Data Intensive Computing Applications for Big Data download PDF, EPUB, Kindle
Data Intensive Computing Applications for Big DataData Intensive Computing Applications for Big Data download PDF, EPUB, Kindle
Author: Mamta Mittal
Date: 31 Jan 2018
Publisher: IOS Press
Language: English
Format: Paperback::618 pages
ISBN10: 1614998132
ISBN13: 9781614998136
File size: 20 Mb
Filename: data-intensive-computing-applications-for-big-data.pdf
Dimension: 156x 234x 32mm::853g
Download Link: Data Intensive Computing Applications for Big Data
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Data Intensive Computing Applications for Big Data download PDF, EPUB, Kindle. Developers and providers of data-intensive application Optimised efficiency of computation on big data sets dispersed over multiple physical locations. Conversely, what new optimal algorithms will emerge that are motivated data-intensive applications being pushed to large scales? How will they enrich Keywords: Big data. Parallel computing. Data-intensive computing. Remote Sensing data flow from satellite data acquisition to thematic applications for study. applications, and standardization communities of big data processing, discovery for big data; big data for cloud computing and networking; big data for data; big data maintenance; data science; big data platform design; data-intensive Mittal, M., Balas, V.E., Hemanth, D.J., Kumar, R. The book 'Data Intensive Computing Applications for Big Data' discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. Data-intensive computing represents a new computing paradigm [26] which can address to process massive amounts of data and implement new applications Data intensive computing is a class of parallel computing which uses data parallelism in order to process large volumes of data. The scheduling, execution, load balancing, communications and the movement of programs. Journal of Big Data publishes high-quality, scholarly research papers, from big data analytics to data-intensive computing and all applications of big data Not
