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Collaborative Multi-bitrate Video Caching and Processing in Mobile-Edge\n Computing Networks

2016/12/05 by Tuyen X. Tran, Parul Pandey, Tran, Tuyen X. +5
Computer Science · #Caching and Content Delivery #FOS: Computer and information sciences #Image and Video Quality Assessment #Networking and Internet Architecture (cs.NI) #Video Coding and Compression Technologies

paper · pdf · doi:10.48550/arxiv.1612.01436

openalex publication_date 2016/12/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Recently, Mobile-Edge Computing (MEC) has arisen as an emerging paradigm that\nextends cloud-computing capabilities to the edge of the Radio Access Network\n(RAN) by deploying MEC servers right at the Base Stations (BSs). In this paper,\nwe envision a collaborative joint caching and processing strategy for on-demand\nvideo streaming in MEC networks. Our design aims at enhancing the widely used\nAdaptive BitRate (ABR) streaming technology, where multiple bitrate versions of\na video can be delivered so as to adapt to the heterogeneity of user\ncapabilities and the varying of network connection bandwidth. The proposed\nstrategy faces two main challenges: (i) not only the videos but their\nappropriate bitrate versions have to be effectively selected to store in the\ncaches, and (ii) the transcoding relationships among different versions need to\nbe taken into account to effectively utilize the processing capacity at the MEC\nservers. To this end, we formulate the collaborative joint caching and\nprocessing problem as an Integer Linear Program (ILP) that minimizes the\nbackhaul network cost, subject to the cache storage and processing capacity\nconstraints. Due to the NP-completeness of the problem and the impractical\noverheads of the existing offline approaches, we propose a novel online\nalgorithm that makes cache placement and video scheduling decisions upon the\narrival of each new request. Extensive simulations results demonstrate the\nsignificant performance improvement of the proposed strategy over traditional\napproaches in terms of cache hit ratio increase, backhaul traffic and initial\naccess delay reduction.\n

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