Authors: Li Chunlin, Li FangYun, Li Layuan
Addresses: Department of Computer Science, Wuhan University of Technology, Wuhan 430063, PR China. ' Department of Computer Science, Wuhan University of Technology, Wuhan 430063, PR China. ' Department of Computer Science, Wuhan University of Technology, Wuhan 430063, PR China
Abstract: 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.
Keywords: grid resource scheduling; energy efficiency; computational complexity; energy-aware scheduling; energy-aware resource management; utility optimisation; energy consumption; battery lifetime; grid system utility; pricing variables.
International Journal of Computer Applications in Technology, 2010 Vol.37 No.1, pp.39 - 47
Published online: 08 Feb 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article