A hybrid heuristic resource allocation model for computational grid for optimal energy usage

Achal Kaushik, Deo Prakash Vidyarthi
2018 International Journal of Grid and Utility Computing  
Computational grid helps in faster execution of compute intensive jobs. The resource allocation for the job execution in computational grid demands a lot of characteristic parameters to be optimised but in the process the green aspect is ignored. Reducing the energy consumption in computational grid is a major recent issue among researchers. The conventional systems, which offer energy efficient scheduling strategies, ignore other quality of service parameters while scheduling the jobs. The
more » ... osed work tries to optimise the energy for resource allocation and at the same time makes no compromise on other related characteristic parameters. A hybrid model, that uses genetic algorithm and graph theory concept has been proposed for this purpose. In this model, an energy saving mechanism is implemented using a dynamic threshold method followed by genetic algorithm to further consolidate the saving. Eventually, a graph theory concept of Minimum Spanning Tree (MST) is applied. The performance of the proposed model has been studied by its simulation. The result reveals the benefits achieved with the proposed model for optimal energy with resource allocation in the grid. Reference to this paper should be made as follows: Kaushik, A. and Vidyarthi, D.P. (2018) 'A hybrid heuristic resource allocation model for computational grid for optimal energy usage', Int. Sciences, JNU, New Delhi. He has published 90 research papers in various international journals and transactions (IEEE, Elsevier, Springer, Wiley, etc.) and around 45 research papers in proceedings of conferences. He has co-authored two books entitled Scheduling in Distributed Computing Systems: Design, Analysis and Models, Springer (USA) and another Technologies and Protocols for the Future Internet Design: Reinventing the Web, IGI-Global (USA). He is the senior member of IEEE, ISRST, IACSIT and IAENG. His research interests include parallel and distributed system, grid and cloud computing, mobile computing.
doi:10.1504/ijguc.2018.090228 fatcat:vionkabyanhg3ir7oc4seonz7a