Abstract
In mobile cloud computing (MCC) systems, the resource in both the cloud and the mobile network should be carefully managed. Cloud resource management and radio resource management have traditionally been addressed separately in previous works. In this paper, we propose to jointly study dynamic cloud and radio resource management so as to improve end-to-end performance of adaptive video transmissions in MCC systems. Video application quality of service performance, distortion, is adopted as the performance measure. An important video application layer parameter, intra-refreshing rate, is optimized to improve the video distortion performance. We formulate the problem as a stochastic restless bandits optimization problem, which facilitates the distributed MCC architecture and simplifies the computation and implementation due to its “indexibility” property. Simulation results are presented to show the effectivenes of the proposed scheme.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
