• DocumentCode
    3712884
  • Title

    Enabling security-aware virtual machine placement in IaaS clouds

  • Author

    Xuebiao Yuchi;Sachin Shetty

  • Author_Institution
    Electrical and Computer Engineering, Tennessee State University, Nashville, 37209, USA
  • fYear
    2015
  • Firstpage
    1554
  • Lastpage
    1559
  • Abstract
    Infrastructure as a Service (IaaS) facilitates the provisioning of virtual machines (VMs) in cloud computing platform for disjoint customers in a highly scalable, flexible, and cost-efficient fashion. However, introducing new VMs to a physical server where vulnerable VM already exists could lead to potential security risks to the new ones. Furthermore, even the physical server itself could be compromised by attackers through one of these vulnerable VMs. Therefore, VM placement could bring great impact over the security level of the whole cloud. In this paper, we first quantify the security risks of cloud environments based on virtual machine vulnerabilities and placement schemes. Based on our security evaluation, we present a novel VM placement algorithm that can minimize the cloud´s overall security risks by considering the connections among VMs. According to the experimental results, our approach can greatly improve the survivability of most VMs and the entire cloud. The computing costs and deployment costs of our techniques are also practical.
  • Keywords
    "Cloud computing","Measurement","Virtual machining","Servers","Computer security","Virtual machine monitors"
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, MILCOM 2015 - 2015 IEEE
  • Type

    conf

  • DOI
    10.1109/MILCOM.2015.7357666
  • Filename
    7357666