CUBS: Coordinated Upload Bandwidth Sharing in Residential Networks

被引:6
|
作者
Tan, Enhua [1 ]
Guo, Lei [2 ]
Chen, Songqing [3 ]
Zhang, Xiaodong [1 ]
机构
[1] Ohio State Univ, Dept Comp Sci & Engn, Columbus, OH 43210 USA
[2] Yahoo! Inc, Sunnyvale, CA 94089 USA
[3] George Mason Univ, Dept Comp Sci, Fairfax, VA 22030 USA
来源
2009 17TH IEEE INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (ICNP 2009) | 2009年
关键词
D O I
10.1109/ICNP.2009.5339685
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Millions of residential users are widely served by cable or DSL connections with modest upload bandwidth and relatively high download bandwidth. For the increasingly important and demanding P2P applications such as VoIP, BitTorrent, and Internet streaming, stable or high upload bandwidth is. required. Inadequate upload bandwidth degrades the performance of these applications among residential users. On the other hand, our Internet measurements show that plenty of idle upload bandwidth (from 50% to 80%) is always available in a local residential network. Based on this observation, we propose a system prototype to Coordinate Upload Bandwidth Sharing (CUBS) among neighboring residential users. Specifically, the idle upload bandwidth of neighbors can be used upon a request from a demanding user. Since it has become a common practice to deploy wireless access points in a residential user's home, we have built CUBS by leveraging the support from the wireless networks. In CUBS, to discover and manage idle bandwidth, a localized overlay is constructed by the cooperative users. CUBS is application independent as the bandwidth sharing is implemented at the network layer. CUBS is also ISP transparent because the sharing of neighbors' bandwidth does not demand any additional bandwidth supplies. We have evaluated the CUBS system prototype with experiments on Internet. The experimental results demonstrate that CUBS can effectively improve the performance of upload intensive applications by more than 30%.
引用
收藏
页码:193 / +
页数:2
相关论文
共 50 条
  • [21] Fair Incentivization of Bandwidth Sharing in Decentralized Storage Networks
    Lakhani, Vahid Heidaripour
    Jehl, Leander
    Hendriksen, Rinke
    Estrada-Galinanes, Vero
    2022 IEEE 42ND INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS (ICDCSW), 2022, : 39 - 44
  • [22] Bandwidth-sharing networks under a diffusion scaling
    Urtzi Ayesta
    Michel Mandjes
    Annals of Operations Research, 2009, 170 : 41 - 58
  • [23] Bandwidth-sharing networks under a diffusion scaling
    Ayesta, Urtzi
    Mandjes, Michel
    ANNALS OF OPERATIONS RESEARCH, 2009, 170 (01) : 41 - 58
  • [24] Data Upload in LTE-A Mobile Networks by Using Shared Segmented Upload
    Tavanpour, Misagh
    Mikhail, Jan
    Moallemi, Mohammad
    Wainer, Gabriel
    Boudreau, Gary
    Casselman, Ronald
    JOURNAL OF NETWORKS, 2015, 10 (04) : 252 - 264
  • [25] QUALITATIVE PROPERTIES OF α-FAIR POLICIES IN BANDWIDTH-SHARING NETWORKS
    Shah, D.
    Tsitsiklis, J. N.
    Zhong, Y.
    ANNALS OF APPLIED PROBABILITY, 2014, 24 (01): : 76 - 113
  • [26] On the performance of bandwidth and storage sharing in information-centric networks
    Carofiglio, Giovanna
    Gallo, Massimo
    Muscariello, Luca
    COMPUTER NETWORKS, 2013, 57 (17) : 3743 - 3758
  • [27] Bandwidth allocation in peer-to-peer file sharing networks
    Creus-Mir, Albert
    Casadesus-Masanell, Ramon
    Hervas-Drane, Andres
    COMPUTER COMMUNICATIONS, 2008, 31 (02) : 257 - 265
  • [28] Sharing Bandwidth by Allocating Switch Buffer in Data Center Networks
    Zhang, Jiao
    Ren, Fengyuan
    Yue, Xin
    Shu, Ran
    Lin, Chuang
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2014, 32 (01) : 39 - 51
  • [29] Bandwidth sharing scheme in DiffServ-aware MPLS networks
    Din, Norashidah Md
    Hakimie, Hazlinda
    Fisal, Norsheila
    ICT-MICC: 2007 IEEE INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND MALAYSIA INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1 AND 2, PROCEEDINGS, 2007, : 782 - +
  • [30] Game theoretic approach for bandwidth sharing in future generation networks
    Judhajit Sanyal
    Tuhina Samanta
    Mainak Chatterjee
    Computing, 2021, 103 : 613 - 640