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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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