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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Thursday 29 October 2020

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The past, present and future of scalable computing technologies trends and paradigms: A survey


Volume 30, Issue 1, July 2020, Pages 199–214

 The past, present and future of scalable computing technologies trends and paradigms: A survey

Amany Abdelsamea1, Salwa M. Nassar2, and Hesham Eldeeb3

1 Computers & Systems Department, Electronics Research Institute, Giza, Egypt
2 Computers and Systems Department, Electronics Research Institute, Giza, Egypt
3 Computers & Systems Department, Electronics Research Institute, Giza, Egypt

Original language: English

Received 10 June 2020

Copyright © 2020 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


The past era saw a significant boost in computing, storage, and networking technologies which caused the development of massive-scale adaptive applications in engineering and science. These complex, dynamic and heterogeneous applications are combined with correspondingly heterogeneous and complex distributed and parallel computing systems caused the improvement and implementation of efficient computational infrastructures which allow execution, programming and runtime management support for these massive-scale adaptive implementations. In this paper different types of computing technologies are described. In fact, all these technologies have contributed in the development of computing. Determining one specific technology as the best among others is very difficult, since every day is an evolution in computing and every single paves a way for a new technology. This paper presents a comprehensive review for the past, present and future of scalable computing technologies trends and paradigms. Firstly, high performance computing technologies are presented. This paper presents a new classification of high performance computing into Supercomputing and Quantum Computing where Supercomputing is classified into petascale, exascale and zettascale computing. The paper discusses the main challenges in exascale computing and quantum computing and a comparison between classical supercomputing and quantum computing is presented. Secondly, distributed computing technologies specifically Peer-to-Peer Computing, Cluster Computing, Grid Computing and Cloud Computing are presented. The paper discusses their advantages and disadvantages and a comparison between them is also presented. Thirdly, post Cloud Computing Paradigms mainly dew, mist, edge and fog computing are presented. Fourthly, Jungle computing is presented. Finally, the paper highlights that exascale and quantum computing are the most recent topic to effectively achieve high performance computing, both technologies have their advantages and disadvantages so it is recommended to implement a hybrid system that uses both technologies so quantum computing can be used as an accelerators to the existing high performance computing systems. Supercomputers have a very high cost so distributed computing systems that provide high performance along with versatility and cost efficiencies are developed. Understanding and utilizing post cloud computing technologies correctly with cloud computing can help in IOT solutions.

Author Keywords: High Performance Computing, Quantum Computing, Exascale Computing, Distributed Computing and Cloud Computing.


How to Cite this Article


Amany Abdelsamea, Salwa M. Nassar, and Hesham Eldeeb, “The past, present and future of scalable computing technologies trends and paradigms: A survey,” International Journal of Innovation and Applied Studies, vol. 30, no. 1, pp. 199–214, July 2020.