification, execution of actions upon those packets, management of buffer flow, encryption services, and management of Network Interface Controllers are accelerated through the use of a multiplicity of specialized modules. A language interface is defined for specifying both stateless and stateful classification of packets and to associate actions with classification results in order to efficiently utilize these specialized modules.