DocumentCode :
509158
Title :
An Optimal Mapping Algorithm Based on Balanced Load Cutting for DVE Systems
Author :
Zhang, Wei ; Min Xi ; Zhou, Hangjun ; Peng, Yuxing ; Li, Sikun
Author_Institution :
Nat. Lab. for Parallel & Distrib. Process., Nat. Univ. of Defense Technol., Changsha, China
Volume :
2
fYear :
2009
fDate :
21-22 Nov. 2009
Firstpage :
429
Lastpage :
432
Abstract :
In distributed virtual environment (DVE) systems, a distributed server infrastructure is often used to reduce the latency between servers and clients. Under this infrastructure, mapping clients to proper servers is one of the key issues for improving the interactivity and overall performance. Most traditional methods of mapping the clients to servers only consider the load balancing problem. However, there are two other important aspects that should be involved: the physical world integrity and the virtual world integrity. In this work, we propose a novel mapping algorithm which takes care of all three aspects at the same time. The algorithm converts the mapping problem into cutting stage and matching stage to get optimal result with polynomial complexity. The experimental results show that our algorithm improves the overall performance of DVE systems significantly.
Keywords :
client-server systems; resource allocation; balanced load cutting; distributed server infrastructure; distributed virtual environment; load balancing; optimal mapping algorithm; physical world integrity; polynomial complexity; virtual world integrity; Application software; Computer science; Delay; Distributed processing; Information technology; Load management; Network servers; Polynomials; Quality of service; Virtual environment; DVE systems; cutting algorithm; mapping algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
Type :
conf
DOI :
10.1109/IITA.2009.40
Filename :
5369529
Link To Document :
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