Cloud Computing: Data-Intensive Computing and Scheduling (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Cloud Computing: Data-Intensive Computing and Scheduling (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)


As an increasing number of facts is generated at a faster-than-ever price, processing huge volumes of information is turning into a problem for information research software program. Addressing functionality matters, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical ideas and describes thoroughly new equipment and cutting edge algorithms. The e-book delineates many innovations, types, equipment, algorithms, and software program utilized in cloud computing.

After a normal creation to the sphere, the textual content covers source administration, together with scheduling algorithms for real-time initiatives and functional algorithms for person bidding and auctioneer pricing. It subsequent explains methods to facts analytical question processing, together with pre-computing, info indexing, and information partitioning. purposes of MapReduce, a brand new parallel programming version, are then awarded. The authors additionally speak about the best way to optimize a number of group-by question processing and introduce a MapReduce real-time scheduling algorithm.

A helpful reference for learning and utilizing MapReduce and cloud computing systems, this ebook provides numerous applied sciences that show how cloud computing can meet company necessities and function the infrastructure of multidimensional info research applications.

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