Abstract—Since last four decades, internet exploration and innovation has touched new horizons but all that advancement in realm of internet was based on peer to peer interaction or mostly client server topology. There were many loop holes in such configuration as all the communication was machine identified and all the available resources in the network were not fully utilized, therefore a more vigorous content centric model was proposed and is expanding at a very fast pace in which all the data is named and could be searched on the basis of name, instead of machine address. There are many open challenges faced by content centric networks, one is naming of huge amount of data available and efficiently addressing this data dynamically and caching of huge information and its fast addressing. The other issue of importance is congestion control where no host to host based communication is taking place and the nodes are searching and transferring required data in an independent fashion. The economical solution to the problem of global deployment of this new technique. In our approach, we have suggested and implemented a new model that provides remedies for current bottlenecks in CCN by incorporating the advantages offered by cloud computing with little overheads. We have divided content centric networks in the form of tiers based on the similarity of information that they handle every day in close vicinity, the tiers are further divided in to clusters whose size and number would be dependent upon the number of users. The new approach has been given the names clustered CCN or CCCN.
Index Terms—Clustered content centric networks, CCN.
The authors are with Mirpur University of Science and Technology, Mirpur AJK 10250, Pakistan (e-mail: wahab.ali@must.edu.pk, umairsundhu@gmail.com, asifrazabutt@gmail.com).
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Cite:W. A. Gulzar, M. U. J. A Sundhu, and A. R. Butt, "A New Tier Based Approach for Clustered Content Centric Networks Implementing Cloud Computing," Journal of Advances in Computer Networks vol. 2, no. 3, pp. 222-228, 2014.
