DocumentCode
3190119
Title
An adaptive generalized scheduler for grid applications
Author
Aggarwal, Akshai K. ; Kent, Robert D.
Author_Institution
Sch. of Comput. Sci., Windsor Univ., Ont., Canada
fYear
2005
fDate
15-18 May 2005
Firstpage
188
Lastpage
194
Abstract
The compute resources of a grid resource-service provider may be distributed over a wide geographical area. If the resource-service provider is to use his resources effectively, in addition to the characteristics of the compute-nodes and the applications, the characteristics of the communication network must also be known. A generalized scheduler should be able to handle a diverse set of jobs, with arbitrary inter-dependencies among processes and arbitrary communication channel delays. On a grid, the scheduling algorithm should respond quickly to the changing workload and environmental conditions without causing much overhead. Hence it should be able to customize its strategy in accordance with the prevailing conditions. In this paper, the algorithm for an adaptive scheduler, which can be used to map a set of jobs, of wide diversity, to a dynamic set of nodes, with prior reservations, is being presented. The scheduler has been tested extensively.
Keywords
bandwidth allocation; grid computing; middleware; processor scheduling; resource allocation; telecommunication channels; adaptive generalized scheduling algorithm; grid computing; grid resource-service provider; metacomputing; Adaptive scheduling; Communication channels; Communication networks; Computer applications; Computer networks; Delay; Distributed computing; Grid computing; Processor scheduling; Scheduling algorithm; Metacomputing; STG jobs; adaptive scheduling; communication channel delays; grid computing; link bandwidth; scheduling; task interdependencies;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing Systems and Applications, 2005. HPCS 2005. 19th International Symposium on
ISSN
1550-5243
Print_ISBN
0-7695-2343-9
Type
conf
DOI
10.1109/HPCS.2005.14
Filename
1430070
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