Back to Search Start Over

Constraint Programming-Based Virtual Machines Placement Algorithm in Datacenter

Authors :
Yang Gao
Yonghong Yu
Nanjing University of Posts and Telecommunications [Nanjing] (NJUPT)
State Key Laboratory of Novel Software Technology
Nanjing University (NJU)
Zhongzhi Shi
David Leake
Sunil Vadera
TC 12
Source :
IFIP Advances in Information and Communication Technology, 7th International Conference on Intelligent Information Processing (IIP), 7th International Conference on Intelligent Information Processing (IIP), Oct 2012, Guilin, China. pp.295-304, ⟨10.1007/978-3-642-32891-6_37⟩, Intelligent Information Processing VI ISBN: 9783642328909, Intelligent Information Processing
Publication Year :
2012
Publisher :
HAL CCSD, 2012.

Abstract

Part 9: Trust Software; International audience; As underlying infrastructure of cloud computing platform, datacenter is seriously underutilized, however, its operating costs is high. In this paper, we implement virtual machines placement algorithm in CloudSim using constraint programming approach. We first formulate the problem of virtual machines placement in virtualized datacenters as a variant of multi-dimensions bin packing problem, and then exploit constraint solver to solve this problem with the objective of minimizing number of physical machines that host virtual machines. Finally, we compare different virtual placement algorithms for evaluating constraint programming-based virtual machine placement algorithm including the built-in virtual machine placement algorithm in CloudSim and FFD algorithm. The experimental results show that constraint programming-based virtual machines placement algorithm can efficiently reduce the number of physical machines to achieve the goal of reducing datacenter operating costs and improving resource utilization.

Details

Language :
English
ISBN :
978-3-642-32890-9
ISBNs :
9783642328909
Database :
OpenAIRE
Journal :
IFIP Advances in Information and Communication Technology, 7th International Conference on Intelligent Information Processing (IIP), 7th International Conference on Intelligent Information Processing (IIP), Oct 2012, Guilin, China. pp.295-304, ⟨10.1007/978-3-642-32891-6_37⟩, Intelligent Information Processing VI ISBN: 9783642328909, Intelligent Information Processing
Accession number :
edsair.doi.dedup.....c8a6bdbb86a96f7793a50379919f9532
Full Text :
https://doi.org/10.1007/978-3-642-32891-6_37⟩