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General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
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E-mail questions
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Acceptance Rate:
27%
APC:
800 USD
Average Days to Accept:
88 days
3.4
2023
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Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
What's New
2024-10-16
Vol. 19, No. 10 has been published online!
2024-08-20
Vol. 19, No. 8 has been published online!
2024-07-22
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Home
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2019
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Volume 14, No. 11, November 2019
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Development of Cluster-based Multiprocessor Systems with Analytical Model: A Approach
Mallikharjuna Rao K
School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India
Abstract—
Modern society is highly engaged with the High speed computing, low cost architectures, big data analysis, Internet of Things (IOT), and Cloud computing. All these applications are operated and controlled with multiprocessor systems. Day by day, as the requirements are growing parallelly the complexities increase in system maintenance and data handling. The multiprocessor system alone could not satisfy all the present system complexities. These problems can be minimized with Cluster based Multiprocessor system. There are some effective existing interconnection networks playing vital role in managing nodes in individual cluster and interconnection between clusters. It is observed that some networks are having less reliability in computational recital. In the present work a new network model is proposed with cluster based system and reliability is evaluated with analytical methods. The proposed work is compared with Ring, Multi Bus System. The proposed network has great advantage in overcoming existing system flaws like overflow, dead locks, and network interconnection failures.
Index Terms
—Network protocols, cluster, reliability, multiprocessors, network architectures.
Cite: Mallikharjuna Rao K, “Development of Cluster-based Multiprocessor Systems with Analytical Model: A Approach,” Journal of Communications vol. 14, no. 11, pp. 1091-1097, 2019. Doi: 10.12720/jcm.14.11.1091-1097.
12-JCM170177
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