A survey of process migration mechanisms
ACM SIGOPS Operating Systems Review
Introduction to client/server systems: a practical guide for systems professionals
Introduction to client/server systems: a practical guide for systems professionals
A performance evaluation of the mobile agent paradigm
Proceedings of the 14th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Internet Access to a Home Area Network
IEEE Internet Computing
Communication Primitives for Ubiquitous Systems or RPC Considered Harmful
ICDCSW '01 Proceedings of the 21st International Conference on Distributed Computing Systems
Design and implementation of an agent-based collaborative product design system
Computers in Industry
Bandwidth-adaptive partitioning for distributed execution optimization of mobile applications
Journal of Network and Computer Applications
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Networks and distributed processing systems are of critical and growing importance in business, government and other organization. In this new millennium, it is increasingly important to retrieve and transfer information efficiently and rapidly from widely dispersed users in an enterprise network.This paper presents the use of mobile agent (MA) in the control and transfer of data in distributed computing environment as against the traditional client-server computing.The conceptual design of the MA is process-based and packet switching oriented. The mobility infrastructure was developed to facilitate a transmission control protocol/internet protocol socket-based connection between source and destination machine using agent transfer. To specify the path of itinerary agent, a model of dynamic route decisions was defined and implemented using concept of oldness vector and random number generator. In order to show a proof of a superior scheme provided by mobile agent over the traditional scheme, an analytical model was developed. From the analytical model, the following parameters were determined: bandwidth usage against number of requests per service, percentage denial of service measured against number of requests per service, percentage denial of service measured against network failure rate, and network bandwidth overlord with retransmission.The simulated network has a state that is modeled after Bernoulli random variable (BRV) with probability of success p = 80% and probability of failure q = 20%. The network breakdown was implemented also by an event generated by a multiplicative congruential pseudorandom number generator.The computer programs for the mobile agent and the simulated model were written in C++ and Java programming languages.Experimental results based on the simulation were presented.