22nd International Conference on Advanced Information Networking and Applications (aina 2008) (2008)
Mar. 25, 2008 to Mar. 28, 2008
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2008.135
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.
Long-Term CPU load prediction, runtime prediction, load balancing
Y. Sugaya, M. Kobayashi, H. Tatsumi and H. Aso, "Long-Term CPU Load Prediction System for Scheduling of Distributed Processes and its Implementation," 22nd International Conference on Advanced Information Networking and Applications (aina 2008)(AINA), vol. 00, no. , pp. 971-977, 2008.