Energy Efficient Utilization of Cloud Resources Using Hybrid Ant colony Genetic Algorithm for a Sustainable Green Cloud Environment

被引:0
|
作者
Karuppasamy, M. [1 ]
Suprakash, S. [1 ]
Balakannan, S. P. [1 ]
机构
[1] Kalasalingam Univ, Krishnankoil, Tamil Nadu, India
来源
PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL (I2C2) | 2017年
关键词
Cloud Computing; Green; Environment; Virtualization; Energy;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays the Cloud computing services are proliferation. The Cloud computing resources face major pitfall in energy consumes. The prime of energy consumption in cloud computing is by means of client computational devices, server computational devices, network computational devices and power required to cool the IT load. The cloud resources contribute high operational energy cost and emit more carbon emission to the environment. Therefore the cloud services providers need green cloud environment resolution to decrease the operational energy cost along with environmental impact. The major objective of this work is to trim down the energy from utilized and unutilized (idle) cloud resources and save the energy in cloud resources efficiently. To achieve the sustainable green cloud environment from a Hybrid Ant colony Genetic Algorithm used in this paper which chooses the appropriate virtual services so that the power at the client, server and network recourses can be reduced.
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页数:5
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