SmartParcel: A Collaborative Data Sharing Framework for Mobile Operating Systems

Abstract

Internet based applications for Mobile Devices such as Smartphones, Tablets, PDAs, portable media players etc. work on simple one-to-one client-server data distribution model. Concomitant with growing popularity of such devices and applications, however, are increasing concerns about volume of global online digital content generated by these devices. Network traffic originating from these devices has marked a multi-fold increase over past few years and hence, the incumbent content availability and maintainability cost. In this paper we present a novel approach for mobile data offloading, "SmartParcel", by encouraging collaborative data sharing among spatio-temporally co-existing mobile devices, thus, minimizing the overall network usage and traffic. SmartParcel ensures high service availability to the users in events of unavailability of access points, unavailable or limited cellular data connections, unavailability of 3G or LTE hardware etc. We develop the technology for Android but the architecture can be extended to other available mobile software platforms. Our trace based simulation results advocate high data availability to user even with its limited participation and fewer data requests to the servers.

Mobile Device Synchronisation with Central Database based on Data Relevance

“…Beside data store, architecture contains also meta-data store where is used RDF [8]. An another interesting approach is offered in [6]. There is described an architecture that provides a collaborative data sharing among spatial-temporally co-existing mobile devices.…”

Pricing and revenue sharing mechanism for secondary redistribution of data service for mobile devices

“…Alternatively, [3] proposes a methodology that uses ad hoc nodes to forward data from their provider to their neighbors, and [4] proposes data dissemination through Wi-Fi when network is congested. Similarly in [5], the authors propose an application, "SmartParcel", to allow users to collaboratively share the meta data. For example, instead of downloading the data from a content provider (such as BBC, google, etc), a user may download the same data from a nearby smart phone.…”