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• W2534141344 abstract "Application processes like Web applications use not only CPU but also storages like HDD. In our previous studies, the algorithms to select a server in a cluster are proposed to energy-efficiently perform processes which use either CPU or storages. In this paper, we consider a more general type of process which does both the computation and accesses to storages. In this paper, we newly propose LEAG and GEAG algorithms to select servers to perform general processes in a cluster so that the total electric energy consumption of the servers can be reduced. We evaluate the LEAG and GEAG algorithms in terms of total electric energy consumption of the servers and average execution time of the processes. We show the electric energy consumed by servers can be reduced in the LEAG and GEAG algorithms." @default.
• W2534141344 created "2016-10-28" @default.
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• W2534141344 date "2016-10-22" @default.
• W2534141344 modified "2023-09-30" @default.
• W2534141344 title "Energy-aware Server Selection Algorithms for Storage and Computation Processes" @default.
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• W2534141344 doi "https://doi.org/10.1007/978-3-319-49106-6_5" @default.
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