International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




Downloads: 114 | Views: 207

Research Paper | Electronics & Communication Engineering | Sudan | Volume 5 Issue 2, February 2016 | Rating: 6.7 / 10


Implementation of Mobile Agent in African Countries

Yassin Abdulkarim Hamdalla [3] | Osama Ali Abdelgadir [3] | Makkawi Abdelsalam Mohamedkheir [2] | Mohammed Altayeb Ahmed


Abstract: Mobile agents are agents that can physically travel across a network, and perform tasks on machines that provide agent hosting capability. This allows processes to migrate from computer to computer, for processes to split into multiple instances that execute on different machines, and to return to their point of origin. In this project, we propose to implement a mobile agent in networks based on load balance to reducing force in network traffic and overcoming network latency and their ability to operate asynchronously and independently of the process that created them, mobile agent has been an effective choice for parallel and distributed computing, by using a dynamic load-balancing technique. The method used in this research project is MATLAB Simulation method to design and describe the dynamic load balancing for building the network reservation using mobile agent. The results of our mobile agent simulator with the load balance is addresses un-regulated jobs/tasks migration among the servers. Considering distributed several servers running, a lot of bandwidth is wasted due to unnecessary job migration. This work attempts to regulate this movement to minimize bandwidth consumption and network traffic. According to the results and compression, the mobile agent network based on load balance is better than SNMP and give a high success in simulation environment test, simulator has been developed to enhance the SNMP problem. The simulation show the validity of the algorithm to improve the variance of the overhead load in the network and in providing better average response time.


Keywords: MA, Load Balancing, SNMP, Mobility, Matlab


Edition: Volume 5 Issue 2, February 2016,


Pages: 1825 - 1830



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