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Energy and carbon-efficient placement of virtual machines in distributed cloud data centers


Khosravi, A and Garg, SK and Buyya, R, Energy and carbon-efficient placement of virtual machines in distributed cloud data centers, Lecture Notes in Computer Science Volume 8097: Euro-Par 2013 Parallel Processing, 26-30 August 2013, Aachen, Germany, pp. 317-328. ISBN 978-3-642-40046-9 (2013) [Refereed Conference Paper]

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Copyright 2013 Springer

DOI: doi:10.1007/978-3-642-40047-6_33


Due to the increasing use of Cloud computing services and the amount of energy used by data centers, there is a growing interest in reducing energy consumption and carbon footprint of data centers. Cloud data centers use virtualization technology to host multiple virtual machines (VMs) on a single physical server. By applying efficient VM placement algorithms, Cloud providers are able to enhance energy efficiency and reduce carbon footprint. Previous works have focused on reducing the energy used within a single or multiple data centers without considering their energy sources and Power Usage Effectiveness (PUE). In contrast, this paper proposes a novel VM placement algorithm to increase the environmental sustainability by taking into account distributed data centers with different carbon footprint rates and PUEs. Simulation results show that the proposed algorithm reduces the CO2 emission and power consumption, while it maintains the same level of quality of service compared to other competitive algorithms.

Item Details

Item Type:Refereed Conference Paper
Keywords:cloud computing, data center, energy efficiency, carbon footprint, virtual machine placement
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Distributed systems and algorithms
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Mitigation of climate change
Objective Field:Management of greenhouse gas emissions from information and communication services
UTAS Author:Garg, SK (Dr Saurabh Garg)
ID Code:93835
Year Published:2013
Deposited By:Information and Communication Technology
Deposited On:2014-08-19
Last Modified:2017-11-20

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