Premium
An Adaptive Regulation Approach of Mobile Agent Population Size in Distributed Systems
Author(s) -
Bakhouya M.,
Nemiche M.,
Gaber J.
Publication year - 2016
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21750
Subject(s) - computer science , distributed computing , mobile agent , a priori and a posteriori , population , resource (disambiguation) , controller (irrigation) , multi agent system , mobile computing , artificial intelligence , computer network , philosophy , demography , epistemology , sociology , agronomy , biology
The development of ubiquitous and pervasive computing systems requires new approaches and paradigms. Mobile agent based approaches have received a great attention for developing distributed applications. Agents are programs that can migrate from a machine to another in a network and perform tasks on distant machines. However, it is difficult to estimate a priori the appropriate number of agents allowed to be spawned in the network without any global information or controller. Indeed, increasing agent population size, with cloning operation, will increase resource demands in the network, which would indirectly affect the network performance. This paper focuses on the problem of dynamic regulation of mobile agent population size in a distributed system and proposes an approach that takes inspiration from the immune system concepts. Simulations have been conducted and results are reported to show the effectiveness of the proposed approach.