Liang P Liu

US Patent:

7321926, Jan 22, 2008

Filed:

Feb 11, 2002

Appl. No.:

10/074462

Inventors:

Hui Zhang - Cupertino CA, US
Erik de la Iglesia - Mountain View CA, US
Miguel Gomez - Fremont CA, US
Liang Liu - San Jose CA, US
Rick K. Lowe - Menlo Park CA, US
Mark Aaron Wallace - San Jose CA, US
Wei Wang - San Jose CA, US

Assignee:

Extreme Networks - Santa Clara CA

International Classification:

G06F 15/177
G06F 9/46
H04Q 7/20

US Classification:

709220, 455453, 718104, 718105

Abstract:

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.

US Patent:

7447777, Nov 4, 2008

Filed:

Feb 11, 2002

Appl. No.:

10/098957

Inventors:

Ratinder Paul Singh Ahuja - Saratoga CA, US
Susan Carrie - Mountain View CA, US
Chien C. Chou - San Jose CA, US
Erik De La Iglesia - Mountain View CA, US
Miguel Gomez - Fremont CA, US
Liang Liu - San Jose CA, US
Ricky K. Lowe - Atherton CA, US
Rahoul Puri - Los Altos CA, US
Kiet Tran - Saratoga CA, US
Mark Aaron Wallace - San Jose CA, US
Wei Wang - San Jose CA, US
Todd E. Wayne - Santa Cruz CA, US
Hui Zhang - Cupertino CA, US

Assignee:

Extreme Networks - Santa Clara CA

International Classification:

G06F 15/16

US Classification:

709227, 709228

Abstract:

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.

US Patent:

7814204, Oct 12, 2010

Filed:

Apr 1, 2002

Appl. No.:

10/115572

Inventors:

Wei Wang - San Jose CA, US
Miguel Gomez - Fremont CA, US
Liang Liu - San Jose CA, US
Ricky K. Lowe - Atherton CA, US
Kiet Tran - Saratoga CA, US

Assignee:

Extreme Networks, Inc. - Santa Clara CA

International Classification:

G06F 15/173
G06F 17/30

US Classification:

709226, 707781, 709227, 709229, 709238

Abstract:

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.

US Patent:

8412838, Apr 2, 2013

Filed:

Oct 26, 2007

Appl. No.:

11/925621

Inventors:

Wei Wang - San Jose CA, US
Miguel Gomez - Fremont CA, US
Liang Liu - San Jose CA, US
Ricky K. Lowe - Atherton CA, US
Kiet Tran - Saratoga CA, US

Assignee:

Extreme Networks - Santa Clara CA

International Classification:

G06F 15/16

US Classification:

709229, 709225, 709227, 713153, 726 5

Abstract:

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.