DocumentCode
2511799
Title
ALR-MIN: A Replacement Strategy to Reduce Overhead during Dynamic Deployment of Applications in Grid
Author
Gang, Chen ; Wu, Yongwei ; Liu, Jia ; Fang, Rui ; Yang, Guangwen ; Zheng, Weimin
Author_Institution
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear
2009
fDate
25-27 Sept. 2009
Firstpage
325
Lastpage
332
Abstract
Many applications of existing grid systems are usually deployed on grid nodes in a static manner. Grid computing nodes with highly demanded applications deployed on are always busy; while the others are idle. If these applications could be dynamically deployed on idle nodes, the system performance would be greatly improved. However, the overhead (e.g., package download) caused by dynamic deployment in existing studies may be so much that the system performance is seriously degraded. It is because existing studies on dynamic deployment of applications do not exploit an application replacement strategy to deploy or undeploy applications. In this paper, we propose an application replacement strategy, the average latency ratio minimum (ALR-MIN) strategy. With this strategy, an application is either deployed or evicted, considering the minimum ALR of a node (NALR). A series of simulations have been performed and their results demonstrate that the ALR-MIN strategy results in 17% less relative delay-time of jobs than the well-known least recently used based (LRU-based) strategies with a typical setting.
Keywords
grid computing; application replacement strategy; average latency ratio minimum strategy; dynamic application deployment; grid computing nodes; overhead reduction; Application software; Computer science; Databases; Degradation; Delay; Embedded computing; Grid computing; Laboratories; Resource management; System performance; Dynamic deployment; Grid Computing; Replacement strategy; Resource management; System performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Scalable Computing and Communications; Eighth International Conference on Embedded Computing, 2009. SCALCOM-EMBEDDEDCOM'09. International Conference on
Conference_Location
Dalian
Print_ISBN
978-0-7695-3825-9
Type
conf
DOI
10.1109/EmbeddedCom-ScalCom.2009.65
Filename
5341633
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