Energy-Aware Virtual Machine Consolidation for Cloud Data Centers

One of the issues in virtual machine consolidation (VMC) in cloud data centers is categorizing different workloads to classify the state of physical servers. In this paper, we propose a new scheme of host's load categorization in energy-performance VMC framework to reduce energy consumption whi...

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Bibliographic Details
Published in:Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing pp. 1010 - 1015
Main Authors: Alboaneen, Dabiah Ahmed, Pranggono, Bernardi, Tianfield, Huaglory
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2014
Subjects:
Bandwidth
cloud data center
Degradation
Energy consumption
energy-aware
energy-efficient
Heuristic algorithms
Measurement
Quality of service
virtual machine consolidation (VMC)
Virtual machining
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Summary:One of the issues in virtual machine consolidation (VMC) in cloud data centers is categorizing different workloads to classify the state of physical servers. In this paper, we propose a new scheme of host's load categorization in energy-performance VMC framework to reduce energy consumption while meeting the quality of service (QoS) requirement. Specifically the under loaded hosts are classified into three further states, i.e., Under loaded, normal and critical by applying the under load detection algorithm. We also design overload detection and virtual machine (VM) selection policies. The simulation results show that the proposed policies outperform the existing policies in Cloud Sim in terms of both energy and service level agreements violation (SLAV) reduction.
DOI:10.1109/UCC.2014.166