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22nd International Conference on Advanced Information Networking and Applications (aina 2008)
Long-Term CPU Load Prediction System for Scheduling of Distributed Processes and its Implementation
March 25-March 28
ISBN: 978-0-7695-3095-6
There exist distributed processing environments composed of many heterogeneous computers. It is required to schedule distributed parallel processes in an appropriate manner.For the scheduling, prediction of execution load of a process is effective to exploit resources of environments. We propose long-term load prediction methods with references of properties of processes and of runtime predictions. Since an appropriate prediction method is different according to the situation, we propose a prediction module selection to select an appropriate prediction method according to a state of changing CPU load using a neural network. We also discuss about the implementation of a long-term CPU load prediction system, which provides information including prediction of load for schedulers, system administrators and users.
Index Terms:
Long-Term CPU load prediction, runtime prediction, load balancing
Citation:
Yoshihiro Sugaya, Hiroshi Tatsumi, Mitiharu Kobayashi, Hirotomo Aso, "Long-Term CPU Load Prediction System for Scheduling of Distributed Processes and its Implementation," aina, pp.971-977, 22nd International Conference on Advanced Information Networking and Applications (aina 2008), 2008
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