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Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing

Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing

Richard S. Segall, Jeffrey S. Cook, Gao Niu
Copyright: © 2019 |Volume: 2 |Issue: 1 |Pages: 40
ISSN: 2572-4908|EISSN: 2572-4894|EISBN13: 9781522568902|DOI: 10.4018/IJFC.2019010104
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MLA

Segall, Richard S., et al. "Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing." IJFC vol.2, no.1 2019: pp.1-40. http://doi.org/10.4018/IJFC.2019010104

APA

Segall, R. S., Cook, J. S., & Niu, G. (2019). Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing. International Journal of Fog Computing (IJFC), 2(1), 1-40. http://doi.org/10.4018/IJFC.2019010104

Chicago

Segall, Richard S., Jeffrey S. Cook, and Gao Niu. "Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing," International Journal of Fog Computing (IJFC) 2, no.1: 1-40. http://doi.org/10.4018/IJFC.2019010104

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Abstract

Computing systems are becoming increasingly data-intensive because of the explosion of data and the needs for processing the data, and subsequently storage management is critical to application performance in such data-intensive computing systems. However, if existing resource management frameworks in these systems lack the support for storage management, this would cause unpredictable performance degradation when applications are under input/output (I/O) contention. Storage management of data-intensive systems is a challenge. Big Data plays a most major role in storage systems for data-intensive computing. This article deals with these difficulties along with discussion of High Performance Computing (HPC) systems, background for storage systems for data-intensive applications, storage patterns and storage mechanisms for Big Data, the Top 10 Cloud Storage Systems for data-intensive computing in today's world, and the interface between Big Data Intensive Storage and Cloud/Fog Computing. Big Data storage and its server statistics and usage distributions for the Top 500 Supercomputers in the world are also presented graphically and discussed as data-intensive storage components that can be interfaced with Fog-to-cloud interactions and enabling protocols.