Adaptive resource management for P2P live streaming systems

Adaptive resource management for P2P live streaming systems
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P2P直播系统的自适应资源管理

DOI:
10.1016/j.future.2012.09.002
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发表时间:
2013-08
期刊:
Future Generation Computer Systems
影响因子:
--
通讯作者:
Qing Fang
Qing Fang
中科院分区:
其他
文献类型:
--
作者:
Qiong Liu;Jinhong Liu;Hao Yin;Qing Fang

文献摘要

参考文献

相似文献

P2P(Peer-to-Peer)以其可伸缩性和低成本成为一种流行的流媒体直播技术。P2P流媒体系统经常使用多个频道同时向用户提供流媒体,这就给如何在这些频道之间合理地分配服务器资源带来了巨大的挑战。现有的P2P系统大多采用将服务器资源过度分配到不同渠道的方式,导致效率低、成本高。为了有效地将服务器资源分配到不同的频道,提出了一种基于流媒体质量模型的P2P直播系统的动态资源分配算法。该算法可以提高多频道P2P直播系统的频道流媒体质量,并保证极端网络条件下的频道流媒体质量。在实验中,通过跟踪数据验证了该算法的有效性。
Peer-to-Peer (P2P) has become a popular live streaming delivery technology owing to its scalability and low cost. P2P streaming systems often employ multi-channels to deliver streaming to users simultaneously, which leads to a great challenge of allocating server resources among these channels appropriately. Most existing P2P systems resort to over-allocating server resources to different channels, which results in low-efficiency and high-cost. To allocate server resources to different channels efficiently, we propose a dynamic resource allocation algorithm based on a streaming quality model for P2P live streaming systems. This algorithm can improve the channel streaming quality for multi-channel P2P live streaming system and also guarantees the streaming quality of the channels under extreme Internet conditions. In an experiment, the proposed algorithm is validated by the trace data.
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