期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：5
页码：2142-2147
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Cloud computing is an internet based computing. The computing concept has improvedthe usage of a network in whichcapacity of one node can be utilized by other node. Cloud will provide the services on demand tothe distributive resources such as database,software's, infrastructure,servers etc..Load balancing in a cloud computing environment is an important factor which affects the performance.Presently , the usage of internet and related resources have been increasing rapidly. Because of this there is an huge increase in workload. Hence there is an irregular distribution of this workload which results in a server overloading and might crash. In such systems, resources are not optimally been used.Because of this performance will degrade and efficiency reduces. Load balancing is the mechanism that shares the dynamic workload for all nodes in the whole cloud. Here Load balancing introduces a better load balance for public cloud based on partitioning of cloud concept.If the load is increased in cloud ,it will be analysed by using hadoop. The use of Map Reduce in Hadoop ,will divide the into logical chunks and every chunk may firstly processed in parallel, by a map job.Different load balancing algorithms have been proposed in order to manage the resources of service provider in an well organised format and effectively. This paper presents a comparison of various policies utilized for load balancing.
关键词：cloud computing; ; loadbalancing model; public ; cloud; cloud partition; Main controller; Balancer; Load ; balancing algorithm; Hadoop
