By Frederic Magoules,Jie Pan,Fei Teng
As an increasing number of info 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 concerns, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical options and describes thoroughly new equipment and cutting edge algorithms. The booklet delineates many options, types, tools, 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 functional algorithms for person bidding and auctioneer pricing. It subsequent explains techniques to information analytical question processing, together with pre-computing, info indexing, and knowledge partitioning. purposes of MapReduce, a brand new parallel programming version, are then offered. The authors additionally speak about find out how to optimize a number of group-by question processing and introduce a MapReduce real-time scheduling algorithm.
A important reference for learning and utilizing MapReduce and cloud computing structures, this booklet provides numerous applied sciences that show how cloud computing can meet enterprise standards and function the infrastructure of multidimensional info 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 info 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