DocumentCode
1876759
Title
Load balancing virtual machines deployment mechanism in SDN open cloud platform
Author
Wen-Kuei Hsieh ; Wen-Hsu Hsieh ; Jiann-Liang Chen ; Feng-Yi Chou ; Yung-Sheng Lee
Author_Institution
Gen. Educ. Center, De Lin Inst. of Technol., Taipei, Taiwan
fYear
2015
fDate
1-3 July 2015
Firstpage
329
Lastpage
335
Abstract
As a cloud data center may be located over many regions and the network environment within a cloud data center may differ from traditional ones, how Virtual Machines (VMs) are deployed will influence service performance. This study, based on the Eucalyptus cloud computing and Software-Defined Networking platform, proposes a load balancing scheduling mechanism that works on the current network status between users and associated VMs to improve the cloud services. This study also set up a node controller on the same subnet and different subnet. Study results indicate that in the same subnet of normal network, the VMs deployed with the proposed mechanism improve transmission time by 2.64% and 68.72% compared to that of the Round Robin and Greedy mechanisms consecutively. In the different subnet of normal network scenario, the proposed mechanism improves transmission time by 22.01% and 52.11% compared to that of the Round Robin and Greedy mechanisms respectively.
Keywords
cloud computing; computer centres; resource allocation; scheduling; software defined networking; virtual machines; Eucalyptus cloud computing; SDN open cloud platform; VM; cloud data center; greedy mechanism; load balancing scheduling mechanism; node controller; round robin mechanism; software-defined networking; virtual machines deployment mechanism; Cloud computing; Computer architecture; Load management; Round robin; Switches; Virtual machining; Cloud Computing; Eucalyptus; Load Balancing; OpenFlow; Software-Defined Networking; Virtual Machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Technology (ICACT), 2015 17th International Conference on
Conference_Location
Seoul
Print_ISBN
978-8-9968-6504-9
Type
conf
DOI
10.1109/ICACT.2015.7224814
Filename
7224814
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