Minimum complexity APP prioritization by bandwidth apportioning in smart phones

Abstract

The volume of best effort traffic is exploded by rapid adoption of peer-to-peer and content applications. Smart phone consumers are spending more times on applications which include video and music streaming, playing games, video chatting, social media like uploading photos to Facebook, Twitter etc. Many such applications are always running in background and sometimes come in foreground based on user preferences. In this work we propose an approach to improve the user experience by giving more bandwidth to preferred applications. We describe a preliminary model explaining our technique in detail. Further, we validate our proposal using real time test setup with Wireshark traffic analyzer, and results are detailed with respect to (1) Percentage of network share (2) Jitter experience and (3) Time taken for the algorithm to adapt. Proposed algorithm has been tested in two different platforms such as Android and Tizen. Our preliminary observations show that our proposed algorithm allocates more bandwidth to high priority applications while maintaining the low priority APPs are intact with above minimum bandwidth. Our approach gives users better jitter free experience for video streaming (high priority) applications in both Android (KitKat) and Tizen (Z1) platforms.