A 10 Networks, Incorporated

Cisco Technology, Inc.

Swaminathan Sankar

Rajkumar Ramniranjan Jalan

Gurudeep Kamat

Rahul Gupta

Hasnain Karampurwala

Rishi Sampat

Ali Golshan

Venky Natham

Arivu Mani Ramasamy

Giorgio Valentini

Gennady Dosovitsky

Zachary Seils

Carlos Lopez Rabadan

Jordi Juan Guillem

Deepak S Khanorkar

Zachary A Seils

Provided are methods and systems for dynamically distributing a service session from a client device. The method may commence with receiving a packet associated with the service session from the client device by a gateway node. The method may include determining that the packet matches a service address in a forwarding policy. The method may continue with selecting one of a plurality of forwarding nodes for sending the packet to the one of the plurality of forwarding nodes. The method may include receiving the packet of the service session by the one of the plurality of forwarding nodes. The method may continue with determining that the packet matches the service address serviced by a servicing node of a plurality of servicing nodes. The method may further include sending the packet to the servicing node for forwarding the packet to a server by the servicing node.

Distributing service sessions

Provided are methods and systems for eliminating a redirection of data traffic in a cluster. An example method may include receiving, by one or more nodes of the cluster, a data packet associated with a service session. The method may include determining, by the node, that the data packet is directed to a further node in the cluster. The method may further include, in response to the determination, acquiring, by the node, a session context associated with the service session. Acquiring the session context may include sending, by the node, a request for the session context to the further node and receiving the session context from the further node. The method may further include processing, by the one or more nodes, the data packet based on the session context.

Eliminating data traffic redirection in scalable clusters

Exemplary embodiments for a distributed system for determining a server's health are disclosed. The systems and methods provide for a network controller to direct one or more servicing nodes to check the health of one or more servers, and report a health score to the network controller. The network controller may then calculate, update and maintain a health score for each server in the network from the various health scores reported to it from the servicing nodes. This allows a distributed system to be used to facilitate network operations, as a single device is not relied on for periodically determining each server's health.

Distributed system to determine a server's health

Provided are methods and systems for graceful scaling of data networks. In one example, an indication of removal of a node from a plurality of nodes of the data network is received. A service policy is generated to reassign service requests associated with the node to another node in the plurality of nodes. The service policy is then sent to each of the plurality of nodes of the data network. To scale out a data network, an indication of presence of a further node in the data network is received, and a further node service policy is generated and sent to each of the plurality of nodes of the data network and to the further node. Additional actions can be taken in order to prevent interruption of an existing heavy-duty connection while scaling the data network.

Graceful scaling in software driven networks

Provided are methods and systems for load distribution in a data network. A method for load distribution in the data network comprises retrieving network data associated with the data network and service node data associated with one or more service nodes. The method further comprises analyzing the retrieved network data and service node data. Based on the analysis, a service policy is generated. Upon receiving one or more service requests, the one or more service requests are distributed among the service nodes according to the service policy.

Load distribution in data networks

Provided are methods and systems for enabling a planned upgrade or a planned downgrade of a first network device. A method may commence with receiving a request for a virtual service via a Transmission Control Protocol (TCP) session between the first network device and the client device. The method may further include creating, by a second network device being a standby device for the first network device, a redirect network session for the TCP session. The method may continue with delivering, by the first network device, the request for the virtual service to a server. Upon a change designating the second network device as an active device for the virtual service, the second network device may receive, from the server, a server response associated with the virtual service and redirect the server response to the first network device for further sending of the server response to the client device.

Enabling planned upgrade/downgrade of network devices without impacting network sessions

Described herein are methods and systems for application aware fastpath processing over a data network. In some examples, application fastpath operates to facilitate application specific fastpath processing of data packets transferred between a client device and a server device over a network session of a data network.

Application aware systems and methods to process user loadable network applications

Facilitation of processing a chain of network applications by a network controller is provided herein. In some examples, a network controller comprising a fast path module receives a service request data packet from a client side session between a client and the network controller and determines that the service request data packet matches a network application chain order, the network application chain order indicating a configuration to apply a plurality of network applications. The fast path module processes the service request data packet according to the configuration indicated in the network application chain order.

System and method to process a chain of network applications

Exemplary embodiments for enabling planned network changes such as an upgrade or downgrade of a network device are disclosed. The systems and methods provide for planned upgrades and downgrades for network devices without impacting existing network sessions, by utilizing two network devices simultaneously, and creating a redirect network session for a predetermined period of time. In so doing, all network traffic may be gradually transferred to the second network device, until the sessions processed by the first network device time out. The first network device can then be taken offline for upgrade or downgrade, without any disruption to the network service or loss of network traffic.

Provided are methods and systems for distributing service sessions from a client device in a service data network. A packet of the service session is received by a forwarding node. The forwarding node determines whether the packet matches a service address associated with the service session. Responsive to the determining, a servicing node associated with the service address is selected based on a forwarding policy. The packet is sent to the selected servicing node. The servicing node determines whether the packet is a service request packet. A server is selected based on a service policy, wherein the server is configured to serve the service session. The packet is sent to the server. Before being received by a forwarding node, the packet is received by a gateway node. The gateway node determines whether the packet matches the service address and selects the forwarding node based on a notification.

Provided are methods and systems for implementing a distributed database in a data network. The method comprises receiving node data associated with one or more nodes of a plurality of nodes, updating the distributed database and replicating the distributed database to each of the plurality of nodes. The plurality of nodes comprises one or more cluster device, a cluster master, a traffic classification engine, a service node, and an orchestrator. The node data comprises node health, a number of total connections, node processing unit utilization, node memory status, destination server address, destination server capacity, destination server network connectivity, node dynamic state, node responsiveness. The distributed database comprises tables containing traffic map, node health information, traffic classification mapping, and service policy.

Distributed database in software driven networks

Provided are methods and systems for processing a data packet associated with a service session. The data packet directed to a first servicing node can be received by a forwarding node. The forwarding node can determine that the first servicing node is unavailable. Based on the determination, the forwarding node can select a second servicing node from a plurality of servicing nodes. The selection can be based on a high availability policy. The forwarding node can then send the data packet to the second servicing node.

Distributed high availability processing methods for service sessions

Methods and systems are provided for forwarding data packets in a service network using a service-based policy. A gateway node may receive data packets from a service session and send the data packets for a forwarding node. The forwarding node may match the service session data packet against a service address and forwarding policy, the forwarding policy being based on capabilities and service configurations of the servicing nodes in the service network. Forwarding node may then forward the service session data packet to a servicing node in accordance with the forwarding policy, and send the service session data packet to a server for processing.

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San Jose, CA, United States of America

Swaminathan Sankar