dc.creator | Hossain, Gm Tareq | |
dc.date.accessioned | 2020-08-22T20:36:48Z | |
dc.date.available | 2012-02-18 | |
dc.date.issued | 2011-08-22 | |
dc.identifier.uri | https://etd.library.vanderbilt.edu/etd-07272011-151748 | |
dc.identifier.uri | http://hdl.handle.net/1803/13650 | |
dc.description.abstract | The recent advancement in compression techniques
and networking technologies have resulted in
wide deployment of novel content distribution applications. These applications enable the
end-users to have ubiquitous access to media streaming services such as live broadcasting, video-on-demand, and video conferencing. Peer-to-peer (P2P) has become the most popular means
for media distribution because it provides an application-layer platform that can abstract the underlying network heterogeneity. However, the lack of dedicated bandwidth means that P2P
systems must implement proper
resource-allocation techniques to optimally
utilize available bandwidth.
In the thesis, we present bandwidth optimization algorithms for two types of media streams: Continuous and Scalable. In continuous stream,
we present an optimization algorithm based on Convex Optimization framework. For scalable stream, we present a distributed
message-passing framework for optimization using sum-product update algorithm. Advantage of this approach over existing heuristic-based algorithm is that the optimization algorithm itself is independent of the underlying constraints. The algorithm iteratively updates resource allocation decision based on a given set of codewords. The
codewords are binary representation of various network and video constraints. Therefore, any number of constraints can be used to generate a set of codewords without modifying the algorithm. | |
dc.format.mimetype | application/pdf | |
dc.subject | distributed | |
dc.subject | peer-to-peer | |
dc.subject | layered | |
dc.subject | scalable video | |
dc.subject | optimization | |
dc.subject | multimedia | |
dc.title | Multimedia Streaming Rate Optimization in Peer-to-peer Network | |
dc.type | dissertation | |
dc.contributor.committeeMember | Kenneth R. Pence | |
dc.contributor.committeeMember | William H. Robinson | |
dc.contributor.committeeMember | Aniruddha Gokhale | |
dc.contributor.committeeMember | Yuan Xue | |
dc.type.material | text | |
thesis.degree.name | PHD | |
thesis.degree.level | dissertation | |
thesis.degree.discipline | Computer Science | |
thesis.degree.grantor | Vanderbilt University | |
local.embargo.terms | 2012-02-18 | |
local.embargo.lift | 2012-02-18 | |
dc.contributor.committeeChair | Yi Cui | |