Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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It is investigated to verify the scalability aspects of the distributed engineering computation on the cloud computing. In the study, a parallel virtual machine program distributed over a network of cloud computers is used in solving a finite difference version of a typical complicated engineering differential equation. It is found that there exist a pseudo-optimal number of virtual machines, which does not necessarily coincide with the number of tasks and the pseudo-optimal number depends on various overheads over the network of virtual machines. Increasing the number of machines in the cloud beyond certain threshold one does not improve computing performance due to the communication overhead between the task processes distributed over the network.
Dr. Han Gyoo Kim. 2012. \u201cScalability of Distributed Engineering Computation over Cloud of Virtual Machines\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 12 (GJCST Volume 12 Issue B10): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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It is investigated to verify the scalability aspects of the distributed engineering computation on the cloud computing. In the study, a parallel virtual machine program distributed over a network of cloud computers is used in solving a finite difference version of a typical complicated engineering differential equation. It is found that there exist a pseudo-optimal number of virtual machines, which does not necessarily coincide with the number of tasks and the pseudo-optimal number depends on various overheads over the network of virtual machines. Increasing the number of machines in the cloud beyond certain threshold one does not improve computing performance due to the communication overhead between the task processes distributed over the network.
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