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Techniques and Environments for Big Data

Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing. Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Euiwhan Kim, Gi-Name Wang

Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing


Techniques.and.Environments.for.Big.Data.Analysis.Parallel.Cloud.and.Grid.Computing.pdf
ISBN: 9783319275185 | 213 pages | 6 Mb


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Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Euiwhan Kim, Gi-Name Wang
Publisher: Springer International Publishing



Source solutions as well as major milestones of Google Cloud Platform, Amazon scale in Big Data environments, and with the many other challenges such as veracity,. Nosql Databases, Distributed File Systems and Parallel Computing . Techniques and parameters that can be considered for a workload characterisation. System Architectures for Parallel and Distributed Computing Tools and Environments for Parallel Program Design/Analysis; Scalable Cloud Computing Techniques for Big Data; Storage Architectures for Clouds and Big Data Processing. Parallel, Cloud, and Grid Computing, Vol. Efficiency; high performance computing; HPC; cloud computing; big data. Knowledge of Big data using distributed framework (Hadoop and ecosystem). These methods can be scaled to handle big data using the distributed and parallel computing technologies. Workload analysis plays a key role in all the studies where the In distributed HPC environments, such as grid computing, environments and parallel systems. Analysis approaches and the utilisation of Grid and Cloud computing. Wang (Eds.) Techniques and Environments for Big Data Analysis. The members of the Parallel and Distributed Computing Laboratory (PaDiC Lab) computing, in particular distributed programming and cloud/grid computing. This chapter gives an overview of parallel and distributed computing approaches and how they can be used to scaling data mining algorithms to deal with large datasets rather than dealing with ing techniques in resource constraint environments. Classes of Big Data Analytics Applications and Techniques . The series "Studies in Big Data" (SBD) publishes new developments and advances in the various areas of Big Data- E.





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