• DocumentCode
    604088
  • Title

    Enhancing Multi-tenancy Security in the Cloud IaaS Model over Public Deployment

  • Author

    Aljahdali, H. ; Townend, Paul ; Jie Xu

  • Author_Institution
    Sch. of Comput., Univ. of Leeds, Leeds, UK
  • fYear
    2013
  • fDate
    25-28 March 2013
  • Firstpage
    385
  • Lastpage
    390
  • Abstract
    Cloud Computing can be seen as an instance of Computing as a Utility, where customers utilize the concept of "pay-as-you-go" for applications, computing and storage resources. This concept is utilized particularly heavily in Infrastructure as a Service (IaaS) models. In IaaS Clouds, customers can instantly be allocated - and subsequently release - Virtual Machines (VMs). To achieve easy management and better performance, Cloud providers utilize automated resource allocation techniques, which results in some cases of having two or more VMs belonging to different customers residing in the same physical machine. The situation described above is known as Multi-Tenancy and could lead to confidentiality violation. Since Multi-tenancy heavily depends on resource allocation, we propose a resource allocation technique which considers security as a requirement. In most cases resource allocation techniques consider, but are not limited to, either performance or power consumption but not security. So, by making resource allocation techniques consider security by design, we can enhance Multi-tenancy security which will in turn positively impact Cloud Computing Security.
  • Keywords
    cloud computing; data privacy; power aware computing; resource allocation; security of data; virtual machines; VM; cloud IaaS model; cloud computing security; computing as a utility; computing resource; confidentiality violation; infrastructure as a service model; multitenancy security; pay-as-you-go; power consumption; public deployment; resource allocation; storage resource; virtual machine; Cloud computing; Computational modeling; Databases; Power demand; Resource management; Security; Virtualization; Cloud Computing; Multi-Tenancy; Resource Allocation; Security; Virtual Machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Oriented System Engineering (SOSE), 2013 IEEE 7th International Symposium on
  • Conference_Location
    Redwood City
  • Print_ISBN
    978-1-4673-5659-6
  • Type

    conf

  • DOI
    10.1109/SOSE.2013.50
  • Filename
    6525550