The anatomy of big data computing. (9th October 2015)

• Record Type: Journal Article
• Authors: Kune, Raghavendra; Konugurthi, Pramod Kumar; Agarwal, Arun; Chillarige, Raghavendra Rao; Buyya, Rajkumar
• Is Part Of: Software, practice & experience. Volume 46:Number 1(2016)
• Page Start: 79
• Page End: 105
• Publication Date: 2015-10-09
• Subjects: big data -- big data computing -- big data analytics as a service -- big data cloud architecture; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2374
• Languages: English
• ISSNs: 0038-0644

Abstract

Summary: Advances in information technology and its widespread growth in several areas of business, engineering, medical, and scientific studies are resulting in information/data explosion. Knowledge discovery and decision‐making from such rapidly growing voluminous data are a challenging task in terms of data organization and processing, which is an emerging trend known as big data computing, a new paradigm that combines large‐scale compute, new data‐intensive techniques, and mathematical models to build data analytics. Big data computing demands a huge storage and computing for data curation and processing that could be delivered from on‐premise or clouds infrastructures. This paper discusses the evolution of big data computing, differences between traditional data warehousing and big data, taxonomy of big data computing and underpinning technologies, integrated platform of big data and clouds known as big data clouds, layered architecture and components of big data cloud, and finally open‐technical challenges and future directions. Copyright © 2015 John Wiley & Sons, Ltd.