The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 01, 2006

Filed:

Aug. 01, 2002
Applicants:

Prajakta Suresh Joshi, Santa Clara, CA (US);

Sunanda Lakshmi Kommula, San Jose, CA (US);

Inventors:

Prajakta Suresh Joshi, Santa Clara, CA (US);

Sunanda Lakshmi Kommula, San Jose, CA (US);

Assignee:

Foundry Networks, Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/46 (2006.01); G06F 15/16 (2006.01); G06F 15/173 (2006.01); G06F 3/00 (2006.01); G06F 13/24 (2006.01); G06F 13/36 (2006.01);
U.S. Cl.
CPC ...
Abstract

Server load-balancing operation-related data, such as data associated with a system configured for global server load balancing (GSLB) that orders IP addresses into a list based on a set of performance metrics, is tracked. Such operation-related data includes inbound source IP addresses (e.g., the address of the originator of a DNS request), the requested host and zone, identification of the selected 'best' IP addresses resulting from application of a GSLB algorithm and the selection metric used to decide on an IP address as the 'best' one. Furthermore, the data includes a count of the selected “best” IP addresses selected via application of the GSLB algorithm, and for each of these IP addresses, the list of deciding performance metrics, along with a count of the number of times each of these metrics in the list was used as a deciding factor in selection of this IP address as the best one. This tracking feature allows better understanding of GSLB policy decisions (such as those associated with performance, maintenance, and troubleshooting) and intelligent deployment of large-scale resilient GSLB networks.

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