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Discovering Piecewise Linear Models of Grid Workload
2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Despite extensive research focused on enabling QoS for grid users through economic and intelligent resource provisioning, no consensus has emerged on the most promising strategies. On top of intrinsically challenging problems, the complexity and size of data has so far drastically limited the number of comparative experiments. An alternative to experimenting on real, large, and complex data, is to look for well-founded and parsimonious representations. This study is based on exhaustivedoi:10.1109/ccgrid.2010.69 dblp:conf/ccgrid/EltetoGBS10 fatcat:7bkql5rse5b3feqna42t3s3ruq