Centralized and Distributed Protocols for Tracker-Based Dynamic Swarm Management

被引:5
|
作者
Dan, Gyorgy [1 ]
Carlsson, Niklas [2 ]
机构
[1] KTH Royal Inst Technol, Sch Elect Engn, S-10044 Stockholm, Sweden
[2] Linkoping Univ, S-58183 Linkoping, Sweden
关键词
BitTorrent performance; content popularity; peer-to-peer overlay management; tracker-based protocol; PEER;
D O I
10.1109/TNET.2012.2198491
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With BitTorrent, efficient peer upload utilization is achieved by splitting contents into many small pieces, each of which may be downloaded from different peers within the same swarm. Unfortunately, piece and bandwidth availability may cause the file-sharing efficiency to degrade in small swarms with few participating peers. Using extensive measurements, we identified hundreds of thousands of torrents with several small swarms for which reallocating peers among swarms and/or modifying the peer behavior could significantly improve the system performance. Motivated by this observation, we propose a centralized and a distributed protocol for dynamic swarm management. The centralized protocol (CSM) manages the swarms of peers at minimal tracker overhead. The distributed protocol (DSM) manages the swarms of peers while ensuring load fairness among the trackers. Both protocols achieve their performance improvements by identifying and merging small swarms and allow load sharing for large torrents. Our evaluations are based on measurement data collected during eight days from over 700 trackers worldwide, which collectively maintain state information about 2.8 million unique torrents. We find that CSM and DSM can achieve most of the performance gains of dynamic swarm management. These gains are estimated to be up to 40% on average for small torrents.
引用
收藏
页码:297 / 310
页数:14
相关论文
共 50 条
  • [1] An analytical framework for distributed and centralized mobility management protocols
    Mohammed Balfaqih
    Zain Balfaqih
    Vladimir Shepelev
    Soltan A. Alharbi
    Waheb A. Jabbar
    Journal of Ambient Intelligence and Humanized Computing, 2022, 13 : 3393 - 3405
  • [2] An analytical framework for distributed and centralized mobility management protocols
    Balfaqih, Mohammed
    Balfaqih, Zain
    Shepelev, Vladimir
    Alharbi, Soltan A.
    Jabbar, Waheb A.
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 13 (7) : 3393 - 3405
  • [3] An analytical framework for distributed and centralized mobility management protocols
    Balfaqih, Mohammed
    Balfaqih, Zain
    Shepelev, Vladimir
    Alharbi, Soltan A.
    Jabbar, Waheb A.
    Journal of Ambient Intelligence and Humanized Computing, 2022, 13 (07) : 3393 - 3405
  • [4] CONSTIPATION MANAGEMENT STRATEGIES: CONSUMER PREFERENCES AND ACTIVITY TRACKER-BASED BEHAVIOR
    Lange, Robert
    Trasy, Anjali
    Tran, Jennifer L.
    Lee, Wei-Nchih
    Kumar, Shefali
    Juusola, Jessie
    Kammann, Petra
    GASTROENTEROLOGY, 2019, 156 (06) : S599 - S599
  • [5] A Tracker-based Cache Utilization Strategy in CCN
    Liu Hongbao
    Wu Muqing
    Qian, Hu
    Li, Peng
    Ning, Wang
    2015 IEEE 26TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2015, : 1442 - 1446
  • [6] Introduction of Centralized and Distributed Routing Protocols
    He Xin
    2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, : 2698 - 2701
  • [7] Tracker-Based Adaptive Schemes for Optimal Waveform Selection
    Cabrera, Joao B. D.
    2014 IEEE RADAR CONFERENCE, 2014, : 298 - 302
  • [8] Analysis of tracker performance models for centralized and distributed tracking
    Coraluppi, S
    2005 7th International Conference on Information Fusion (FUSION), Vols 1 and 2, 2005, : 1404 - 1411
  • [9] TREATMENT OF MEASUREMENT VARIANCE FOR STAR TRACKER-BASED ATTITUDE ESTIMATION
    Hogan, Erik A.
    Woo, Byoungsam
    ASTRODYNAMICS 2017, PTS I-IV, 2018, 162 : 1141 - 1159
  • [10] ODX: A Fitness Tracker-Based Device for Continuous Bacterial Growth Monitoring
    Yallapragada, Venkata V. B.
    Gowda, Uday
    Wong, David
    O'Faolain, Liam
    Tangney, Mark
    Devarapu, Ganga C. R.
    ANALYTICAL CHEMISTRY, 2019, 91 (19) : 12329 - 12335