The Open Automation and Control Systems Journal

2014, 6 : 1742-1747
Published online 2014 December 31. DOI: 10.2174/1874444301406011742
Publisher ID: TOAUTOCJ-6-1742

The Optimization of Energy for Cloud Computing

Ji OuYang , Caichang Ding and Lu Dai
School of Computer Science, Yangtze University, Jingzhou, 434023, China.

ABSTRACT

The issues include:design and analysis of the key technology of resource allocation in cloud computing environment; combined with time span, load balancing and energy optimization; design of multi-objective optimization model for resource allocation and heuristic resource allocation algorithm; designing the experimental platform of resource allocation algorithm, energy optimization and performance analysis; obtain original achievements in scientific research ,for the resource allocation method based on immune algorithm and energy optimization in cloud computing to provide innovative ideas and scientific basis. This research has an important significance for further study on resource allocation and energy optimization in cloud computing environment.

Keywords:

Cloud computing, Load balancing, Resource allocation, Algorithm, Innovative, Performance.