By Frederic Magoules,Jie Pan,Fei Teng
As an increasing number of facts is generated at a faster-than-ever cost, processing huge volumes of information is turning into a problem for facts research software program. Addressing functionality concerns, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical ideas and describes thoroughly new tools and leading edge algorithms. The ebook delineates many techniques, types, equipment, algorithms, and software program utilized in cloud computing.
After a common creation to the sphere, the textual content covers source administration, together with scheduling algorithms for real-time initiatives and useful algorithms for person bidding and auctioneer pricing. It subsequent explains techniques to information analytical question processing, together with pre-computing, information indexing, and knowledge partitioning. purposes of MapReduce, a brand new parallel programming version, are then provided. The authors additionally speak about the right way to optimize a number of group-by question processing and introduce a MapReduce real-time scheduling algorithm.
A worthy reference for learning and utilizing MapReduce and cloud computing structures, this publication offers numerous applied sciences that show how cloud computing can meet enterprise necessities and function the infrastructure of multidimensional facts research applications.
Read Online or Download Cloud Computing: Data-Intensive Computing and Scheduling (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) PDF
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Additional resources for 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) by Frederic Magoules,Jie Pan,Fei Teng