A Computing Capability Allocation Algorithm For Cloud Computing Environment

DOI

10.2991/iccsee.2013.566How to use a DOI?

Keywords

cloud computing, grid, ant colony optimization, recourse allocation, GridSim

Abstract

For several special features in the environment of cloud computing, which may be quite different from the centralized computing infrastructure currently available, the existed method of resource allocation used in the grid computing environment may not be suitable for these changes. In our paper, a new allocation algorithm based on Ant Colony Optimization (ACO) is proposed to satisfy the needs of Infrastructure as a Service (IaaS) supported by the cloud computing environment. When started, this algorithm first predicts the capability of the potentially available resource nodes; then, it analyzes some factors such as network qualities and response times to acquire a set of optimal compute nodes; finally, the tasks would be allocated to these suitable nodes. This algorithm has shorter response time and better performance than some of other algorithms which are based on Grid environment when running in the simulate cloud environment. This result is verified by the simulation in the Gridsim environment elaborated in the following section.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Wenxin Hu
AU  - Jun Zheng
AU  - Xiayu Hua
AU  - Yaqian Yang
PY  - 2013/03
DA  - 2013/03
TI  - A Computing Capability Allocation Algorithm For Cloud Computing Environment
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2258
EP  - 2262
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.566
DO  - 10.2991/iccsee.2013.566
ID  - Hu2013/03
ER  -