DocumentCode :
2126534
Title :
Availability modeling of grid computing environments using SANs
Author :
Entezari-Maleki, Reza ; Movaghar, Ali
Author_Institution :
Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear :
2011
fDate :
15-17 Sept. 2011
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, the availability of the Resource Management System (RMS) and computational resources distributed within grid computing environments is studied. Since the RMS acts as a heart of the grid environments, the unavailability of this system can render the entire environment to the inoperable phase. Furthermore, the unavailability of the grid resources may result in degradation of the performance of the grid. Therefore, considering the great importance of the availability issue in grid computing environments, the Stochastic Activity Networks (SANs) are exploited to model and evaluate the availability of grid environments. The proposed SAN models the failure of the resource management servers and grid resources, filling the queues of the RMS and resources and the arriving of the local and grid tasks to the resources, appropriately. Our proposed model not only can evaluate the availability of the RMS and grid resources, but also can consider the impact of the task scheduling algorithms on the grid availability. Simulations done on the hypothesis grid environments show the applicability of the model to the real grids.
Keywords :
grid computing; resource allocation; scheduling; SAN models; availability modeling; computational resources; grid computing environments; grid resource unavailability; hypothesis grid environments; resource management servers; resource management system; stochastic activity networks; task scheduling algorithms; Availability; Computational modeling; Maintenance engineering; Resource management; Scheduling algorithm; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software, Telecommunications and Computer Networks (SoftCOM), 2011 19th International Conference on
Conference_Location :
Split
Print_ISBN :
978-1-4577-1439-9
Type :
conf
Filename :
6064363
Link To Document :
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