Load Balancing in Green Cloud Computation

被引：0
|
作者：
Al Sallami, Nada M. [1 ]
机构：
[1] Al Zaytoonah Univ Jordan, Sci & Informat Technol Coll, Amman, Jordan
来源：
WORLD CONGRESS ON ENGINEERING - WCE 2013, VOL II | 2013年
关键词：
Green Cloud Computing; Load Balancing; Artificial Neural Networks;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper discusses a proposed load balance technique based on Artificial Neural Network ANN. ANN predict the demand and then allocate resources according to demand. Thus, it always maintains the active servers according to current demand, which results in low energy consumption than the conservative approach of over-provisioning. Furthermore, high utilization of server results in more power consumption, server running at higher utilization can process more workload with similar power usage. Finally the existing load balancing techniques in cloud computing are discussed and compared based on various parameters.
引用
收藏
页码：798 / 802
页数：5
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