O 2 SM: Enabling Efficient Offline Access to Online Social Media and Social Networks

Abstract

Abstract. In this paper, we consider the problem of efficient social media access on mobile devices, and propose an Offline Online Social Media (O 2 SM) Middleware to: (i) rank the social media streams based the probability that a given user views a given content item, and (ii) invest the limited resources (network, energy, and storage) on prefetching only those social media streams that are most likely to be watched when mobile devices have good Internet connectivity. The ranking scheme leverages social network information to drive a logistic regression based technique that is subsequently exploited to design an utility based content prefetching mechanism. We implemented O 2 SM and a corresponding app, oFacebook, on Android platforms. We evaluated O 2 SM via trace data gathered from a user study with real world users executing oFacebook. Our experimental results indicate that O 2 SM exhibits superior viewing performance and energy efficiency for mobile social media apps; its lightweight nature makes it easily deployable on mobile platforms.

Optimizing offline access to social network content on mobile devices

“…We present only briefly 3 here how we evaluate user-content relevance using a learning technique. The reader can find more details in our previous work [4]. This module estimates the likelihood a social content will be viewed by a user using social network information.…”

DeepOpp: Context-Aware Mobile Access to Social Media Content on Underground Metro Systems

“…To improve user experience on mobile devices, Klotski [13] enables fast selection and load time of web content by prioritizing the content most relevant to a user's preferences. O2SM [30] estimates the social content items likely to be viewed by a user, and provides user-content relevance for resource scheduling and delivery. On phone status aspects, PowerTutor [29] and BatteryExtender [19] have been designed to estimate and manage battery behaviour.…”

“…The scheduler defines the process for how often and under which conditions the mobile client will fetch and obtain new data to store in the cache. Basic scheduler such as O2SM [30] runs on a fixed interval and will make a fetch at this interval. One dimensional scheduler such as EarlyBird [25] runs on a fixed interval scheduler and will make a fetch if the current signal strength is above a set threshold.…”

Hybrid multicast-unicast streaming over mobile networks

“…The video streaming requests from the mobile devices are forwarded to the responsible resource allocator. The requests can be driven by instantaneous demands of the mobile users or by any prefeching system running inside the mobile device to prefetch video segments most likely to be played out in near future [54,48].…”