Scalability of Distributed Engineering Computation over Cloud of Virtual Machines

Dr. Han Gyoo Kim

Scalability of Distributed Engineering Computation over Cloud of Virtual Machines

Dr. Han Gyoo Kim * §

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Hongik University

Scalability of Distributed Engineering Computation over Cloud of Virtual Machines

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Abstract

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.

References

7 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Han Gyoo Kim. 2012. "Scalability of Distributed Engineering Computation over Cloud of Virtual Machines". Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 12 (GJCST Volume 12 Issue B10).

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GJCST Volume 12 Issue B10

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Cloud Computing networked parallel computing scalability task decomposition

Classification

GJCST-B Classification C4

Submission ReceivedApril 14, 2012
Peer Review Double Blind
Handling Editor
Accepted April 30, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

July 7, 2012

Language

English

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Article Matrices

Total Score: 176

Country: South Korea

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Han Gyoo Kim (PhD/Dr. count: 1)

View Count (all-time): 440

Total Views (Real + Logic): 4256

Total Downloads (simulated): 289

Publish Date: 2012 05, Tue

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Total Views: 4.3K

Total Downloads: 289

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