Addressing Issues of Cloud Resilience, Security and Performance through Simple Detection of Co-locating Sibling Virtual Machine Instances
Author(s) -
John Ο’Loughlin,
Lee Gillam
Publication year - 2015
Publication title -
surrey open research repository (university of surrey)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0005485000600067
Subject(s) - computer science , cloud computing , computer security , redundancy (engineering) , hypervisor , multitenancy , resilience (materials science) , virtual machine , virtualization , proxy (statistics) , focus (optics) , adversary , machine learning , operating system , software , software development , software as a service , optics , physics , thermodynamics
Most current Infrastructure Clouds are built on shared tenancy architectures, with resources shared amongst\udlarge numbers of customers. However, multi tenancy can lead to performance issues (so-called “noisy\udneighbours”) and also brings potential for serious security breaches such as hypervisor breakouts.\udConsequently, there has been a focus in the literature on identifying co-locating instances that are being\udaffected by noisy neighbours or suggesting that such instances are vulnerable to attack. However, there is\udlimited evidence of any such attacks in the wild. More beneficially, knowing that there is co-location\udamongst your own Virtual Machine instances (siblings) can help to avoid being your own worst enemy:\udavoiding your instances acting as your own noisy neighbours, building resilience through ensuring hostbased\udredundancy, and/or reducing exposure to a single compromised host. In this paper, we propose and\uddemonstrate a test to detect co-locating sibling instances on Xen-based Clouds, as could help address such\udneeds, and evaluate its efficacy on Amazon’s EC2
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