A Novel Cloud Partitioning Algorithm Using Load Balancing in Public Cloud Environment
Suhas Chitturi1, Surya Teja Marella2, Swaroop Chitturi3, Sk. Hasane Ahammad4
1Suhas Chitturi Department of Computer Science & Engineering, K L University, Guntur, India.
2Surya Teja Marella, Department of Computer Science & Engineering, K L University, Guntur, India.
3Swaroop Chitturi, Department of Computer Science & Engineering, SRKR Engineering College, India.
4Sk. Hasane Ahammad, Department of Computer Science & Engineering, SRKR Engineering College, India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 856-860 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5868058719/19©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 a growing technology which is termed basically as use of various services like storage, servers, software and other software development platforms over the internet, often referred as the term “cloud”, which is used to provide different resources in order to perform complicated tasks. As we know in present scenario, the traffic on the internet is growing rapidly and the number of services to be offered to the users is increasing due to the rapid increase in popularity of these cloud services. This results in the increase workload on the server ultimately slowing down the process and leading to overloading of the servers. Thus, in order to prevent this, load balancing is used. [1]A proper load balancer results in cloud computing services to be efficient and also leads to positive user satisfaction. The paper aims to provide a load balance model related to the concept of cloud partitioning with the help of a switch mechanism which gives a choice to switch various strategies for different situations which is to be used for the public cloud. The concept of game theory is applied in this algorithm in order to improve the efficiency in public cloud environment.
Keyword: Cloud Computing, Load Balancing, VM Scheduling
Scope of the Article: Cloud Computing