Title :
Solenopsis: A Framework for the Development of Ant Algorithms
Author :
Brocco, Amos ; Hirsbrunner, Béat ; Courant, Michéle
Author_Institution :
Fribourg Univ.
Abstract :
Network resources management issues in complex and dynamic scenarios require decentralized solutions and adaptive systems to face critical and unattended situations. Bio-inspired techniques such as swarm intelligence algorithms, have proved to be robust and suitable for managing tasks like routing, load-balancing or resource discovery. In this paper we describe Solenopsis, a framework for the development, simulation and deployment of ant-algorithms, which is aimed at supporting network management middlewares. The system provides a modular and scalable environment that can be distributed over a network. Ants are coded using a simple programming language, and are able to migrate across nodes. Two basic load-balancing algorithms are presented and evaluated, as an example of how this tool works and can be used in practice.
Keywords :
middleware; particle swarm optimisation; resource allocation; Solenopsis; ant algorithms; bio-inspired techniques; load-balancing; network management middlewares; network resources management; resource discovery; swarm intelligence algorithms; Adaptive systems; Ant colony optimization; Artificial intelligence; Computer languages; Middleware; Particle swarm optimization; Resource management; Robustness; Routing; Scalability;
Conference_Titel :
Swarm Intelligence Symposium, 2007. SIS 2007. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0708-7
DOI :
10.1109/SIS.2007.367954