Abstract
This paper presents the managing of large-scale distributed system with the use of mobile agent concept in distributed environment which is becoming an increasing challenging task. The primary goal is to ensure efficient use of resources, services of computer systems, and networks to provide timely services to the end users using mobile agent with decentralized processing and control in distributed resources so as to minimize the network traffic and speed up management tasks in distributed environment, provide more scalability, and to provide more flexibility in the development and maintenance of the applications. The problem with the traditional techniques is, when the number of visited nodes grows, the mobile agent size also increases and making migration harder. One possible solution to this problem is to visit a fixed number of nodes, return to the agent home or send all data to it (reducing the mobile agent size), and start the task again on the remaining nodes. The initial size of a mobile agent also affects agent performance, since the larger the size, the more difficult the migration.
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Kavitha, S., Senthil Kumar, K., Arul Anandam, K. (2014). Mobile Agent Model with Efficient Communication for Distributed Data Mining. In: Sathiakumar, S., Awasthi, L., Masillamani, M., Sridhar, S. (eds) Proceedings of International Conference on Internet Computing and Information Communications. Advances in Intelligent Systems and Computing, vol 216. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1299-7_39
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DOI: https://doi.org/10.1007/978-81-322-1299-7_39
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