By Frederic Magoules,Jie Pan,Fei Teng
As a growing number of facts is generated at a faster-than-ever fee, processing huge volumes of information is changing into a problem for facts research software program. Addressing functionality matters, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical options and describes thoroughly new tools and leading edge algorithms. The publication delineates many thoughts, types, tools, algorithms, and software program utilized in cloud computing.
After a normal creation to the sector, the textual content covers source administration, together with scheduling algorithms for real-time projects and functional algorithms for person bidding and auctioneer pricing. It subsequent explains methods to info analytical question processing, together with pre-computing, info indexing, and information partitioning. functions of MapReduce, a brand new parallel programming version, are then provided. The authors additionally talk about find out how to optimize a number of group-by question processing and introduce a MapReduce real-time scheduling algorithm.
A worthwhile reference for learning and utilizing MapReduce and cloud computing structures, this e-book offers a variety of applied sciences that display how cloud computing can meet company necessities and function the infrastructure of multidimensional facts research applications.
Read 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