DocumentCode :
729488
Title :
Study and performance analysis of various VM placement strategies
Author :
Chowdhury, Mohammed Rashid ; Mahmud, Mohammad Raihan ; Rahman, Rashedur M.
Author_Institution :
Dept. of Electr. & Comput. Eng., North South Univ., Dhaka, Bangladesh
fYear :
2015
fDate :
1-3 June 2015
Firstpage :
1
Lastpage :
6
Abstract :
IaaS has become one of the most dominant features that cloud computing offers by providing access to computing resources in a virtualized environment. IaaS enables datacenter´s hardware to get virtualized using virtualization, which allows Cloud providers to create multiple Virtual Machine (VMs) instances on a single physical machine, thus improving resource utilization and increasing the Return on Investment (ROI). The placement of VMs among hosts is interpreted as a bin packing problem in most of the time. In this work, we have implemented some of the bin packing solutions to address these VM placement problems. We ran our simulation on a cloud computing simulation toolkit known as CloudSim using Planet Lab workload data.
Keywords :
cloud computing; computer centres; operating systems (computers); virtual machines; CloudSim; IaaS; Planet lab workload data; ROI; Return on Investment; VM; bin packing problem; cloud computing; cloud providers; datacenter hardware; multiple virtual machine; resource utilization; various VM placement strategies; virtualized environment; Data models; Degradation; Power demand; Quality of service; Resource management; Servers; Virtual machining; VM placement; bin packing; cloud computing; dynamic consolidation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2015 16th IEEE/ACIS International Conference on
Conference_Location :
Takamatsu
Type :
conf
DOI :
10.1109/SNPD.2015.7176234
Filename :
7176234
Link To Document :
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