JOURNAL ARTICLE

Security Aware and Energy-Efficient Virtual Machine Consolidation in Cloud Computing Systems

Abstract

The increasing number of data centers is consuming significant power with an upward surge. Hence, to preserve such huge energy and operating cost of data centers, the cloud service providers consolidate Virtual Machines (VM) to minimize the number of active physical machines. However, lack of reliable security measurements and policy enforcement during the consolidation process, have increased the security risks to the clients. In this paper, the compartment isolation technique is introduced to improve the system security during the consolidation process. The security-based selection and placement algorithms are also presented. The comparative analysis of this improved security approach shows that utilizing the proposed method will reduce the security risks without impacting the overall power consumption in data centers.

Keywords:
Computer science Cloud computing Computer security Virtual machine Energy consumption Cloud service provider Cloud computing security Security policy Consolidation (business) Computer security model Security service Enforcement Power consumption Information security Operating system Engineering Power (physics) Business

Metrics

17
Cited By
3.98
FWCI (Field Weighted Citation Impact)
16
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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