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	PROB: a Lightweight Approach for Fast Content Propagation in P2P Networks
	Yang, Zhi ; Dai, Yafei
	2013
英文摘要	Nowadays, content sharing using P2P networks is one of the most important Internet applications. As these networks gain more popularity, boosting the propagation of newly-uploaded objects becomes critically important. Rapid propagation would enable networks to protect object availability against seed departure, and make themselves the ideal distribution platform for user-generated content. Through real experience, we find that even adopting a simple word-of-mouth exchange can enhance content spread, especially by exposing users to diverse content and speeding up the propagation of objects with high potential demand. To further exploit such benefits, a more intelligent exchange approach is needed to balance propagation speed and diversity through the ever-growing amount of objects. Hence, we propose a lightweight peer selection algorithm, PROB (PROportional random Browse). PROB adopts a model-driven approach to optimize the expected downloading throughput while maintaining diversity. Moreover, it achieves the balance in a stateless and probabilistic manner, thus reducing complexity and enabling practical deployment. Our trace based simulation and real deployment demonstrate that PROB can significantly speedup content spread compared with random/deterministic approaches.; Computer Science, Hardware & Architecture; Computer Science, Theory & Methods; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1109/P2P.2013.6688711
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/292541]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Yang, Zhi,Dai, Yafei. PROB: a Lightweight Approach for Fast Content Propagation in P2P Networks. 2013-01-01.

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