Paper Info
Title
Optimal bandwidth allocation for hybrid Video-on-Demand streaming with a distributed max flow algorithm
Abstract
Video-on-Demand (VoD) streaming counts for the largest share of Internet traffic, and commonly relies on P2P-CDN hybrid systems. In such hybrid systems, a peer's upload bandwidth utilization is critical to P2P mode, thus the bandwidth allocation algorithm is important to the performance of VoD streaming. The current research either makes impractical assumptions, or is inefficient in real scenarios. Meanwhile some industrial practice such as additive-increase/multiplicative-decrease (AIMD) heuristic, although effective in practice, lacks theoretical foundation. This paper develops an optimal bandwidth allocation algorithm for hybrid VoD streaming. Specifically, we propose a novel Demand Driven Max-Flow Formulation, which treats each peer's bandwidth demand as the flow commodity. The proposed distributed Free-for-All Push-Lift algorithm can solve the formulation in each peer, and is free of any lock, shared memory and atomic operation. Following the theoretical analysis, we implement the algorithms in real-world VoD streaming systems. Through extensive evaluations we demonstrate that our approach can provide high-quality bandwidth allocation for hybrid VoD systems.
Year
DOI
Venue
2015
10.1016/j.comnet.2015.08.049
Computer Networks
Keywords
Field
DocType
Video-on-Demand,Streaming,Bandwidth allocation,Max flow,Distributed algorithm
Heuristic,Computer science,Bandwidth allocation,Upload,Computer network,Bandwidth (signal processing),Distributed algorithm,Dynamic bandwidth allocation,Hybrid system,Internet traffic,Distributed computing
Journal
Volume
Issue
ISSN
91
C
1389-1286
Citations 
PageRank 
References 
1
0.38
37
Authors
4
Name
Order
Citations
PageRank
Chen Tian1378.36
Jingdong Sun230.74
Weimin Wu323643.97
Yan Luo414819.24