Mobile agent paradigm derives from two basic disciplines –artificial intelligence from where the concept of an agent
originated and distributed systems that define the notion of code mobility having found applications in several areas. However, the
implementation of an agent-based system can be through any client/server technology, it is different from classical client/server
systems because there is no clear distinction between a client and a server. The mobile agent technology offers several unique
capabilities to address the challenges in this area. The objective of this research is to; design a Mobile Agent System for monitoring
and evaluating security applications in a network environment and develop a mobile agent capable of increasing the performance of
the mobile agent by reducing the size of the agent and also to develop a mobile agent that will be acceptable to all hosts.
Published In:IJCSN Journal Volume 6, Issue 6
Date of Publication : December 2017
Pages : 826-834
Tables : 02
Amosa Babalola : is a Chief
Lecturer at the Federal Polytechnic, Ede, Nigeria
Holds a Ph.D. in Computer Science, and he is
presently at San Juan de la Cruz, University,
San Jose, Costa Rica. His area of specialization
includes; Mobile Agents, Health informatics,
Databases and Steganography. He has published
a number of referred papers at local and
Onyeka Ndidi : Department of Computer Science, Federal Polytechnic, Ede. Nigeria.
Olaniyi Busayo : Department of Computer Science, Federal Polytechnic, Ede. Nigeria.
Babafemi Olusola : Department of Computer Science, Federal Polytechnic, Ede. Nigeria .
Mobile Agent, Performance, Computer Network, Code Mobility, Security Monitoring
In this research, we have presented how the
performance of mobile agent can be increased. The
major idea behind the model is to reduce the size of the
mobile agent. The model allows the mobile agents to
visit all the available places during the migration.
During migration, some nodes may refuse the mobile
agents because their sizes are large and not acceptable
to store them. The model can help in this situation. Two
experiments have been performed and according to the
result, the model proved its efficiency in reducing the
mobile agent size.
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