Survey of grid resource monitoring and prediction strategies.
Article
Hu, L., Cheng, X. and Che, X. 2010. Survey of grid resource monitoring and prediction strategies. International Journal of Intelligent Information Processing. 1 (2).
| Type | Article |
|---|---|
| Title | Survey of grid resource monitoring and prediction strategies. |
| Authors | Hu, L., Cheng, X. and Che, X. |
| Abstract | This literature focuses on grid resource monitoring and prediction, representative monitoring and prediction systems are analyzed and evaluated, then monitoring and prediction strategies for grid resources are summarized and discussed, recommendations are also given for building monitoring sensors and prediction models. During problem definition, one-step-ahead prediction is extended to multi-step-ahead prediction, which is then modeled with computational intelligence algorithms such as neural network and support vector regression. Numerical simulations are performed on benchmark data sets, while comparative results on accuracy and efficiency indicate that support vector regression models achieve superior performance. Our efforts can be utilized as direction for building online monitoring and prediction system for grid resources. |
| Research Group | Artificial Intelligence group |
| Publisher | Human and Sciences Publication |
| Journal | International Journal of Intelligent Information Processing |
| ISSN | 2093-1964 |
| Publication process dates | |
| Deposited | 26 Apr 2011 |
| Output status | Published |
| Publisher's version | |
| Copyright Statement | We acknowledge permission from IJIIP for hosting published work. (5/11) |
| Language | English |
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