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An End-Systems Supported Highly Distributed Content Delivery Network

  • Conference paper
Distributed Computing and Internet Technology (ICDCIT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4882))

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Abstract

Commercial Content Delivery Networks (CDN) compete each other and are forced to set up costly infrastructure around the globe to effectively deliver Web content to the end-users. Huge financial cost involved in setting up commercial CDN compels the commercial CDN providers to charge high remuneration from their clients (the content providers). Academic models of peer-to-peer CDNs aim to reduce the financial cost of content distribution by forming volunteer group of servers around the globe. But their efficiency is at the mercy of the volunteer peers whose commitment is not ensured in their design. We propose a new architecture that will make use of the existing resources of common Internet users in terms of storage space, bandwidth and Internet connectivity to create a Distributed Content Delivery Network (DCDN). The profit pool generated by the infrastructure savings will be shared among the participating nodes (DCDN surrogates) which will function as an incentive for them to support DCDN.

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Authors and Affiliations

  1. Distributed Systems and Networking, School of Computer Science, RMIT University, Melbourne 3000, Australia

    Jaison Paul Mulerikkal & Ibrahim Khalil

Authors
  1. Jaison Paul Mulerikkal
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  2. Ibrahim Khalil
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Editor information

Tomasz Janowski Hrushikesha Mohanty

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© 2007 Springer-Verlag Berlin Heidelberg

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Mulerikkal, J.P., Khalil, I. (2007). An End-Systems Supported Highly Distributed Content Delivery Network. In: Janowski, T., Mohanty, H. (eds) Distributed Computing and Internet Technology. ICDCIT 2007. Lecture Notes in Computer Science, vol 4882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77115-9_18

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  • DOI: https://doi.org/10.1007/978-3-540-77115-9_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77112-8

  • Online ISBN: 978-3-540-77115-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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