DocumentCode :
1636526
Title :
Intelligent Message Scheduling in Application Oriented Networking Systems
Author :
Yao, Jingnan ; Ding, Jianxun Jason ; Bhuyan, Laxmi N.
Author_Institution :
Applic. Oriented Networking, Cisco Syst., San Jose, CA
fYear :
2008
Firstpage :
5641
Lastpage :
5645
Abstract :
Cisco Systems application oriented networking (AON) product is an important network element towards building next generation service oriented intelligent information network (IIN). AON processes application-level content and moves far beyond a conventional content-aware Web switch. It creates a novel content delivery platform and allows more sophisticated load balancing schemes to be deployed in a switch among back-end servers to reduce user-perceived response time. In this paper, we investigate different scheduling techniques for an AON system to maximize overall throughput and minimize latency per message for a heterogeneous server cluster consisting of different application servers. Based on a thorough evaluation of the three existing load balancing algorithms of AON, we propose a novel message type based service adaptive scheduling algorithm that makes AON more efficient and more intelligent. Systematic performance measurements, analyses, and comparisons are conducted to demonstrate the superiority of our intelligent message scheduling technique.
Keywords :
electronic messaging; intelligent networks; network servers; resource allocation; scheduling; Cisco Systems; application oriented networking systems; application-level content; back-end servers; heterogeneous server cluster; intelligent information network; intelligent message scheduling; load balancing schemes; user-perceived response time; Clustering algorithms; Delay; Intelligent networks; Intelligent structures; Load management; Network servers; Next generation networking; Scheduling algorithm; Switches; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
Type :
conf
DOI :
10.1109/ICC.2008.1057
Filename :
4534093
Link To Document :
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