Fine Tuning of the BitCover Algorithm for Interactive VoD Streaming over 5G Cellular Networks

Author:

Rodrigues Carlo Kleber da S.ORCID,Rocha VladimirORCID

Abstract

The BitCover algorithm is an adaptation of the popular BitTorrent algorithm for interactive Video-on-Demand (VoD) streaming over 5G cellular networks. This algorithm has already proven to be an effective solution for granting adequate bandwidth utilization within each cell site, which turns out to be essential for unlocking the whole potential of the 5G technology. Despite its attractive performance, we though wonder if there is still space for optimization since four of its configuration parameters are identical to those of the original BitTorrent, being set with the same numerical values. These parameters are δt (unchoking time), Np (number of neighbors a peer has), y (number of data slots a peer’s upload capacity is divided into), and z (number of peers randomly selected in optimistic unchoking). To tackle this issue, we therefore carry out simulation experiments to hopefully determine a more adequate configuration setup for the three first parameters just mentioned, leaving the specific analysis of the last parameter (i.e., z) implicit since it is directly related to the third parameter (i.e., y). Among the major findings, we highlight that BitCover’s original performance is enhanced at about 16.7% in terms of download rate, and at 50.1% in terms of discontinuity time. To complement this study, we also present a detailed competitive analysis against two other recent literature proposals, mainly to show the overall effectiveness of the optimized version of the BitCover algorithm. Within this context, our pivotal contribution is to offer helpful insights for designing protocols aimed at 5G cellular networks. Finally, this paper ends with general conclusions and outlines future directions.

Publisher

Sociedade Brasileira de Computacao - SB

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3