• DocumentCode
    722581
  • Title

    An open NFV and cloud architectural framework for managing application virality behaviour

  • Author

    Krishnaswamy, Dilip ; Krishnan, Ram ; Lopez, Diego ; Willis, Peter ; Qamar, Asif

  • Author_Institution
    IBM Res., Bangalore, India
  • fYear
    2015
  • fDate
    9-12 Jan. 2015
  • Firstpage
    746
  • Lastpage
    754
  • Abstract
    One of the key goals of Network Functions Virtualization (NFV) is achieving energy efficiency through workload consolidation. A good example for maximizing energy savings is the Virtualization of Content Delivery Networks (vCDNs) NFV use case where the video streaming workloads exhibit significant difference between prime-time and non-prime-time usage of the infrastructure. This paper examines the practical challenges in maximizing energy efficiency for vCDN workloads. This paper proposes an open NFV architectural framework for conveying content virality information from Cloud applications such as YouTube, Twitter and mechanisms for leveraging it to maximize the energy efficiency for vCDN workloads. This paper also proposes a more general architecture for any Cloud/NFV application that may experience virality.
  • Keywords
    cloud computing; video streaming; virtualisation; NFV; application virality behaviour; content virality information; network functions virtualization; vCDN workloads; video streaming workloads; virtualization of content delivery networks; Aggregates; Dynamic scheduling; Energy efficiency; Hardware; Servers; Streaming media; Virtualization; Application Virality; CDN; Data Center; Energy Efficiency; NFV; Resource Management; Resource Provisioning; Viral Video; Virtual Machines; Workload Consolidation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2331-9860
  • Print_ISBN
    978-1-4799-6389-8
  • Type

    conf

  • DOI
    10.1109/CCNC.2015.7158071
  • Filename
    7158071