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Energy-Aware Grid Scheduling of Independent Tasks and Highly Distributed Data
2013
2013 11th International Conference on Frontiers of Information Technology
Data-aware scheduling in today's large-scale computing systems has become a major complex research issue. This problem becomes even more challenging when data is stored and accessed from many highly distributed servers and energy-efficiency is treated as a main scheduling objective. In this paper we approach the independent batch scheduling in grid environment as a bi-objective minimization problem with makespan and energy consumption as the scheduling criteria. We used the Dynamic Voltage and
doi:10.1109/fit.2013.46
dblp:conf/fit/KolodziejSMMMK13
fatcat:mtejwguslrd3lacvd3tozb7vsy