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Discovering the Influences of Complex Network Effects on Recovering Large Scale Multiagent Systems
Joint Authors
Li, Xiang
Ren, Wei
Liu, Pengfei
Xu, Yang
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-02
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Building efficient distributed coordination algorithms is critical for the large scale multiagent system design, and the communication network has been shown as a key factor to influence system performance even under the same coordination protocol.
Although many distributed algorithm designs have been proved to be feasible to build their functions in the large scale multiagent systems as claimed, the performances may not be stable if the multiagent networks were organized with different complex network topologies.
For example, if the network was recovered from the broken links or disfunction nodes, the network topology might have been shifted.
Therefore, their influences on the overall multiagent system performance are unknown.
In this paper, we have made an initial effort to find how a standard network recovery policy, MPLS algorithm, may change the network topology of the multiagent system in terms of network congestion.
We have established that when the multiagent system is organized as different network topologies according to different complex network attributes, the network shifts in different ways.
Those interesting discoveries are helpful to predict how complex network attributes influence on system performance and in turn are useful for new algorithm designs that make a good use of those attributes.
American Psychological Association (APA)
Xu, Yang& Liu, Pengfei& Li, Xiang& Ren, Wei. 2014. Discovering the Influences of Complex Network Effects on Recovering Large Scale Multiagent Systems. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049503
Modern Language Association (MLA)
Xu, Yang…[et al.]. Discovering the Influences of Complex Network Effects on Recovering Large Scale Multiagent Systems. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1049503
American Medical Association (AMA)
Xu, Yang& Liu, Pengfei& Li, Xiang& Ren, Wei. Discovering the Influences of Complex Network Effects on Recovering Large Scale Multiagent Systems. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049503
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049503