• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在媒体云中为实时直播部署保证外部带宽的媒体服务器集群。

Deploying external bandwidth guaranteed media server clusters for real-time live streaming in media cloud.

机构信息

MOEKLINNS Lab, Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China.

出版信息

PLoS One. 2019 Apr 3;14(4):e0214809. doi: 10.1371/journal.pone.0214809. eCollection 2019.

DOI:10.1371/journal.pone.0214809
PMID:30943263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6447193/
Abstract

The cloud-based media streaming service is a promising paradigm for multimedia applications. It is attractive to media streaming service providers, who wish to deploy their media server clusters in a media cloud at reduced cost. Since the real-time live streaming service is both a bandwidth-intensive and quality-sensitive application, how to optimize the internal bandwidth utilization of a data center network (DCN) as well as guarantee the external bandwidth of the real-time live streaming application, is a key issue of deploying virtual machine (VM)-hosted media server cluster in a media cloud. Therefore, in this study, we propose an external-bandwidth-guaranteed media server cluster deployment scheme in media cloud. The approach simultaneously considers the outside bandwidth requirement of a tree-based media server cluster for live streaming and the intra-bandwidth consumption of a DCN. The proposed scheme models the optimal problem as a new terminal-Steiner-tree-like problem and provides an approximate algorithm for placing the media servers. Our evaluation results show that the proposed scheme guarantees the external bandwidth requirement of a real-time live streaming application, at the same time, greatly reduces the intra-bandwidth utilization of a media cloud with different DCN structures.

摘要

基于云的媒体流服务是多媒体应用的一种有前途的范例。它对媒体流服务提供商具有吸引力,这些提供商希望以降低的成本在媒体云中部署其媒体服务器集群。由于实时流媒体服务既是带宽密集型又是质量敏感型应用,因此如何优化数据中心网络(DCN)的内部带宽利用率以及保证实时流媒体应用的外部带宽,是在媒体云中部署虚拟机(VM)托管媒体服务器集群的关键问题。因此,在这项研究中,我们提出了一种在媒体云中保证外部带宽的媒体服务器集群部署方案。该方法同时考虑了基于树的媒体服务器集群的实时流媒体的外部带宽要求和 DCN 的内部带宽消耗。所提出的方案将最优问题建模为一个新的终端-斯坦纳树问题,并提供了一种用于放置媒体服务器的近似算法。我们的评估结果表明,所提出的方案保证了实时流媒体应用的外部带宽要求,同时,大大降低了具有不同 DCN 结构的媒体云的内部带宽利用率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/bed57b189892/pone.0214809.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/f6c42afbb0cd/pone.0214809.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/639d26f0e8b7/pone.0214809.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/2b50056a16e2/pone.0214809.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/64039fbd22ae/pone.0214809.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/bed57b189892/pone.0214809.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/f6c42afbb0cd/pone.0214809.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/639d26f0e8b7/pone.0214809.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/2b50056a16e2/pone.0214809.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/64039fbd22ae/pone.0214809.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea19/6447193/bed57b189892/pone.0214809.g005.jpg

相似文献

1
Deploying external bandwidth guaranteed media server clusters for real-time live streaming in media cloud.在媒体云中为实时直播部署保证外部带宽的媒体服务器集群。
PLoS One. 2019 Apr 3;14(4):e0214809. doi: 10.1371/journal.pone.0214809. eCollection 2019.
2
Delay - aware bandwidth estimation and intelligent video transcoder in mobile cloud.移动云中的延迟感知带宽估计与智能视频转码器
Peer Peer Netw Appl. 2021;14(4):2038-2060. doi: 10.1007/s12083-021-01134-1. Epub 2021 May 1.
3
Design and implementation of streaming media server cluster based on FFMpeg.基于FFmpeg的流媒体服务器集群设计与实现
ScientificWorldJournal. 2015;2015:963083. doi: 10.1155/2015/963083. Epub 2015 Feb 3.
4
An Efficient Virtual Machine Consolidation Scheme for Multimedia Cloud Computing.一种用于多媒体云计算的高效虚拟机整合方案。
Sensors (Basel). 2016 Feb 18;16(2):246. doi: 10.3390/s16020246.
5
LiveObj: Object Semantics-based Viewport Prediction for Live Mobile Virtual Reality Streaming.基于对象语义的移动实时虚拟现实直播视口预测
IEEE Trans Vis Comput Graph. 2021 May;27(5):2736-2745. doi: 10.1109/TVCG.2021.3067686. Epub 2021 Apr 15.
6
Fingerprint multicast in secure video streaming.安全视频流中的指纹多播
IEEE Trans Image Process. 2006 Jan;15(1):12-29. doi: 10.1109/tip.2005.860356.
7
Server Consolidation Based on Culture Multiple-Ant-Colony Algorithm in Cloud Computing.云计算中基于文化多蚁群算法的服务器整合
Sensors (Basel). 2019 Jun 17;19(12):2724. doi: 10.3390/s19122724.
8
Brain Storm Optimization Graph Theory (BSOGT) and Energy Resource Aware Virtual Network Mapping (ERVNM) for Medical Image System in Cloud.基于脑暴优化图论的云环境下医学影像系统的能量资源感知虚拟网络映射(BSOGT 和 ERVNM)
J Med Syst. 2019 Jan 8;43(2):37. doi: 10.1007/s10916-018-1155-7.
9
Supporting seamless mobility for P2P live streaming.支持对等直播的无缝移动性。
ScientificWorldJournal. 2014;2014:134391. doi: 10.1155/2014/134391. Epub 2014 May 19.
10
New architecture for MPEG video streaming system with backward playback support.具有向后播放支持的MPEG视频流系统的新架构。
IEEE Trans Image Process. 2007 Sep;16(9):2169-83. doi: 10.1109/tip.2007.902330.