NDLI: How P2P live streaming systems scale quickly under a flash crowd?

Content Provider	IEEE Xplore Digital Library
Author	Haibo Wu Hai Jiang Jing Liu Yi Sun Jun Li Zhongcheng Li
Copyright Year	2011
Description	Author affiliation: Inner Mongolia University, Hohhot, China (Jing Liu) \|\| Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China (Haibo Wu; Hai Jiang; Yi Sun; Jun Li; Zhongcheng Li)
Abstract	Peer-to-Peer (P2P) technology has been widely adopted by various live streaming systems recently, due to its better scalability and lower costs compared with the client-server architecture. However, P2P live streaming systems are still challenged by the flash crowd scenarios, which often occur when a great number of users suddenly arrive and compete for the limited upload bandwidth of a P2P system. In this case, users are usually subject to a long startup delay and are likely to retry multiple times before leave out of impatience. Current studies mainly focus on the measurement of practical systems and model analysis on flash crowd, but there are few specific approaches so far. In this paper, we develop a capacity-aware user access control algorithm to relieve the flash crowd problem. Firstly, we control the peers to enter the system at a proper rate, which avoids too high arrival rate slowing down the increase of system scale. Secondly, to increase the system service capacity as soon as possible, we let the peers with higher capacity enter the system ahead of the peers with lower capacity. Finally, we also consider the waiting time of peers with low capacity and let them in before they lose patience. To evaluate our algorithm, a new analysis model is also proposed. Simulation experiments and model analysis reveal that our algorithm is more effective to increase the system scale, and can achieve shorter user waiting time as well as lower reject rate.
Starting Page	1
Ending Page	8
File Size	481821
Page Count	8
File Format	PDF
ISBN	9781467300100
ISSN	10972641
e-ISBN	9781467300124
DOI	10.1109/PCCC.2011.6108083
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Access control Bandwidth Analytical models Algorithm design and analysis Peer to peer computing Data acquisition Servers capacity-aware Live streaming peer-to-peer flash crowds user access control
Content Type	Text
Resource Type	Article

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