Cost aware service broker algorithm for load balancing geo-distrubuted data centers in cloud

被引:0
|
作者
Kulkarni, Ashwin Kumar [1 ]
Annappa, B. [1 ]
机构
[1] Natl Inst Technol Karnataka, Dept Comp Sci & Engn, Mangalore, India
来源
2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, INFORMATICS, COMMUNICATION AND ENERGY SYSTEMS (SPICES) | 2017年
关键词
Load balancing; Cloud computing; Cost-aware;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With increased cloud adoption globally, the cloud service providers are setting up their data centers in various geographical location to cater the needs of diverse range of users across the globe. The cost of managing data center includes not only hardware, software costs but also the electricity costs prevailing at that location. The cost of electricity varies from location to location and it is mainly because of the uneven production & availability of resources, infrastructure to generate electricity at that part of the globe. It is important for data center owners to reduce the data center management cost without affecting the agreed SLA of service to its users. The paper proposes an algorithm for routing service requests to geodistributed datacenters considering the electricity cost and response times to optimize the cost of datacenter management. The experimental results using cloud analyst show that our approach reduces the cost of data center management without any increase in the response time for users.
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页数:5
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