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  1. Transactions on Autonomous and Adaptive Systems (TAAS)
  2. ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 10
  3. Issue 4(Special Section on Best Papers from SEAMS 2014 and Regular Articles), February 2016
  4. Self-Stabilized Fast Gossiping Algorithms
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ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 11
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 10
Issue 4(Special Section on Best Papers from SEAMS 2014 and Regular Articles), February 2016
Introduction to the Special Section on Best Papers from SEAMS 2014
Analyzing Latency-Aware Self-Adaptation Using Stochastic Games and Simulations
User-Centric Adaptation Analysis of Multi-Tenant Services
Designing Adaptive Applications Deployed on Cloud Environments
Inferring Software Component Interaction Dependencies for Adaptation Support
Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs
Connectivity Reestablishment in Self-Organizing Sensor Networks with Dumb Nodes
Self-Stabilized Fast Gossiping Algorithms
Enhancing Reliability of Workflow Execution Using Task Replication and Spot Instances
Issue 3, October 2015
Issue 2, June 2015
Issue 1, March 2015
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 9
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 8
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 7
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 6
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 5
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 4
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 3
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 2
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 1

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Self-Stabilized Fast Gossiping Algorithms (TAAS, Vol.10, Issue 4)

Content Provider ACM Digital Library
Author Dulman, Stefan Pauwels, Eric
Copyright Year 2015
Abstract In this article, we explore the topic of extending aggregate computation in distributed networks with self-stabilizing properties to withstand network dynamics. Existing research suggests that fast gossiping algorithms, based on the properties of order statistics applied to families of exponential random variables, are a viable solution for computing functions of the values stored in the network. We focus on the specific case in which network changes and failures occur in batches with a minimum frequency in the order of the diameter of the network. Our contribution consists in two self-stabilizing mechanisms, allowing fast gossiping algorithms to be applicable to dynamic networks with minor increase in resources usage. The resulting algorithms can be deployed in networks exhibiting churn, node stop-failures and resets, and random topological changes. The theoretical results are verified with simulations on synthetic data, showcasing desirable properties for large-scale network designers such as scalability, lack of single points of failure, and anonymity.
Starting Page 1
Ending Page 20
Page Count 20
File Format PDF
ISSN 15564665
e-ISSN 15564703
DOI 10.1145/2816819
Volume Number 10
Issue Number 4
Journal ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-12-31
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Self-stabilization Distributed network Gossiping algorithm
Content Type Text
Resource Type Article
Subject Control and Systems Engineering Software
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