A Framework for Performance Analysis of Computing Clouds
Mintu M. Ladani1,Vinit Kumar Gupta2
1Mintu M. Ladani, M.E. Department of Computer, Gujarat Technological University, Hasmukh Goswami College of Engineering, Vahelal Ahmedabad (Gujarat), India.
2Vinitkumar Gupta, M.E. Department of Computer, Gujarat Technological University, Hasmukh Goswami College of Engineering, Vahelal Ahmedabad (Gujarat), India.
Manuscript received on 10 May 2013 | Revised Manuscript received on 18 May 2013 | Manuscript Published on 30 May 2013 | PP: 245-247 | Volume-2 Issue-6, May 2013 | Retrieval Number: F0836052613/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud Computing is widely spread technique which has emerged a new technology that provides large amounts of computing and data storage capacity to its users with a promise of increased scalability, better availability, and reduced administration and maintenance costs. Because the use of cloud computing environments increases, it becomes crucial to understand the performance of this environment. So, to assess the performance of computing clouds in terms of various metrics is of great importance, such as the overhead of acquiring and releasing the virtual computing resources, and other virtualization and network communications overheads. To address these issues, we have presented the architecture of the framework and discuss several cloud resource management alternatives. Then finally we have designed and implemented load balancing algorithm for performance increase. we state the requirements for defining such algorithm to assess the performance of computing clouds. Secondly, a new VM load balancing algorithm has been proposed and designed for an IaaS framework in cloud computing environment; i.e. ‘Modified Weighted Active Monitoring Load Balancing Algorithm’ on cloud, for the Datacenter to effectively load balance requests between the available virtual machines assigning a weight, in order to achieve better performance parameters such as response time and Data processing time.
Keywords: About Four Key Words Or Phrases in Alphabetical Order, Separated By Commas.
Scope of the Article: Cloud Computing