Performance Comparison of Load Balancing Algorithms using Cloud Analyst in Cloud Computing

被引:0
|
作者
Shakir, Muhammad Sohaib [1 ]
Razzaque, Engr Abdul
机构
[1] Univ Lahore, Dept Informat Technol, Lahore, Pakistan
关键词
Cloud computing; parallel and distributed Computing; balance of data; round robin; ALLOCATION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud computing is now-a-days the most trending field in Information technology which facilitates the users to access everything they need on the internet from software's to the resources. The user just need to request to the server to access the required requirement. Different architecture of cloud computing includes parallel and distributed computing which enable the remote area users to access the resources efficiently. Client from different geographical areas generate the request to the server and in response server has to assign the tasks to the available servers for efficiently working. As the distributed environment is growing, problems of load balancing is also emerging and trying to seek our attention. Different algorithms are used in cloud computing to face this challenge of loading the balance of data among servers. Some of them are discussed in this article and simulation is performed using the cloud analyst tool to see the performance comparison among them. Round robin is found best among the being compared.
引用
收藏
页码:509 / +
页数:5
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