Title: Energy consumption and schedule length minimisation of multiprocessor systems using genetic algorithm
Authors: Paulraj Ranjith Kumar; Sankaran Palani
Addresses: Department of Electronics and Communication Engineering, K.S. Rangasamy College of Technology, Thokkavadi, Tiruchengode-637215, Tamilnadu, India ' Department of Electronics and Communication Engineering, Sudharsan Engineering College, Pudukkottai-622502, Tamilnadu, India
Abstract: Multiprocessors have emerged as a powerful computing means for running real-time applications, especially where a uniprocessor system would not be sufficient enough to execute all the tasks. The high performance and reliability of multiprocessors have made them a powerful computing resource. Such computing environment requires an efficient algorithm to determine when and on which processor a given task should be executed. This paper focuses the combinational optimisation problem, namely, the problem of minimising schedule length with energy consumption constraint and the problem of minimising energy consumption with schedule length constraint for independent parallel tasks on homogeneous and heterogeneous multiprocessor computers. These problems emphasise the trade-off between power and performance and are defined such that the power-performance product is optimised by fixing one factor and minimising the other and vice versa. The performance of the proposed algorithm with optimal solution is validated analytically and compared with genetic algorithm.
Keywords: dynamic voltage scaling; DVS; evolutionary algorithms; energy minimisation; scheduling; multiprocessors; energy consumption; schedule length; genetic algorithms.
International Journal of Business Information Systems, 2013 Vol.14 No.1, pp.21 - 40
Published online: 09 May 2014 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article