Improving content availability by request-adaptive incentive in private peer-to-peer communities

Honglei Jiang, Song Guo, Deze Zeng, Hai Jin
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Abstract

Recently, BitTorrent (BT) communities are rapidly evolving towards Private Torrent (PT) sites. The efficiency of such content sharing system depends on how well it can satisfy the requirements of users. The traditional way to improve usability is to make users extend their seeding duration by incentives like Share Ratio Enforcement (SRE). However, our measurement-based studies show its inefficiency in meeting various download requests from users. For example, some available contents have not been requested for long and some requests are not available, recognized as the “available but no request” and “request but not available” problems respectively. To make the content availability match users' download demands, we propose new incentive polices that only reward the seeding behaviors for needed torrents. This is achieved by providing users the rewarding information of seeding various contents that vary based on their interests and timeliness to the community. Our trace-driven simulation result shows the proposed “Max Cost Interval” and “Max Time Interval” policies can significantly improve the content over existing policies in a more cost-efficient way.
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在私有点对点社区中通过请求自适应激励提高内容可用性
最近,BT (BitTorrent)社区正迅速向Private Torrent (PT)网站发展。这种内容共享系统的效率取决于它能在多大程度上满足用户的需求。提高可用性的传统方法是通过Share Ratio Enforcement (SRE)等激励措施让用户延长播种时间。然而,我们基于测量的研究表明,它在满足用户的各种下载请求方面效率低下。例如,一些可用的内容长时间未被请求,而一些请求不可用,分别被识别为“可用但无请求”和“请求但不可用”问题。为了使内容的可用性与用户的下载需求相匹配,我们提出了新的激励政策,只奖励需要种子的播种行为。这是通过向用户提供播种各种内容的奖励信息来实现的,这些内容根据用户的兴趣和对社区的及时性而变化。我们的跟踪驱动模拟结果表明,建议的“最大成本间隔”和“最大时间间隔”策略可以以更经济有效的方式显著改善现有策略的内容。
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