Author : Ruchika Wankhede 1
Date of Publication :9th March 2017
Abstract: Cloud computing is an expanding area and most discussible in the field of research, industry and development today, which involves virtualization, distributed computing, internet, and software and web services. While a large body of work now a days has recently focused on reducing energy expenses of data center’s, there exists no prior work on investigating the trade-off between minimizing energy expenditure of data center’s and increase the processing speed for various Internet and cloud computing services that they may offer. This paper presents an approach for scheduling algorithms that can maintain the load balancing. In this research work we have developed power optimization algorithm which over comes the limitations of the previous algorithm & it helps in optimization of the energy consumption along with the operation of load balancing in data centre.We implements strategy known as Round Robin (RR) scheduling algorithms which will give better result than existing one.
Reference :
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- Anton Beloglazov and Rajkumar Buyya,” Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers under Quality of Service Constraints”, IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 24, NO. 7, JULY 2013 pp no 1366-1379
- Anton Beloglazov and Rajkumar Buyya, Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers Under Quality of Service Constraints, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 7, July 2013, pages 1366 -1379.
- Foster, I., Zhao, Y., Raicu, I. & Lu, S. (2008). Cloud computing and grid computing 360-degree compared. IEEE Grid Computing Environment Workshops
- Daniel J. Abadi, Data Management in the Cloud: Limitations and Opportunities, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering 2009.
- Bhaskar Prasad Rimal, Eunmi Choi and Ian Lumb, A Taxonomy and Survey of Cloud Computing Systems, Fifth International Joint Conference on INC, IMS and IDC 2009.
- Youseff, L. Toward a Unified Ontology of Cloud Computing Retrieved fromhttp://spsteve. ikispaces.asu.edu/file/view/unified+interface+cloud.pd f.
- Lou,S. Lin , Z & Chenm ,x(2011) Virtualization security for cloud computing service. 2011 International Conference on Cloud and Service Computing 978-1-4577-1637-9/11/$26.00 ©2011 IEEE. Shenzhen, China: ZTE Corporation.
- Open Stack: An Overview. Retrieved from www. openstack.org/downloads/openstack-overviewdatasheet.pdf
- White Paper (2013). Measuring the Business Value of VMware Horizon View.
- Gagan Prakash Negi, Hemant Kapoor, Amit Kapoor,” Green Computing: A demand of Time”, An International Journal of Engineering Sciences, Issue June 2015.
- Huang, A. Software Architect, Citrix Systems Apache Cloud-Stack Architecture. [8] Amazon Elastic Compute Cloud (EC2). Retrieved from http://www.amazon.com/ec2/ (accessed on April 18, 2010).
- Google App Engine, http://appengine.google.com (April 18, 2010).
- Chappell, D. (2008). Introducing the Azure services platform. White paper.
- CliQr Makes Cloud Benchmarking Available to All Users, Providing Critical Information Needed to Optimize Application Deployment Cloud. Retrieved from www.cliqr.com/assets/downloads/ press/CliQrBenchmark.06.25.13.pdf
- Ankita Sharma, Upinder Pal Singh,” Energy Efficiency in Cloud Data Centers Using Load Balancing”, International Journal of Computer Trends and Technology (IJCTT) – volume 11 number 4 – May 2014.
- Yatendra Sahu, Yatendra Sahu, Rajeev Kumar Gupta, “Cloud Server Optimization with Load Balancing and Green Computing Techniques Using Dynamic Compare and Balance Algorithm”, Computational Intelligence and Communication Networks (CICN), 2013 5th International Conference, Sept 2013, Pages:527-531.
- Kumar Nishant, Pratik Sharma, Vishal Krishna, Chhavi Gupta and Kuwar Pratap Singh, Nitin and Ravi Rastogi, “Load Balancing of Nodes in Cloud Using Ant Colony Optimization”, Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference, March 2012, Pages:3-8. [18] Ektemal Al-Rayis, Heba Kurdi, “Performance Analysis of Load Balancing Architectures in Cloud Computing”, Modelling Symposium (EMS), 2013 European, Nov 2013, Pages: 520-524.