An Overview of Cloud Based Content Delivery Networks: Research Dimensions and State-of-the-Art
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  • 作者:Meisong Wang (22) (23)
    Prem Prakash Jayaraman (23)
    Rajiv Ranjan (23)
    Karan Mitra (24)
    Miranda Zhang (22) (23)
    Eddie Li (22) (23)
    Samee Khan (25)
    Mukkaddim Pathan (26)
    Dimitrios Georgeakopoulos (27)

    22. Research School of Computer Science
    ; ANU ; Canberra ; Australia
    23. CSIRO DP&S Flagship
    ; Canberra ; Australia
    24. Lule氓 University of Technology
    ; SE-931 87 ; Skellefte氓 ; Sweden
    25. North Dakota State University
    ; Fargo ; USA
    26. Telstra Corporation
    ; Melbourne ; Australia
    27. Royal Melbourne Institute of Technology
    ; Melbourne ; Australia
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2015
  • 出版时间:2015
  • 年:2015
  • 卷:9070
  • 期:1
  • 页码:131-158
  • 全文大小:6,397 KB
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  • 作者单位:Transactions on Large-Scale Data- and Knowledge-Centered Systems XX
  • 丛书名:978-3-662-46702-2
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
文摘
Content distribution networks (CDNs) using cloud resources such as storage and compute have started to emerge. Unlike traditional CDNs hosted on private data centers, cloud-based CDNs take advantage of the geographical availability and the pay-as-you-go model of cloud platforms. The Cloud-based CDNs (CCDNs) promote content-delivery-as-a-service cloud model. Though CDNs and CCDNs share similar functionalities, introduction of cloud impose additional challenges that have to be addressed for a successful CCDN deployment. Several papers have tried to address the issues and challenges around CDN with varying degree of success. However, to the best of our knowledge there is no clear articulation of issues and challenges problems within the context of cloud-based CDNs. Hence, this paper aims to identify the open challenges in cloud-based CDNs. In this regard, we present an overview of cloud-based CDN followed by a detailed discussion on open challenges and research dimensions. We present a state-of-the-art survey on current commercial and research/academic CCDNs. Finally, we present a comprehensive analysis of current CCDNs against the identified research dimensions.

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