• DocumentCode
    57321
  • Title

    A Cloud-Oriented Content Delivery Network Paradigm: Modeling and Assessment

  • Author

    Papagianni, C. ; Leivadeas, A. ; Papavassiliou, S.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
  • Volume
    10
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept.-Oct. 2013
  • Firstpage
    287
  • Lastpage
    300
  • Abstract
    Cloud-oriented content delivery networks (CCDNs) constitute a promising alternative to traditional content delivery networks. Exploiting the advantages and principles of the cloud, such as the pay as you go business model and geographical dispersion of resources, CCDN can provide a viable and cost-effective solution for realizing content delivery networks and services. In this paper, a hierarchical framework is proposed and evaluated toward an efficient and scalable solution of content distribution over a multiprovider networked cloud environment, where inter and intra cloud communication resources are simultaneously considered along with traditional cloud computing resources. To efficiently deal with the CCDN deployment problem in this emerging and challenging computing paradigm, the problem is decomposed to graph partitioning and replica placement problems while appropriate cost models are introduced/adapted. Novel approaches on the replica placement problem within the cloud are proposed while the limitations of the physical substrate are taken into consideration. The performance of the proposed hierarchical CCDN framework is assessed via modeling and simulation, while appropriate metrics are defined/adopted associated with and reflecting the interests of the different identified involved key players.
  • Keywords
    cloud computing; graph theory; cloud computing resource; cloud-oriented content delivery network paradigm; content distribution; graph partitioning; hierarchical CCDN framework; hierarchical framework; networked cloud environment; replica placement problem; Cloud computing; Computational modeling; Content distribution networks; Measurement; Quality of service; Servers; Substrates; Content delivery network; cloud computing; networked cloud; replica placement;
  • fLanguage
    English
  • Journal_Title
    Dependable and Secure Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5971
  • Type

    jour

  • DOI
    10.1109/TDSC.2013.12
  • Filename
    6461891