Distributed Adaptive Protocols for Information Dissemination in Large-Scale Communication Systems

被引:2
|
作者
Shetty, Sachin [1 ]
Song, Min [2 ]
Wang, Jun [2 ]
机构
[1] Rowan Univ, Glassboro, NJ 08028 USA
[2] Old Dominion Univ, Norfolk, VA 23529 USA
关键词
D O I
10.1109/MUE.2009.56
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
One approach for information dissemination in large-scale communication systems is using epidemic protocols. Current epidemic protocols, however, adopt a constant fanout policy, which does not enable end users to control the information dissemination process. For distributed applications that need to compute a global function within a pre-determined response time, better procedures to control the information dissemination process have to be developed. In this paper, we introduce two distributed adaptive epidemic protocols using a dynamic fanout scheme. They are named Round-Based dynamic fanout (RBdf) and Cluster-Based dynamic fanout (CBdf). In RBdf, the network topology is flat and each node transmits a message with a varied fanout every round. In CBdf, the network topology is hierarchical, and the fanout values in every cluster differ within the same round. The main objectives are to ensure that peers receive messages within a bounded latency and that the system message overhead is a bounded value. The performance of the proposed protocols are verified through both theoretical and simulation studies.
引用
收藏
页码:279 / +
页数:2
相关论文
共 50 条
  • [1] Analysis of large-scale distributed information systems
    Hellerstein, JL
    Jayram, TS
    Squillante, MS
    [J]. 8TH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS, PROCEEDINGS, 2000, : 164 - 171
  • [2] A Distributed Swarm Optimizer With Adaptive Communication for Large-Scale Optimization
    Yang, Qiang
    Chen, Wei-Neng
    Gu, Tianlong
    Zhang, Huaxiang
    Yuan, Huaqiang
    Kwong, Sam
    Zhang, Jun
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (07) : 3393 - 3408
  • [3] Interoperability in large-scale distributed information delivery systems
    Liu, L
    Yan, LL
    Özsu, MT
    [J]. WORKFLOW MANAGEMENT SYSTEMS AND INTEROPERABILITY, 1998, 164 : 246 - 280
  • [4] High-bandwidth data dissemination for large-scale distributed systems
    Kostic, Dejan
    Snoeren, Alex C.
    Vahdat, Amin
    Braud, Ryan
    Killian, Charles
    Anderson, James W.
    Albrecht, Jeannie
    Rodriguez, Adolfo
    Vandekieft, Erik
    [J]. ACM TRANSACTIONS ON COMPUTER SYSTEMS, 2008, 26 (01):
  • [5] The power of epidemics: Robust communication for large-scale distributed systems
    Vogels, W
    van Renesse, R
    Birman, K
    [J]. ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2003, 33 (01) : 131 - 135
  • [6] Distributed Adaptive Flocking Control for Large-Scale Multiagent Systems
    Dey, Shawon
    Xu, Hao
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, : 1 - 10
  • [7] On distributed wavefront reconstruction for large-scale adaptive optics systems
    de Visser, Cornelis C.
    Brunner, Elisabeth
    Verhaegen, Michel
    [J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2016, 33 (05) : 817 - 831
  • [8] Adaptive Distributed Control for Large-Scale Systems with Unknown Interconnection
    Arevalo-Castiblanco, M. F.
    Tellez-Castro, D.
    Mojica-Nava, E.
    Sofrony, J.
    [J]. IFAC PAPERSONLINE, 2020, 53 (02): : 8738 - 8743
  • [9] Scalable multilateral communication technique for large-scale information systems
    Ragab, K
    Kaji, N
    Moriyama, K
    Mori, K
    [J]. 27TH ANNUAL INTERNATIONAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE, PROCEEDINGS, 2003, : 222 - 227
  • [10] Data and information architectures for large-scale distributed data intensive information systems
    Kerschberg, L
    Gomaa, H
    Menasce, D
    Yoon, JP
    [J]. EIGHTH INTERNATIONAL CONFERENCE ON SCIENTIFIC AND STATISTICAL DATABASE SYSTEMS, PROCEEDINGS, 1996, : 226 - 233