Self-* properties through gossiping

Author:

Babaoglu Ozalp1,Jelasity Márk2

Affiliation:

1. University of BolognaMura Anteo Zamboni 7, 40126 Bologna, Italy

2. University of Szeged and HASPO Box 652, 6701 Szeged, Hungary

Abstract

As computer systems have become more complex, numerous competing approaches have been proposed for these systems to self-configure, self-manage, self-repair, etc. such that human intervention in their operation can be minimized. In ubiquitous systems, this has always been a central issue as well. In this paper, we overview techniques to implement self-* properties in large-scale, decentralized networks through bio-inspired techniques in general, and gossip-based algorithms in particular. We believe that gossip-based algorithms could be an important inspiration for solving problems in ubiquitous computing as well. As an example, we outline a novel approach to arrange large numbers of mobile agents (e.g. vehicles, rescue teams carrying mobile devices) into different formations in a totally decentralized manner. The approach is inspired by the biological mechanism of cell sorting via differential adhesion, as well as by our earlier work in self-organizing peer-to-peer overlay networks.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Discovery Through Gossip;Random Structures & Algorithms;2016-01-06

2. Local Semantic Indexing for Resource Discovery on Overlay Network Using Mobile Agents;International Journal of Computational Intelligence Systems;2014

3. Robust convention emergence in social networks through self-reinforcing structures dissolution;ACM Transactions on Autonomous and Adaptive Systems;2013-04

4. Decentralized and optimal control of shared resource pools;ACM Transactions on Autonomous and Adaptive Systems;2012-04

5. Introduction;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences;2008-07-31

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