Abstract: A system and method for dynamically controlling a rogue application through incremental bandwidth restrictions is disclosed. A network connection supporting a flow of network traffic in a distributed computing environment is monitored. The network traffic flow includes a stream of data packets generated by a rogue application. Bandwidth allocated to the monitored network connection is incrementally adjusted until the flow of the network traffic for the rogue application achieves a steady state of bandwidth restriction. The flow of subsequent network traffic over the monitored network connection is controlled at the steady state of bandwidth restriction.

Abstract: Flow-aware task distribution in network devices having multiple processor architectures. In one embodiment, the present invention can be used for high bandwidth network processing in an application and flow aware Quality of Service (QoS) network device. In some implementations, the present invention provides a task distribution architecture capable of flow state awareness and link level QoS control. In some implementations, the present invention can incorporate one or more processes, such as flow distributors and device distributors, that route packets for processing among different processing units on the basis flow correspondence and/or link or network path attributes. The flow and device distributors, in one implementation, allow for the separation and paralletization of packet processing functionality into flow-specific and link-specific processing units, allowing for a highly-scalable, flow-aware task distribution in a network device that processes network application traffic.

Abstract: A system and method for dynamically identifying internal hosts in a heterogeneous computing environment with multiple subnetworks is disclosed. A plurality of packets are analyzed. Each such packet includes a source address of an originating host and a destination address of a receiving host. An unknown originating host located at the source address of an outbound packet is classified as an inside host with high confidence. An unknown receiving host located at the destination address of an inbound packet is classified as an inside host. The unknown receiving host is reclassified as an inside host with high confidence upon receiving a further outbound packet having a source address corresponding to the address of the unknown receiving host.

Abstract: A system and method for dynamically identifying internal hosts in a heterogeneous computing environment with multiple subnetworks is disclosed. A plurality of packets are analyzed. Each such packet includes a source address of an originating host and a destination address of a receiving host. An unknown originating host located at the source address of an outbound packet is classified as an inside host with high confidence. An unknown receiving host located at the destination address of an inbound packet is classified as an inside host. The unknown receiving host is reclassified as an inside host with high confidence upon receiving a further outbound packet having a source address corresponding to the address of the unknown receiving host.

Abstract: A system and method for dynamically identifying internal hosts in a heterogeneous computing environment with multiple subnetworks is disclosed. A plurality of packets are analyzed. Each such packet includes a source address of an originating host and a destination address of a receiving host. An unknown originating host located at the source address of an outbound packet is classified as an inside host with high confidence. An unknown receiving host located at the destination address of an inbound packet is classified as an inside host. The unknown receiving host is reclassified as an inside host with high confidence upon receiving a further outbound packet having a source address corresponding to the address of the unknown receiving host.