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With the rapid development of wireless networking and mobile devices, anytimeand anywhere data access becomes readily available nowadays. Given thecrowdsourced content capturing and sharing, the preferred content lengthbecomes shorter and shorter, even for such multimedia data as video. Arepresentative is Twitter's Vine service, which, mainly targeting mobile users,enables them to create ultra-short video clips and instantly post and sharewith their followers. In this paper, we present an initial study on this newgeneration of instant video clip sharing service enabled by mobile platformsand explore the potentials towards its further enhancement. We closelyinvestigate its unique mobile interface, revealing the key differences betweenVine-enabled anytime anywhere data access patterns and that of traditionalcounterparts. We then examine the scheduling policy to maximize the userwatching experience as well as the efficiency on the monetary and energy costs.We show that the generic scheduling problem involves two subproblems, namely,pre-fetching scheduling and watch-time download scheduling, and developeffective solutions towards both of them. The superiority of our solution isdemonstrated by extensive trace-driven simulations. To the best of ourknowledge, this is the first work on modeling and optimizing the instant videoclip sharing on mobile devices.

Mobile Instant Video Clip Sharing: Modeling and Enhancing View Experience