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A Conceptual Framework for Realizing Energy Efficient Resource Allocation in Cloud Data Centre


Affiliations
1 Department of Computing Science, Universiti Teknologi Malaysia. 81310, Johor Bahru, Malaysia
2 Department of Computer Science, Abubakar Tafawa Balewa University Bauchi. 740272 Bauchi Nigeria
 

Objectives: To present the state of the art on energy efficient frameworks in cloud computing environments Methods/ Statistical Analysis: To propose a conceptual framework for energy efficient IaaS (Infrastructure as a Service) of single and multi-cloud data centre. Findings: The approach is based on virtualization and consolidation technique that enables on-demand and dynamic resource allocation while minimizing energy consumption and carbon emission of the data centre with different energy sources. Applications/Improvements: The proposed framework unlike the previous approaches support intra and inter-data centre resource provisioning and also deals with dynamic resource allocation of single and multi-cloud data centre.

Keywords

Carbon Emission, Data Center, Energy Efficiency, Network Resource, Resource Allocation, Virtual Machine.
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  • A Conceptual Framework for Realizing Energy Efficient Resource Allocation in Cloud Data Centre

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Authors

M. J. Usman
Department of Computing Science, Universiti Teknologi Malaysia. 81310, Johor Bahru, Malaysia
A .S. Ismail
Department of Computing Science, Universiti Teknologi Malaysia. 81310, Johor Bahru, Malaysia
H. Chizari
Department of Computing Science, Universiti Teknologi Malaysia. 81310, Johor Bahru, Malaysia
A.Y. Gital
Department of Computer Science, Abubakar Tafawa Balewa University Bauchi. 740272 Bauchi Nigeria
A. Aliyu
Department of Computing Science, Universiti Teknologi Malaysia. 81310, Johor Bahru, Malaysia

Abstract


Objectives: To present the state of the art on energy efficient frameworks in cloud computing environments Methods/ Statistical Analysis: To propose a conceptual framework for energy efficient IaaS (Infrastructure as a Service) of single and multi-cloud data centre. Findings: The approach is based on virtualization and consolidation technique that enables on-demand and dynamic resource allocation while minimizing energy consumption and carbon emission of the data centre with different energy sources. Applications/Improvements: The proposed framework unlike the previous approaches support intra and inter-data centre resource provisioning and also deals with dynamic resource allocation of single and multi-cloud data centre.

Keywords


Carbon Emission, Data Center, Energy Efficiency, Network Resource, Resource Allocation, Virtual Machine.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i46%2F129219