Stability and Resilience of Distributed Information Spreading in Aggregate Computing

Spreading informationthrough a network of devices is a core activity for most distributed systems. Self-stabilizing algorithms for information spreading are one of the key building blocks enabling aggregate computing to provide resilient coordination in open complex distributed systems. This article...

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Bibliographic Details
Published in:IEEE transactions on automatic control Vol. 68; no. 1; pp. 454 - 461
Main Authors: Mo, Yuanqiu, Dasgupta, Soura, Beal, Jacob
Format: Journal Article
Language:English
Published: New York IEEE 01.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Aggregate computing
Aggregates
Algorithms
Asymptotic stability
Computation
Computer networks
Design parameters
distributed graph algorithms
Dynamical systems
Heuristic algorithms
Logic gates
multiagent systems
nonlinear stability
Performance evaluation
Perturbation
Perturbation methods
Resilience
Robustness
Stability
ultimate bounds
ISSN:0018-9286, 1558-2523
Online Access:Get full text
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Description
Summary:Spreading informationthrough a network of devices is a core activity for most distributed systems. Self-stabilizing algorithms for information spreading are one of the key building blocks enabling aggregate computing to provide resilient coordination in open complex distributed systems. This article improves a general spreading block in the aggregate computing literature by making it resilient to network perturbations, establishes its global uniform asymptotic stability, and proves that it is ultimately bounded under persistent disturbances. The ultimate bounds depend only on the magnitude of the largest perturbation and the network diameter, and three design parameters trading off competing aspects of performance. For example, as in many dynamical systems, values leading to greater resilience to network perturbations slow convergence and vice versa.
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ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2022.3140253