Dynamic Mapping in Energy Constrained Heterogeneous Computing Systems
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Adjusted fair scheduling and non-linear workload prediction for QoS guarantees in grid computing
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Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters
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Energy efficient configuration for qos in reliable parallel servers
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Grid resource scheduling algorithm based on dynamic price-adjusting strategy
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An efficient energy and schedule length model for multiprocessor computers
International Journal of Computer Applications in Technology
An optimal energy and power model for dynamic voltage scaled multiprocessor systems
International Journal of Business Information Systems
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Energy efficiency for high-performance computing and communication systems has recently become an important concern, but most current grid environments do not implement energy-aware resource management. This paper proposes an energy-aware grid resource scheduling scheme. Energy-aware grid resource scheduling optimisation is formulated as utility optimisation. The goal of the paper is not only to reduce energy consumption, but also to improve the system utility in the grid environment, ensuring the battery lifetime and the deadlines of the grid applications. To reduce the computational complexity, we decompose the energy-aware grid resource scheduling optimisation problem into two sub-problems; the interaction between the two sub-problems is controlled through the use of the pricing variable. The paper proposes an energy-aware grid resource scheduling optimisation algorithm. The performance evaluation of the algorithm is conducted by comparing with other related algorithms.