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- Type of Document: M.Sc. Thesis
- Language: English
- Document No: 41104 (52)
- University: Sharif University of Technology, International Campus, Kish Island
- Department: Science and Engineering
- Advisor(s): Akbari, Behzad
- Abstract:
- Internet video networks have already attracted millions of Internet users, and Internet video is one of the fast growing Internet services. The peer-to-peer (P2P) network is an efficient solution to supporting large scale video streaming on the Internet. P2P networks can deliver live multimedia content to millions of users with low cost at any time, and at anywhere they want. In this thesis, we investigate solutions to enhancing the performance of the unstructured mesh-based. Locality awareness or network proximity is one of the essential characteristics of P2P networks. In live P2P video streaming we face to some challenges like bandwidth heterogeneity of peers, and peer churn. In the P2P Internet live video service for large scaled without locality awareness the Internet backbone routers quickly exceed when the number of peers participating in the network increases. The churn of peers causes the mismatching between the overlay and underlay networks. This thesis presents locality awareness in the unstructured P2P networks in a hierarchical approach for live video streaming. We design efficient and fully decentralized solutions to achieving performance optimization in P2P media streaming. In this thesis we have pure P2P systems that some peers act as trackers, and keep a list of active peers in the network. To select its neighbors by hierarchical approaches each peer finds the nearest trackers to itself in terms of underlay hop count and then by using an algorithm can select its appropriate neighbors
- Keywords:
- Peer-to-Peer Network ; Video Streaming ; Locality Awareness ; Overlay Network
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