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.

Highlights

  • Big Computing is the future trend in two-fold, namely, data-intensive computation (Big Data) and task-intensive computation

  • The scientific and research world is focusing on creating a supercomputer/High-Performance Computing (HPC) which can perform beyond ExaFLOPS

  • The world with a very high speed is moving towards the Exascale era

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Summary

Introduction

Big Computing is the future trend in two-fold, namely, data-intensive computation (Big Data) and task-intensive computation. The size of Big Data in the near future is going to reach Exascale. The current Big data technologies are unable to handle such Exascale data. The Exascale Big data require a Big computing system capable of processing Exabyte sized data. European technology by 2023 and to become an independent superpower in the race of Exascale It has provided a funding of 1 billion euro till 2020 [2]. The United States is investing $1.8 billion USD for development of three Exascale Big computing systems till 2021-2022 [3]. The article is organized as follows- Section 2 briefs on Big Data systems.

Big Data
High Performance Computing
Energy requirement
Hardware failure
Fault tolerance
Communication
Software Complexity
ZettaFLOPS
Processor
Storage memory
Future direction
Communications
Bioinfromatics
Social Media
Future Application
Hardware and Software Requirements
Data-intensive computation
Energy-aware computation
Conclusion
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