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Experimenting on virtual machines co-residency in the cloud: A Comparative Study of Available Test Beds

Lookup NU author(s): Abdulaziz Alabdulhafez, Dr Paul EzhilchelvanORCiD

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by ACM, 2014.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

Cloud computing aims to provide users with instant, on-demand access to large pools of computational resources. Although many organizations and end-users have migrated services and data to the cloud, a number of security concerns still exist. In particular, recent researches have highlighted virtual machine (VM) coresidency as a new risk brought to the infrastructure as a service (IaaS) cloud by virtualization technologies which form the core of IaaS platforms. The placement of an attacker’s virtual machine (VM) on the same physical server as a victim's VM is the key to successfully launching several harmful side-channel attacks to gain sensitive and valuable information about the co-residing VMs. When such placement manifests in a malicious manner then it is called VM co-residency. In this paper a number of cloud platforms and software tools are evaluated on their suitability as test beds for experimenting on VM co-residency. This study leads to a recommendation for implementing a purpose-built simulator which can be used as a test bed for future research on VM coresidency in the cloud.


Publication metadata

Author(s): Alabdulhafez A, Ezhilchelvan P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 29th Annual ACM Symposium on Applied Computing

Year of Conference: 2014

Pages: 363–367

Print publication date: 24/03/2014

Online publication date: 24/04/2014

Acceptance date: 01/01/1900

Date deposited: 17/04/2015

Publisher: ACM

URL: http://dx.doi.org/10.1145/2554850.2555105

DOI: 10.1145/2554850.2555105

Library holdings: Search Newcastle University Library for this item

ISBN: 9781450324694


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