Time efficient dynamic threshold-based load balancing technique for Cloud Computing

Mishra, SK; Khan, MA; Sahoo, B; Puthal, D; Obaidat, MS; Hsiao, KF

Time efficient dynamic threshold-based load balancing technique for Cloud Computing

Mishra, SK Khan, MA Sahoo, B Puthal, D

Obaidat, MS Hsiao, KF

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Publication Type:: Conference Proceeding
Citation:: IEEE CITS 2017 - 2017 International Conference on Computer, Information and Telecommunication Systems, 2017, pp. 161 - 165
Issue Date:: 2017-09-12

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Field	Value	Language
dc.contributor.author	Mishra, SK	en_US
dc.contributor.author	Khan, MA	en_US
dc.contributor.author	Sahoo, B	en_US
dc.contributor.author	Puthal, D https://orcid.org/0000-0002-8332-278X	en_US
dc.contributor.author	Obaidat, MS	en_US
dc.contributor.author	Hsiao, KF	en_US
dc.date.issued	2017-09-12	en_US
dc.identifier.citation	IEEE CITS 2017 - 2017 International Conference on Computer, Information and Telecommunication Systems, 2017, pp. 161 - 165	en_US
dc.identifier.isbn	9781509059560	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126324
dc.description.abstract	© 2017 IEEE. Cloud computing is a novel technology leads several new challenges to all organizations worldwide. Cloud computing supports virtual machines (VMs) to host multiple applications simultaneously. Balancing the large numbers of applications in the heterogeneous cloud environment becomes challenging as the hypervisor scheduling controls all VMs. When the scheduler allocates tasks to the overloaded VMs, the performance of the cloud system degrades. In this paper, we present a novel load balancing approach to organizing the virtualized resources of the data center efficiently. In our approach, the load to a VM scales up and down according to the resource capacity of the VM. The proposed scheme minimizes the makespan of the system, maximizes resource utilization and reduces the overall energy consumption. We have evaluated our approach in CloudSim simulation environment, and our devised approach has reduced the waiting time compared to existing approaches and optimized the makespan of the cloud data center.	en_US
dc.relation.ispartof	IEEE CITS 2017 - 2017 International Conference on Computer, Information and Telecommunication Systems	en_US
dc.relation.isbasedon	10.1109/CITS.2017.8035327	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Time efficient dynamic threshold-based load balancing technique for Cloud Computing	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2017 IEEE. Cloud computing is a novel technology leads several new challenges to all organizations worldwide. Cloud computing supports virtual machines (VMs) to host multiple applications simultaneously. Balancing the large numbers of applications in the heterogeneous cloud environment becomes challenging as the hypervisor scheduling controls all VMs. When the scheduler allocates tasks to the overloaded VMs, the performance of the cloud system degrades. In this paper, we present a novel load balancing approach to organizing the virtualized resources of the data center efficiently. In our approach, the load to a VM scales up and down according to the resource capacity of the VM. The proposed scheme minimizes the makespan of the system, maximizes resource utilization and reduces the overall energy consumption. We have evaluated our approach in CloudSim simulation environment, and our devised approach has reduced the waiting time compared to existing approaches and optimized the makespan of the cloud data center.

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http://hdl.handle.net/10453/126324