Extreme Networks, Inc.

Liang Liu

Wei W Wang

Miguel Gomez

Kiet Tuan Tran

Ricky K Lowe

Erik De La Iglesia

Hui Zhang

Mark Aaron Wallace

Ratinder Paul Singh Ahuja

Susan Elizabeth Carrie

Rahoul Puri

Rick Lowe

Chien C Chou

Todd E Wayne

Systems and methods are described for analyzing the content of resource requests. A tokenizer parses the resource request and derives a key therefrom. A database associates values of the key with categories of service. An association engine uses the key to obtain one or more matching entries from the database, and derive therefrom the desired category of service for the resource request. A cookie engine derives cookie information from a cookie located in the resource request. A session engine derives session information from a session identifier located in a handshake message associated with the resource request. The desired category of service, the cookie information, and the session information are each useful for allocating a resource to the resource request.

Method of and system for analyzing the content of resource requests

Systems and related methods are described for handling one or more resource requests. A protocol engine receives a resource request in accordance with a prescribed protocol, and a classification engine determines a desired class of service for the request. An analysis engine optionally analyzes the request, and, responsive thereto, determines a desired sub-class of service for the request. A policy engine then allocates a resource to the request responsive to one or both of the desired class of service, and the desired sub-class of service.

Switching system

A system and method of allocating a resource to a service request. Servers are virtually assigned through a hierarchy including groups of servers and super groups of the groups of servers. Each service request type is associated with a service index that determines both a super group and a load balancing policy for that service request type. A load balancing policy may be applied to select a group of servers among several server groups associated with the super group. Another load balancing policy is applied to the selected group of servers to select a server to handle the service request. The hierarchical data structure allows servers to be configured into overlappable, arbitrary subsets that can address service requests matching configured content rules. Load balancing policies can be selected by service request type.

Method of and system for allocating resources to resource requests

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San Jose, CA, United States of America

Liang Liu