视频云中基于时间约束的延展性带宽预留策略  

Time-constrained malleable reservation for network bandwidth in video cloud

作　　者：张海旸[1] 

机构地区：[1]北京邮电大学智能通信软件与多媒体北京市重点实验室,北京100876

出　　处：《吉林大学学报（工学版）》2015年第6期2014-2019,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(61100207);中央高校基本科研业务费专项项目(2013RC0302)

摘　　要：针对视频云中大规模视频流服务,带宽提前预留存在阻塞率高、带宽利用率低等问题,提出了一种基于时间约束的延展性带宽预留策略。利用视频流服务对带宽资源需求的可伸缩性,定义了有限延展带宽预留模型。基于此模型提出基于时间约束的带宽碎片调整策略,以减少碎片率。鉴于视频流多径服务的特点,提出多径模式下的预留算法,以提高预留成功率。实验结果表明:与其他带宽预留策略相比,本文方法可以在保证视频服务QoS的前提下,获得更低的带宽预留阻塞率。In large-scale video stream service in video cloud,advanced reservation can cause high blocking probability and low bandwidth utilization.To overcome such problems,investigation on time-constrained malleable bandwidth reservation scheme is carried out.First,a finite malleable reservation model is defined.Then,based on this model,a time-constrained bandwidth fragment adjusting algorithm is proposed to improve bandwidth utilization.Finally,considering multi-path service of video streams in video cloud,the reservation algorithm is explored into multi-path mode,thus improving the success probability of bandwidth reservation.Simulation results show that,compared with other bandwidth reservation schemes,the proposed solution can effectively guarantee the QoS of video service while with lower blocking probability of bandwidth reservation.

关 键 词：计算机应用 视频云 网络带宽 延展性预留 时间约束 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]