DocumentCode
3677858
Title
Local Search Based Ant Colony Optimization for Scheduling in Cloud Computing
Author
Naveen Kumar Gondhi;Aditya Sharma
Author_Institution
Sch. of Comput. Sci. &
fYear
2015
fDate
5/1/2015 12:00:00 AM
Firstpage
432
Lastpage
436
Abstract
Over the past few years, cloud computing has evolved as most promising field in computing environment. It has advanced a lot and due to its attractive features, more and more organizations are adopting it day by day. But, still a lot needs to be done to provide seamless service to the cloud clients. In this paper, modified approach based on ant colony optimization algorithm has been proposed for better optimization of allocation process of virtual machines to their respective physical counterparts. This can greatly increase the efficient usage of current physical resources.
Keywords
"Cloud computing","Virtual machining","Resource management","Ant colony optimization","Energy consumption","Energy efficiency","Servers"
Publisher
ieee
Conference_Titel
Advances in Computing and Communication Engineering (ICACCE), 2015 Second International Conference on
Print_ISBN
978-1-4799-1733-4
Type
conf
DOI
10.1109/ICACCE.2015.147
Filename
7306725
Link To Document