Single video performance analysis for video-on-demand systems
Yang, James
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https://hdl.handle.net/2142/44239
Description
Title
Single video performance analysis for video-on-demand systems
Author(s)
Yang, James
Issue Date
2013-05-24T21:55:14Z
Director of Research (if dissertation) or Advisor (if thesis)
Hajek, Bruce
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Cache delivery
Video-on-demand (VoD)
Peer-to-peer (P2P)
random network topology
Content placement
Adaptive placement
Fractional storage
Integer relaxation
Hybrid placement
Single video analysis
Multiple video analysis
Decoupled systems
Primal-dual algorithm
General algorithm
Maximum distance separable (MDS) codes
Abstract
We study the content placement problem for cache delivery video-on-demand systems under static random network topologies with fixed heavy-tailed video demand. The performance measure is the amount of server load; we wish to minimize the total download rate for all users from the server and maximize the rate from caches. Our approach reduces the analysis for multiple videos to consideration of decoupled systems with only a single video. For each placement policy, insights gained from the single video analysis carry back to the original multiple video content placement problem. Finally, we propose a hybrid placement technique that achieves near optimal performance with less complexity.
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