Nicira, Inc.

Vmware, Inc.

Yashika Narang

Sami Boutros

Philip Kippen

Ankur Dubey

Pere Monclus

Dharma Rajan

Meenakshi Sundaram Selvaraj

Vinay Kumar Ganeshmal Jain

Chidambareswaran Raman

Mani Kancherla

Sharath Bhat

Dharmaraja Rajan

Ganesan Chandrashekhar

Yong Wang

Abhishek Goliya

Shadab Shah

Gang Xu

Vijayalaxmi Basavaraj

Xinghua Hu

For a multi-tenant environment, some embodiments of the invention provide a novel method for forwarding tenant traffic through a set of service machines to perform a set of service operations on the tenant traffic. In some embodiments, the method performs a classification operation on a data message flow of a tenant, in order to identify a set of service operations to perform on the data message flow. For some data message flows, the classification operation selects the identified set of service operations from several candidate sets of service operations that are viable service operation sets for similar data message flows of the tenant. In some embodiments, the classification operation is based on a set of attributes associated with the data message flow (e.g., five tuple identifier, i.e., protocol and source and destination ports and IP addresses).

Service operation chaining

Some embodiments provide a method for configuring an edge computing device to implement a logical router belonging to a logical network. The method configures a datapath executing on the edge computing device to use a first routing table associated with the logical router for processing data messages routed to the logical router. The method configures a routing protocol application executing on the edge computing device to (i) use the first routing table for exchanging routes with a network external to the logical network and (ii) use a second routing table for exchanging routes with other edge computing devices that implement the logical router.

Edge device implanting a logical network that spans across multiple routing tables

The technology disclosed herein enables a dynamic chain of service functions for processing network traffic. In a particular embodiment, a method includes, in a logical router for a logical network connecting service functions, receiving a network packet from a service function over the logical network after the network packet has been processed by the service function. The method further includes determining a new classification of the network packet and determining a next service function based on application of a service chain policy to the new classification. The method also includes directing the network packet to the next service function over the logical network.

Dynamic chain of service functions for processing network traffic

Edge device implementing a logical network that spans across multiple routing tables

The technology disclosed herein enables a dynamic chain of virtual service functions for processing network traffic in a virtual computing environment. In a particular embodiment, a method includes providing a service chain policy to a virtual routing element connecting the respective service functions and determining an initial classification of a network packet entering the dynamic service chain. The initial classification indicates at least a first service function in a sequence of the service functions for processing the network packet. The method further includes providing a service chain policy to a virtual routing element connecting the respective service functions. After the network packet has been processed by a one service function in the sequence and before the virtual routing element passes the network packet to a next service function in the sequence, the method provides applying the service chain policy to the network packet in the virtual routing element to determine the next service function and directing the network packet from the virtual routing element to the next service function. The process continues till the packet passes through all service functions till it reaches its destination.

Dynamic chain of service functions for processing network traffic in a virtual computing environment

Some embodiments provide a method for a first edge device in a first datacenter that implements a centralized routing component of a logical router that spans multiple datacenters and handles data traffic between a logical network implemented across the multiple datacenters and external networks. From a second edge device in a second datacenter, the method receives via routing protocol a route having a particular routing protocol tag. When the first datacenter is a primary datacenter for the logical router such that all data traffic between the logical network and the external networks is handled by one or more centralized routing components implemented at the first datacenter, the method uses the routing protocol tag to determine whether to advertise the received route to the external networks.

Route exchange between logical routers in different datacenters

Configuring edge device with multiple routing tables

For a set of gateway devices at the edge of a logical network, some embodiments provide a method for ensuring that data messages from an external network requiring a stateful service are received at an active gateway device. The method advertises the availability of a set of internet protocol (IP) addresses from standby gateway devices with a higher cost than the cost advertised by an active gateway device. In some embodiments, the advertisement is made using a border gateway protocol. Data messages may be unexpectedly received on a standby node despite the higher advertised cost. This could happen due to asymmetric network failures. The method determines if a stateful service is needed for the data messages received on standby node. Based on the determination, the method forwards the received data message to the active gateway device for the active gateway device to provide the stateful service.

Providing stateful services deployed in redundant gateways connected to asymmetric network

Methods, apparatus and articles of manufacture to use artificial intelligence to define encryption and security policies in a software defined data center are disclosed. Example apparatus include a language parser to parse a natural language statement into a policy statement that defines a distributed network encryption policy or a distributed network security policy. Example apparatus also include a comparator to compare the policy statement to a set of reference policy templates and a template configurer to select a first policy template from the set of reference policy templates in response to the comparator determining the first policy template corresponds to the policy statement. A policy distributor distributes a policy rule defined by the first policy template for enforcement at network nodes of a software defined data center. The policy rule is a distributed network encryption policy rule or a security policy rule.

Methods, apparatus and systems to use artificial intelligence to define encryption and security policies in a software defined data center

Growing community of inventors

Sunnyvale, CA, United States of America

Yashika Narang