The week's pick
Random Articles
Reseach Article
A Proposed Approach for Efficient Energy Utilization in Cloud Data Center
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 115 - Number 11 |
| Year of Publication: 2015 |
| Authors: Akhil Goyal, Navdeep S. Chahal |
10.5120/20197-2439
|
Akhil Goyal, Navdeep S. Chahal . A Proposed Approach for Efficient Energy Utilization in Cloud Data Center. International Journal of Computer Applications. 115, 11 ( April 2015), 24-27. DOI=10.5120/20197-2439
Abstract
Cloud computing has transmuted the IT industry on the whole and made easy to access the resources from anywhere and at anytime. These resources can be accessed as a service rather than as a product. Clients pay for the service used as per their requirement. The huge demand of cloud computing has given rise to the creation of hefty amount of data centers. These data centers consist of different types of resources and each resource is bound to its own power consumption scenario. Besides a number of benefits; Cloud data centers also pose the problem of large amount of power consumption. Lots of techniques and methods have been developed to solve this issue out of which load balancing is one such technique. This paper discusses load balancing using a nature inspired algorithm known as Particle Swarm Optimization (PSO) algorithm. A different nature inspired algorithm known as Firefly Algorithm (FA) is proposed to solve the above said issue.
References
- Akhil Goyal, Bharti, "A Study of Load Balancing in Cloud Computing using soft Computing Techniques," International Journal of Computer Applications © 2014 by IJCA Journal, Vol. 92, No. 9, 2014.
- Anton Beloglozov, Jemal Abawajy, Rajkumar Buyya, "Energy-aware Resource Allocation Heuristics for Efficient management of Data centers for Cloud Computing," Future Generation Computer Systems, vol. 28, pp. 755-768, ELSEVIER 2012.
- Ashwin T. S. , Shridhar G. Domanal and G. Ram Mohana Reddy, "A Novel Bio-Inspired Load Balancing of Virtual Machines in Cloud Environment," in IEEE conference, Banglore, pp. 1-4, Oct, 2014.
- Bharti Wadhwa, Amandeep Verma, "Energy Saving approaches for Green Cloud Computing: A Review," Proceedings of RAECS UIET Panjab University Chandigarh, IEEE, 06 – 08 March, 2014.
- Jens Buysse, Konstantinos Georgakilas, Anna Tzanakaki, Marc De Leenheer, Bart Dhoedt, Chris Develder, "Energy- Efficient Resource-Provisioning Algorithm for Optical Clouds," Journal of Optical Communication Network, Vol. 5, No. 3, pp. 226-239, March 2013.
- Kumar Nishant, Pratik Sharma, Vishal Krishna, Chhavi Gupta, Kunwar Pratap Singh, Nitin, Ravi Rastogi, "Load Balancing of Nodes in Cloud using Ant Colony Optimization," 14th International Conference on Modelling and Simulation, IEEE, pp. 3-8, 2012.
- An-ping Xiong, Chun-xiang Xu, "Energy Efficient Multiresource Allocation of Virtual Machine Based on PSO in Cloud Data Center," Hindawi Publishing Corporation, Mathematical Problems in Engineering, Vol. 2014, Article ID 816518, June, 2014.
- http://www. koomey. com; Last accessed on Jonathan Koomey, Ph. D. Research fellow, Steyer-Taylor Center for Energy Policy and Finance, Stanford University, Presented at The Physics Of Sustainable Energy III University of California, Berkeley, March 8 2014.
- Pushtikant Malviya, Swapnamukta Agrawal, Shailendra Singh, "An Effective Approach for Allocating VMs to Reduce the Power Consumption of Virtualized Cloud Environment," Fourth International Conference on Communication Systems and Network Technologies, IEEE, 2014.
- R. Yamini, "Power Management in Cloud Computing Using Green Algorithm," IEEE-International Conference on Advances in Engineering, Science and Management (ICAESM 2012) pp. 128-133, March 30, 31, 2012
- Saibal K. Pal, C. S. Rai, Amritpal Singh, "Comparative Study of Firefly Algorithm and Particle Swarm Optimization for Noisy Non-Linear Optimization Problems," I. J. Intelligent Systems and Applications, pp. 50-57, 2012
- Wanneng Shu, Wei Wang, Yunji Wang, "A Novel Energy-Efficient Resource Allocation Algorithm based on Immune Clonal Optimization for Green Cloud Computing," EURASIP Journal on Wireless Communications and Networking, Springer, 2014.
- X. Fan, W. D. Weber, L. A. Barroso, "Power Provisioning for Warehouse-Sized Computer," in proceedings of the 34th International Symposium on Computer Architecture (ISCA), pp. 13-23, 2007.
- X. S. Yang, "Nature-Inspired Meta-heuristic Algorithms," Luniver Press, 2010.
- Yanwen Xiao, Jinbao Wang, Yaping li, Hong Gao, "An Energy-Efficient Data Placement Algorithm and Node Scheduling Strategies in Cloud Computing Systems," 2nd International Conference on Advances in Computer Science and Engineering, Atlantis Press (CSE 2013).
Index Terms
Keywords