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Sensors 2017, 17(5), 968; doi:10.3390/s17050968

Static Memory Deduplication for Performance Optimization in Cloud Computing

1
Department of Computer Science and Technology, Hangzhou Dianzi University, No. 1108, Street 1, Xiasha, Hangzhou 310018, China
2
Department of Information and Communication Systems, Hohai University, Jinling North Road, No. 200, Changzhou 213022, China
*
Author to whom correspondence should be addressed.
Academic Editors: Yunchuan Sun, Zhipeng Cai and Antonio Jara
Received: 22 March 2017 / Revised: 17 April 2017 / Accepted: 24 April 2017 / Published: 27 April 2017
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Abstract

In a cloud computing environment, the number of virtual machines (VMs) on a single physical server and the number of applications running on each VM are continuously growing. This has led to an enormous increase in the demand of memory capacity and subsequent increase in the energy consumption in the cloud. Lack of enough memory has become a major bottleneck for scalability and performance of virtualization interfaces in cloud computing. To address this problem, memory deduplication techniques which reduce memory demand through page sharing are being adopted. However, such techniques suffer from overheads in terms of number of online comparisons required for the memory deduplication. In this paper, we propose a static memory deduplication (SMD) technique which can reduce memory capacity requirement and provide performance optimization in cloud computing. The main innovation of SMD is that the process of page detection is performed offline, thus potentially reducing the performance cost, especially in terms of response time. In SMD, page comparisons are restricted to the code segment, which has the highest shared content. Our experimental results show that SMD efficiently reduces memory capacity requirement and improves performance. We demonstrate that, compared to other approaches, the cost in terms of the response time is negligible. View Full-Text
Keywords: main memory; memory deduplication; cloud computing; virtualization; performance main memory; memory deduplication; cloud computing; virtualization; performance
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Jia, G.; Han, G.; Wang, H.; Yang, X. Static Memory Deduplication for Performance Optimization in Cloud Computing. Sensors 2017, 17, 968.

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