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| Content Provider | ACM Digital Library |
|---|---|
| Author | Zhu, Qiao-ming Gong, Zhengxian Li, Pei-feng Xu, Lan |
| Abstract | Currently, there are many researches focusing on grid scheduling and more and more scheduling algorithms were proposed. However, those algorithms are not satisfied with the requirement of the grid for ignoring its characteristics of dynamics, autonomy, distributing, etc. Therefore, this paper proposes an adaptable dynamic job scheduling approach based on historical information (ADJSA). This approach adjusts the predicting model automatically by using the recent jobs execution historical information and then selects the appropriate resource to execute the job considering dynamic and real-time factors of the Grid. |
| Starting Page | 1 |
| Ending Page | 2 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781595937575 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-06-06 |
| Publisher Place | Brussels |
| Access Restriction | Subscribed |
| Subject Keyword | Historical information Job scheduling Grid computing Adaptation |
| Content Type | Text |
| Resource Type | Article |
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