DocumentCode
1696127
Title
Comprehensive Analysis of Performance, Fault-Tolerance and Scalability in Grid Resource Management System
Author
Kong, Xiangzhen ; Huang, Jiwei ; Lin, Chuang
Author_Institution
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear
2009
Firstpage
83
Lastpage
90
Abstract
The management of the large scale heterogeneous resources is a critical issue in grid computing. The resource management system (RMS) is an essential component of grids. To ensure the QoS of the upper layer service, it raises high requirement for the performance, fault-tolerance and scalability of RMS. In this paper, we study three typical structures of RMS, including centralized, hierarchical and peer-to-peer structures, and make a comprehensive analysis of performance, fault tolerance and scalability. We put forward the performance, fault tolerance and scalability evaluation metrics of the RMS, and give the mathematical expressions and detailed calculation processes. Besides, we make further discussions on the interactions of the performance, fault-tolerance and scalability, and make a comparison of the RMSs with the three typical structures. We believe that the results of this work will help system architects make informed choices for building the RMS.
Keywords
fault tolerance; grid computing; peer-to-peer computing; quality of service; resource allocation; QoS; comprehensive analysis; fault-tolerance analysis; grid RMS; grid computing; large scale heterogeneous resource; peer-to-peer structure; performance analysis; quality-of-service; resource management system; scalability evaluation metrics; Computer networks; Distributed computing; Fault tolerance; Fault tolerant systems; Grid computing; Large-scale systems; Peer to peer computing; Performance analysis; Resource management; Scalability; Grid resource manegement system; fault-tolerance; performance; scalability;
fLanguage
English
Publisher
ieee
Conference_Titel
Grid and Cooperative Computing, 2009. GCC '09. Eighth International Conference on
Conference_Location
Lanzhou, Gansu
Print_ISBN
978-0-7695-3766-5
Type
conf
DOI
10.1109/GCC.2009.30
Filename
5280112
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