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Big Data Computing And Clouds Trends And Future Directions Pdf

big data computing and clouds trends and future directions pdf

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Published: 06.06.2021

A comparison of approaches to large-scale data analysis. Apache Hadoop Goes Realtime at Facebook. BigBench - towards an industry standard benchmark for big data analytics.

Big Data in Cloud Computing: A Resource Management Perspective

In recent years, accompanied by lower prices of information and communications technology ICT equipment and networks, various items of data gleaned from the real world have come to be accumulated in cloud data centers. There are increasing hopes that analysis of this massive amount of data will provide insight that is valuable to both businesses and society. Since tens of terabytes TBs or tens of petabytes PBs of data, big data, should be handled to make full use of it, there needs to be a new type of technology different from ordinary ICT. It revolves around different areas of analytics and Big Data. Through a detailed survey, we identify possible gaps in technology and provide recommendations for the research community on future directions on Cloud-supported Big Data computing and analytics solutions.

Cloud Computing Challenges and Future Trends

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Calheiros and S. Bianchi and M. Netto and R.

The system can't perform the operation now. Try again later. Citations per year. Duplicate citations. The following articles are merged in Scholar. Their combined citations are counted only for the first article.

Most Downloaded Journal of Parallel and Distributed Computing Articles

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Data mining applications are becoming increasingly important for the wide range of manufacturing and maintenance processes. During daily operations, large amounts of data are generated. This large volume and variety of data, arriving at a greater velocity has its own advantages and disadvantages. On the negative side, the abundance of data often impedes the ability to extract useful knowledge. In addition, the large amounts of data stored in often unconnected databases make it impractical to manually analyse for valuable decision-making information.

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