sis 20(27): e9

Research Article

Big Computing: Where are we heading?

Download670 downloads
Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/eai.13-7-2018.163972,
    author={Sabuzima Nayak and Ripon Patgiri and Thoudam Doren Singh},
    title={Big Computing: Where are we heading?},
    journal={EAI Endorsed Transactions on Scalable Information Systems},
    volume={7},
    number={27},
    publisher={EAI},
    journal_a={SIS},
    year={2020},
    month={4},
    keywords={Big Computation, Big Computing, Big Data, Exascale, Exaflops, Zettaflops, GPU},
    doi={10.4108/eai.13-7-2018.163972}
}
  • Sabuzima Nayak
    Ripon Patgiri
    Thoudam Doren Singh
    Year: 2020
    Big Computing: Where are we heading?
    SIS
    EAI
    DOI: 10.4108/eai.13-7-2018.163972
Sabuzima Nayak1, Ripon Patgiri1,*, Thoudam Doren Singh1
  • 1: National Institute of Technology Silchar, Assam-788010, India
*Contact email: ripon@cse.nits.ac.in

Abstract

This paper presents the overview of the current trends of Big data against the computing scenario from different aspects. Some of the important aspect includes the Exascale, the computing power and the kind of applications which offer the Big data. This starts with the current computing hardware constraint against the need of the rising Big data applications. We highlight the issues and challenges of energy requirement, software complexity, hardware failure, fault tolerant computing, and communication. As the complexity of computation is going to rise in the future. The paper also highlights the future direction of Big computing systems for Bioinformatics, social media, hardware and software requirements, data intensive computation and then towards GPU era.

Keywords
Big Computation, Big Computing, Big Data, Exascale, Exaflops, Zettaflops, GPU
Received
2019-11-25
Accepted
2020-04-07
Published
2020-04-09
Publisher
EAI
http://dx.doi.org/10.4108/eai.13-7-2018.163972

Copyright © 2020 Sabuzima Nayak et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.