A Comparative Study of Load Balancing Algorithms in a Cloud Environment

被引:1
|
作者
Duggal, Ashmeet Kaur [1 ]
Dave, Meenu [1 ]
机构
[1] Jagannath Univ, Jaipur, Rajasthan, India
关键词
Cloud Computing; Load Balancing; Static Load Balancing; Dynamic Load Balancing; Load Balancing Algorithms: Round Robin; ESCE (Equally Spread Current Execution); Throttled;
D O I
10.1007/978-981-15-0222-4_10
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Providing computing resources on Cloud is an on demand, systematic way to deliver computing services like databases, storage services, computing servers, networking services, software's, etc. The Cloud resource service provider ensures resource availability via the Internet with the help of web-based applications and tools. Or in other words, it provides a simple way to take advantage of the Computing Services available on Cloud via the internet. As we know, there is a rapid expansion in the number of users accessing the Cloud Computing Services which may lead to the scarcity of the resources. Further, leading to a state of deadlock. The deadlock condition arises when a group of users shares the same resources at the same time. So to avoid the deadlock condition, we should implement Load Balancing on the virtual machines. This paper aims to deliver the concept of Load Balancing, how it improves the performance of the system, as well as it describes a comparative study of Algorithms to balance the Load with the help of Cloud Analyst Simulation Tool.
引用
收藏
页码:115 / 126
页数:12
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