DocumentCode
2364600
Title
Job Schedule Model Based on Grid Environment
Author
Chen, Wuu-Yee ; Lee, Tsang-Yean ; Kuo, Nai-Wen ; Mei, Yuan-Hwa ; Chen, Shan-Kai ; Yan, Yu-Chen
Author_Institution
Dept. of Inf. Manage., Chinese Culture Univ., Taipei, Taiwan
fYear
2009
fDate
25-27 Aug. 2009
Firstpage
538
Lastpage
543
Abstract
Grid computing architecture was defined to be a complete physical layer. The functions of information systems based on grid architecture are resources sharing, collaborative processing, etc. System performance is calculated from resource usages of all grid nodes. If we have load-balancing in all grid nodes, we will have good performance in the system. All the grid nodes are divided to supervisor, supervisor backup and execute grid nodes. Each grid node has computing cost level to charge each running job. Transfer jobs from high CPU utilization grid nodes to low utilization grid nodes through supervisor scheduling, the system performance will be better. In this paper, we propose a job schedule model (JSM) base on grid environment. By this model, we can make all grid nodes be loading balance. When the load of the node is high, it sends the request to the supervisor and it selects the most suitable node to execute. Via implementing this model, we can improve the performance of grid environment efficiently.
Keywords
grid computing; resource allocation; scheduling; CPU utilization; collaborative processing; grid computing architecture; information systems; job schedule model; load-balancing; physical layer; resource sharing; supervisor backup grid nodes; supervisor scheduling; system performance; Collaboration; Computer architecture; Grid computing; Information analysis; Information management; Physical layer; Physics computing; Processor scheduling; Resource management; System performance; grid computing; load-balancing; supervisor schedule;
fLanguage
English
Publisher
ieee
Conference_Titel
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-5209-5
Electronic_ISBN
978-0-7695-3769-6
Type
conf
DOI
10.1109/NCM.2009.43
Filename
5331662
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