Paper Info
Title
A Runtime Reputation Based Grid Resource Selection Algorithm on the Open Science Grid
Abstract
The scheduling and execution for grid application is an important problem in the grid environment. To get the high reliability and efficiency, we propose a runtime reputation based grid resource selection algorithm. According to the accumulated raw score, the runtime reputation degree for a grid resource is quantified as an evaluating score in the runtime of an application. Instead of being dependent on the historical experiences, it is dynamically adaptive to the runtime availability, load, and performance of the grid resources. The execution framework on the grid is based on Globus Toolkit and Swift system. In a real production grid, Open Science Grid (OSG), a typical grid application with large scale independent jobs was experimented, which was based on BLAST application. The experimental results for the performance of different policies are presented, with a benchmarking workload size of 10,000 jobs. The runtime reputation and behavior statistics for the grid resources are also presented.
Year
DOI
Venue
2009
10.1109/ICPADS.2009.125
ICPADS
Keywords
Field
DocType
grid application,blast application,open science grid,globus toolkit,grid resource selection algorithm,grid scheduling,grid computing,runtime reputation,production grid,real production grid,osg,runtime availability,grid resource,grid environment,accumulated raw score,resource selection,swift system,runtime reputation degree,typical grid application,benchmarking workload,scheduling,reliability,throughput,data mining
DRMAA,Grid computing,Scheduling (computing),Computer science,Selection algorithm,Real-time computing,Throughput,Benchmarking,Grid,Reputation,Distributed computing
Conference
ISSN
ISBN
Citations 
1521-9097
978-1-4244-5788-5
1
PageRank 
References 
Authors
0.36
5
5
Name
Order
Citations
PageRank
Zheng-xiong Hou1225.88
Xingshe Zhou21621136.85
Mike Wilde335122.09
Jianhua Gu433022.83
Mihael Hategan557332.86