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CANCELLED Models for Content Distribution: Evaluating the Performance of Content-Centric Networks

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THIS EVENT HAS BEEN CANCELLED DUE TO INCLEMENT WEATHER/FLIGHT DELAYS.

Abstract:
The Internet was specifically conceived in the late ’60s to interconnect remote machines, creating an end-to-end means of communication originally used to share the computational power available remotely. However, much has changed from that time, and nowadays this end-to-end communication model does not seem to be appropriate anymore.

In this seminar, we present the models we designed to study the performance of the novel Content-Centric Networking (CCN) paradigm, with a special attention towards the object placement and content routing problems. Our results clearly show that even by deploying small caches in a CCN, significant performance gains can be obtained with respect to the traditional techniques used in an IP-based network to perform content distribution.

The adoption of CCN can also benefit the wireless access network. In particular, congested bottleneck links such as backhaul connections of small cells' access points can experience relevant performance gains due to the native multicast features and caching capabilities provided by CCN. In the presentation we will also describe the incentive mechanism we proposed to stimulate access point owners to offer their unexploited bandwidth and storage resources to a content provider.

Speaker Bio:
Michele Mangili received his M.S. degree in Computer Science and Engineering from the University of Bergamo (Italy) in 2012. He is currently pursuing an international Ph.D. in Information Engineering at LRI (Laboratory for Computer Science), Paris-Sud University and DEIB Politecnico di Milano. His current main research interests are Content-Centric Networks; Network Modelling, Planning and Optimization. He is a student member of the IEEE Communication Society.

Status

  • Workflow Status:Published
  • Created By:Ashlee Gardner
  • Created:11/25/2013
  • Modified By:Fletcher Moore
  • Modified:04/13/2017

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