Abstract
Mobile agents were introduced as a new design paradigm for distributed systems. One advantage of mobile agents is to reduce network traffic as compared to the client-server paradigm, simply by moving code close to the data instead of moving large amount of data to the client. Unfortunately, many mobile agent toolkit suffer from to simple migration techniques. Therefore, we argue in this paper for an new migration technique that supports an adaptive decision on the code and data relocation technique. We propose several techniques for code analysis and alteration and present an algorithm to determine the optimal migration strategy within this model under the assumption of full knowledge about the application and network environment.
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Kern, S., Braun, P. (2006). Towards Adaptive Migration Strategies for Mobile Agents. In: Hinchey, M.G., Rago, P., Rash, J.L., Rouff, C.A., Sterritt, R., Truszkowski, W. (eds) Innovative Concepts for Autonomic and Agent-Based Systems. WRAC 2005. Lecture Notes in Computer Science(), vol 3825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11964995_30
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DOI: https://doi.org/10.1007/11964995_30
Publisher Name: Springer, Berlin, Heidelberg
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