Collaborative hierarchical caching in cloud radio access networks

Xiuhua Li, Peiran Wu, Xiaofei Wang, Keqiu Li, Zhu Han, Victor C. M. Leung
{"title":"Collaborative hierarchical caching in cloud radio access networks","authors":"Xiuhua Li, Peiran Wu, Xiaofei Wang, Keqiu Li, Zhu Han, Victor C. M. Leung","doi":"10.1109/INFCOMW.2017.8116420","DOIUrl":null,"url":null,"abstract":"To deal with the severe challenge from explosively increasing mobile users' multimedia service requests in mobile networks, introducing cloud-based computing platform and content caching into radio access networks (RANs) has become an effective emerging technique. In this paper, we propose a collaborative hierarchical caching framework in cloud RANs (C-RANs), which minimizes the access delay of content delivery under certain specific network constraints to improve users' Quality of Service (QoS) as well as offload network traffic. Specifically, based on the formed hierarchical caching topology consisting of two tiers of content caching at the base stations and the cloud central unit (CCU), we decompose the formulated large-scale optimization problem into a series of simpler subproblems, and then propose the corresponding low-complexity distributed heuristic solutions as well as a content request routing scheme. Trace-based evaluation results demonstrate the effectiveness of the proposed framework.","PeriodicalId":306731,"journal":{"name":"2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2017.8116420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

To deal with the severe challenge from explosively increasing mobile users' multimedia service requests in mobile networks, introducing cloud-based computing platform and content caching into radio access networks (RANs) has become an effective emerging technique. In this paper, we propose a collaborative hierarchical caching framework in cloud RANs (C-RANs), which minimizes the access delay of content delivery under certain specific network constraints to improve users' Quality of Service (QoS) as well as offload network traffic. Specifically, based on the formed hierarchical caching topology consisting of two tiers of content caching at the base stations and the cloud central unit (CCU), we decompose the formulated large-scale optimization problem into a series of simpler subproblems, and then propose the corresponding low-complexity distributed heuristic solutions as well as a content request routing scheme. Trace-based evaluation results demonstrate the effectiveness of the proposed framework.
云无线接入网络中的协同分层缓存
为应对移动网络中爆炸性增长的移动用户多媒体业务需求带来的严峻挑战,在无线接入网(RANs)中引入云计算平台和内容缓存技术已成为一种有效的新兴技术。在本文中,我们提出了一种云局域网(c - ran)中的协作分层缓存框架,该框架在某些特定的网络约束下最大限度地减少了内容交付的访问延迟,从而提高了用户的服务质量(QoS)并减轻了网络流量。具体而言,基于形成的由基站和云中心单元(CCU)两层内容缓存组成的分层缓存拓扑结构,我们将制定的大规模优化问题分解为一系列更简单的子问题,然后提出相应的低复杂度分布式启发式解决方案以及内容请求路由方案。基于跟踪的评价结果证明了该框架的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信