Resource Request Based Energy Efficient Heuristic for Server Offloading in Cloud Computing Environment

Increasing demand for high computing power led to the establishment of large-scale data centers. A data center is a collection of millions of servers. These large-scale data centers consume a huge amount of electrical energy. Managing these servers for provisioning and de-provisioning of resources i...

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Bibliographic Details
Published in:Journal of global information management 2018-10, Vol.26 (4), p.1-17
Main Authors: Verma, J K, Katti, C P
Format: Article
Language:English
Subjects:
Algorithms
Cloud computing
Computer centers
Employment
Energy consumption
Energy efficiency
Energy use
File servers
Heuristic
Information management
Literature reviews
Maximization
Operating systems
Optimization
Packing problem
Personal computers
Power consumption
Provisioning
Public utilities
Resource utilization
Software services
Virtual computer systems
Virtual environments
Workloads
Citations: Items that this one cites
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Summary:Increasing demand for high computing power led to the establishment of large-scale data centers. A data center is a collection of millions of servers. These large-scale data centers consume a huge amount of electrical energy. Managing these servers for provisioning and de-provisioning of resources in an automatic and efficient way is a great challenge. We attempt to minimise the power consumption by reducing the number of servers and maximizing the resource utilization of the servers that are in use through virtualization of resources. We work upon Virtual Machine Consolidation for consolidating them on fewer servers for maximizing resource utilization. In this article, we propose a resource request based heuristic for offloading the overloaded servers to optimise power consumption efficiency.
ISSN:1062-7375
1533-7995
DOI:10.4018/JGIM.2018100101