A Review of Big Data Resource Management: Using Smart Grid Systems as a Case Study

Author:

Khan Muhammad Fawad1,Azam Muhammad2,Khan Muhammad Asghar3ORCID,Algarni Fahad4ORCID,Ashfaq Mujaddad5,Ahmad Ibtihaj6,Ullah Insaf3

Affiliation:

1. School of Computer Science and Engineering, Kyungpook National University, Daegu, Republic of Korea

2. School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China

3. Department of Electrical Engineering, Hamdard University, Islamabad, Pakistan

4. College of Computing and Information Technology, University of Bisha, Saudi Arabia

5. Department of Electrical Engineering, Foundation University Islamabad, Rawalpindi Campus, Pakistan

6. Department of Computer Science Engineering, Northwestern Polytechnical University, Xi’an, China

Abstract

Big data has recently been a prominent topic of research due to the exponential growth of data every year. This massive growth of data is causing problems with resource management. The available literature does not address this problem in depth. Therefore, in this article, we aim to cover the topic of resource management for big data in detail. We addressed resource management from the perspective of smart grids for a better understanding. This study includes a number of tools and methods, such as Hadoop and MapReduce. Large data sets created by smart grids or other data-generating sources may be handled using such tools and approaches. In this article, we also discussed resource management in terms of various vulnerabilities and security risks to data and information being transmitted or received, as well as big data analytics. In summary, our comprehensive study of big data in terms of data creation, processing, resource management, and analysis gives a full picture of big data.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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