Open Access

ARTICLE

Homogeneous Batch Memory Deduplication Using Clustering of Virtual Machines

N. Jagadeeswari^1,*, V. Mohan Raj²

1 Department of CSE, Thanthai Periyar Government Institute of Technology, Vellore, 632002, India
2 Department of IT, Sona College of Technology, Salem, 636005, India

* Corresponding Author: N. Jagadeeswari. Email:

Computer Systems Science and Engineering 2023, 44(1), 929-943. https://doi.org/10.32604/csse.2023.024945

Received 05 November 2021; Accepted 24 January 2022; Issue published 01 June 2022

Abstract

Virtualization is the backbone of cloud computing, which is a developing and widely used paradigm. By finding and merging identical memory pages, memory deduplication improves memory efficiency in virtualized systems. Kernel Same Page Merging (KSM) is a Linux service for memory pages sharing in virtualized environments. Memory deduplication is vulnerable to a memory disclosure attack, which uses covert channel establishment to reveal the contents of other colocated virtual machines. To avoid a memory disclosure attack, sharing of identical pages within a single user’s virtual machine is permitted, but sharing of contents between different users is forbidden. In our proposed approach, virtual machines with similar operating systems of active domains in a node are recognised and organised into a homogenous batch, with memory deduplication performed inside that batch, to improve the memory pages sharing efficiency. When compared to memory deduplication applied to the entire host, implementation details demonstrate a significant increase in the number of pages shared when memory deduplication applied batch-wise and CPU (Central processing unit) consumption also increased.

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Keywords

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