Title :
SNACS: Social Network-Aware Cloud Assistance for Online Propagated Video Sharing
Author :
Haitao Li ; Yanfang Le ; Feng Wang ; Jiangchuan Liu ; Ke Xu
Author_Institution :
Simon Fraser Univ., Burnaby, BC, Canada
Abstract :
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.
Keywords :
cache storage; cloud computing; social networking (online); video retrieval; OSN-shared videos; SNACS assistance; VSSes; access pattern dynamics; cache miss; cache replacement; centralized cloud resources; content management strategy; edge servers; network configuration; online propagated video sharing; social network-aware cloud assistance; update strategy; user configuration; video access experience; video information sharing; video sharing sites; Algorithm design and analysis; Approximation algorithms; Schedules; Scheduling; Scheduling algorithms; Servers; YouTube; Cloud; Online Social Network; Video Sharing;
Conference_Titel :
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4673-7286-2
DOI :
10.1109/CLOUD.2015.120