Machine Learning-Based Adaptive Load Balancing Framework for Distributed Object Computing
Distributed object computing is widely envisioned to be the desired distributed software development paradigm due to the higher modularity and the capability of handling machine and operating system heterogeneity. In this paper, we address the issue of judicious load balancing in distributed object...
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| Other Authors: | , |
| Format: | article |
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2006
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/2642/1/LNCS-Helmy-Abstract.pdf |
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