Energy-Efficient Resource Allocation Approaches for Cloud Computing Systems: A Survey and Taxonomy

被引:0
|
作者
Sharma, Chitra [1 ]
Tiwari, Pradeep Kumar [1 ]
Agarwal, Garima [1 ]
机构
[1] Manipal Univ Jaipur, Jaipur, Rajasthan, India
关键词
VIRTUAL MACHINE CONSOLIDATION; AWARE;
D O I
10.1007/978-981-16-2877-1_44
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As cloud computing is growing increasingly and clients are demanding more resources and better performance, load balancing for the cloud has become a very interesting and relevant research field. Several algorithms have been suggested to provide successful frameworks and algorithms to allocate the requests of the client to available cloud nodes. These techniques are aimed at enhancing the overall efficiency of the cloud and delivering more enjoyable and effective services for the customer. One of the most significant research challenges in cloud computing is the use of energy-aware technologies along with the management of service level agreements. In this article, we discuss the numerous algorithms suggested in cloud computing to solve the problem of energy-effective techniques.
引用
收藏
页码:479 / 484
页数:6
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