Optimised localisation (OpLoc) for community networks

Wahidah , Md. Shah (2013) Optimised localisation (OpLoc) for community networks. PhD thesis, UTeM.

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Abstract

In recent years, there has been a tremendous increase in the amount of video-based content distributed across the Internet; with this growth forecast to continue. A range of distribution approaches have been developed in response to this demand, including Peer-to-Peer (P2P) and Content Distribution Network (CDN). These technologies are now vital to deliver content across the Internet, in order to keep pace with user expectations and the ever growing number of video-on-demand and video streaming services now on offer. In spite of this growth in video-based services; Internet access in many parts of the world remains a challenge. This phenomenon is known as the 'digital divide', which expresses the connectivity gap between those with and without high quality access to the Internet. In response to this issue, community groups have built their own infrastructures (which we refer to as 'Community Networks' within this thesis), using technologies such as 'Wireless Mesh Networks', which involves combining wireless networking technology and ad-hoc routing protocols in order to create self-managing networks that can deliver Internet access to residents. Ordinarily these networks will have good network connectivity within the community, but may share a limited connection to the wider Internet. The use of video delivery technologies, such as P2P, within these Community Networks introduces some key challenges. The shared connection to the wider Internet may reduce the probability of successfully connecting clients with remote clients and potentially creates network bottlenecks at the backhaul connection. The use of P2P localisation strategies, which would encourage clients to connect with local clients, could also result in issues with the availability of content.

Item Type: Thesis (PhD)
Uncontrolled Keywords: computer science, computer networks
Subjects: Q Science > QA Mathematics
Divisions: Library > Tesis > FTMK
Depositing User: Salleh Mohd Nor
Date Deposited: 20 Oct 2015 06:46
Last Modified: 20 Oct 2015 06:46
URI: http://eprints.utem.edu.my/id/eprint/15051
Statistic Details: View Download Statistic

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