Microsoft Technology Licensing, LLC

Bernard Aboda

Amer A Hassan

Pradeep Bahl

Kun Tan

Jiansong Zhang

Arnold S Miller

Feng Sun

A computing device configured for wireless communication may effectively control adaptation to channel conditions. The device may be configured to identify and classify conditions impacting performance of a channel so that appropriate adaptations may be made. Interference may be detected by correlating received signal strength and packet errors. High received signal strength correlated to a high packet error rate may signify presence of a source of interference. Once a source of interference is detected, other criteria may be used to determine the nature of the interference so that an adaptation that is minimally disruptive of applications can be selected. Additionally, channel degradation may be predicted by monitoring trends in error rates, including Forward Error Correction rates, and adaptation may be used before packet error rates exceed an unacceptable level.

Interference detection

Presented is a system and a method for load balancing multiple globally-dispersed servers based on client-centric performance criteria. The infrastructure of the system includes load balancing domain name servers (DNS-LBs) deployed in close physical proximity to the Internet service providers' points of presence. The DNS-LBs are then able to monitor the performance of the servers from a location close to the clients, which allows the DNS-LBs to select a server that will yield the best performance from that location for the client. A second level of the infrastructure utilizes domain name servers (DNS-Bs) that are deployed on the Internet backbones and regional provides. The authoritative domain name servers (DNS-As) for the servers to be load balanced refer all name queries to these DNS-Bs. The DNS-Bs then refer the queries to one of the DNS-LBs based on a mapping of the DNS-ISP address to its physically proximate DNS-LB. The DNS-LB then returns the IP address of the server that will provide the best performance from that location.

System and method for performing client-centric load balancing of multiple globally-dispersed servers

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Bellevue, WA, United States of America

Bernard Aboda