Dynamic Load balancing for I/O- and Memory-Intensive workload in Clusters using a Feedback Control Mechanism. Xiao Qin, Hong Jiang, Yifeng Zhu, and David R. Swanson. In Proceedings of the 9th International Euro-Par Conference on Parallel Processing (Euro-Par 2003), pp. 224-229. Klagenfurt, Austria, Aug. 26- 29, 2003.
Abstract
One common assumption of the existing models of load balancing is that the weights of resources and I/O buffer size are statically configured. Though the static configuration of these parameters performs well in a cluster where the workload can be predicted, its performance is poor in dynamic systems where the workload is unknown. In this paper, a new feedback control mechanism is proposed to improve the overall performance of a cluster with I/O-intensive and memory-intensive workload. The mechanism dynamically adjusts the resource weights as well as the I/O buffer size. Results from a trace-driven simulation show that this mechanism is effective in enhancing the performance of a number of existing load-balancing schemes.
BibTeX Entry
	@inproceedings{yzhu:europar, author = "Xiao Qin and Hong Jiang and Yifeng Zhu and David Swanson", title = "Dynamic Load balancing for {I/O}- and Memory-Intensive workload in Clusters using a Feedback Control Mechanism", booktitle = "Proceedings of the 9th International {Euro-Par} Conference on Parallel Processing ({Euro-Par} 2003)", location = "Klagenfurt, Austria", year = "2003", month = aug, pages = "224--229" }
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Last modified on October 16, 2003