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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei Wang Bin-Xing Fang |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Comput. Sci., Harbin Inst. of Technol., China (Wei Wang; Bin-Xing Fang) |
| Abstract | A program's behavior is always tightly related with the computing environment where it runs, especially for parallel programs running in grid. Debugging tries to locate the reason for incorrect program behavior by analyzing the states, which happen during a program's execution. In order to allow cyclic debugging, re-execution mechanisms are used most frequently. The dynamic characteristics of grid will hinder re-execution to work, because the behavior of a program will be various according to the current configuration of execution environment. By modeling grid environments with graphics, this paper proposes the metric to evaluate the similarity between grid applications execution environments. The GA based resource selection algorithm is presented to construct similar execution environments in grids. A serial of experiments shows that the similarity metrics is appropriate. |
| Sponsorship | IEEE Syst., Man and Cybernetics Tech. Comm. on Cybernetics, Hong Kong Polytechnic Univ. Hebei Univ. South China Univ. Chongqing Univ. Sun Yat-sen Univ. Harbin Inst. of Technol. and Int. Univ. in Germany |
| Starting Page | 3007 |
| Ending Page | 3012 |
| File Size | 342431 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780390911 |
| DOI | 10.1109/ICMLC.2005.1527458 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Debugging Grid computing Machine learning algorithms Concurrent computing Graphics Resource management Software testing Costs Runtime Distributed computing genetic algorithm Grid parallel debugging computing environment resource management similarity metric |
| Content Type | Text |
| Resource Type | Article |
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