Information Dissemination in Distributed Organic Computing Systems with Distributed Hash Tables

被引:0
|
作者
Roth, Michael [1 ]
Schmitt, Julia [1 ]
Kluge, Florian [1 ]
Ungerer, Theo [1 ]
机构
[1] Univ Augsburg, Dept Comp Sci, D-86159 Augsburg, Germany
关键词
organic computing; information dissemination; peer-to-peer network; broadcast;
D O I
10.1109/ICCSE.2012.82
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Decision making in a self-managing distributed system requires information about the system's state. Accurate and timely information enables the overall system to respond better to state changes. Distributed systems can use different network protocols to connect the nodes. Since there is no guarantee that all protocols are able to send broadcasts or that broadcasts can be sent over different protocols we use distributed hash tables to enable an application layer broadcast, which only sends unicast messages in the network layer to spread node status information in a distributed system. Our research shows that we can spread information without sending unnecessary messages. By choosing the node IDs systematically, instead of generating them randomly, we can influence the network usage in badly connected network segments.
引用
收藏
页码:554 / 561
页数:8
相关论文
共 50 条
  • [31] Stochastic Load Rebalancing in Distributed Hash Tables
    Chang, Che-Wei
    Hsiao, Hung-Chang
    2011 IEEE 17TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS), 2011, : 841 - 846
  • [32] INFORMATION DISSEMINATION IN DISTRIBUTED SYSTEMS WITH FAULTY UNITS
    BAGCHI, A
    HAKIMI, SL
    IEEE TRANSACTIONS ON COMPUTERS, 1994, 43 (06) : 698 - 710
  • [33] Dissemination of state information in distributed autonomous systems
    Chapin, SJ
    Spafford, EH
    COMPUTER COMMUNICATIONS, 1998, 21 (11) : 969 - 979
  • [34] An information-theoretic framework for analyzing leak of privacy in distributed hash tables
    Ray, Souvik
    Zhang, Zhao
    P2P: SEVENTH INTERNATIONAL CONFERENCE ON PEER-TO-PEER COMPUTING, PROCEEDINGS, 2007, : 27 - 34
  • [35] Distributed contextual information storage using Content-Centric Hash Tables
    Nieto, I
    Botía, JA
    Ruiz, PM
    Gómez-Skarmeta, AF
    EMBEDDED AND UBIQUITOUS COMPUTING - EUC 2005, 2005, 3824 : 957 - 966
  • [36] Index Recommendation Tool for Optimized Information Discovery over Distributed Hash Tables
    Memon, Faraz
    Duerr, Frank
    Rothermel, Kurt
    IEEE LOCAL COMPUTER NETWORK CONFERENCE, 2010, : 104 - 111
  • [37] Algorithmic Aspects of Distributed Hash Tables on Cloud, Fog, and Edge Computing Applications: A Survey
    Karras, Aristeidis
    Karras, Christos
    Schizas, Nikolaos
    Sioutas, Spyros
    Zaroliagis, Christos
    ALGORITHMIC ASPECTS OF CLOUD COMPUTING, ALGOCLOUD 2023, 2024, 14053 : 133 - 171
  • [38] Building content-based publish/subscribe systems with distributed hash tables
    Tam, D
    Azimi, R
    Jacobsen, HA
    DATABASES, INFORMATION SYSTEMS, AND PEER-TO-PEER COMPUTING, 2004, 2944 : 138 - 152
  • [39] Embedding Network Coordinates into the Heart of Distributed Hash Tables
    Kojima, Toshinori
    Asahara, Masato
    Kono, Kenji
    Hayakawa, Ai
    2009 IEEE NINTH INTERNATIONAL CONFERENCE ON PEER-TO-PEER COMPUTING (P2P 2009), 2009, : 155 - 158
  • [40] LDHT: Locality-aware Distributed Hash Tables
    Wu, Weiyu
    Chen, Yang
    Zhang, Xinyi
    Shi, Xiaohui
    Cong, Lin
    Deng, Beixing
    Li, Xing
    2008 THE INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING, 2008, : 187 - +