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SNACS: Social Network-Aware Cloud Assistance for Online Propagated Video Sharing

机译:SNACS:用于在线传播视频共享的社交网络感知云协助

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The deep penetration of Online Social Networks (OSNs) has made them as major portals for video information sharing. Propagated through chains of friends, the coverage of OSN-shared videos can be much broader with stronger micro- and macro-dynamics. Given that the contents are still hosted by external Video Sharing Sites (VSSes), such distinct access patterns from OSN users have created significant new challenges to VSSes. In this paper, we present SNACS, a cost-effective social network-aware cloud assistance for video sharing. The SNACS module sits between VSSes and an OSN, and is managed by the OSN to improve its users' video access experience using both centralized cloud resources and edge servers. Given the strong dynamics of the access patterns, we are particularly interested in the content management and update strategies in the SNACS' implementation. Motivated by real world data traces, we show that conventional cache replacement can be quite inefficient in this context. We then develop optimal offline algorithms with minimized cache misses and replacements, which also motivate an online solution that makes effective use of the video sharing patterns in the OSN. Our design has been extensively evaluated and its superiority has been validated under diverse network and user configurations.
机译:在线社交网络(OSN)的深入渗透使其成为视频信息共享的主要门户。通过朋友链传播,OSN共享视频的覆盖范围更广,具有更强的微观和宏观动力学。鉴于内容仍由外部视频共享站点(VSSes)托管,来自OSN用户的这种不同的访问模式给VSSes带来了重大的新挑战。在本文中,我们介绍了SNACS,这是一种具有成本效益的社交网络感知云辅助,用于视频共享。 SNACS模块位于VSS和OSN之间,由OSN管理,以使用集中式云资源和边缘服务器来改善其用户的视频访问体验。鉴于访问模式的强大动态性,我们对SNACS实施中的内容管理和更新策略特别感兴趣。受现实世界中数据跟踪的影响,我们表明在这种情况下,常规的缓存替换效率可能非常低。然后,我们开发具有最少高速缓存未命中和替换的最佳脱机算法,这也激发了一种在线解决方案,该解决方案可以有效利用OSN中的视频共享模式。我们的设计经过了广泛的评估,其优越性已在各种网络和用户配置下得到验证。

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