By Frederic Magoules,Jie Pan,Fei Teng
As progressively more info is generated at a faster-than-ever price, processing huge volumes of knowledge is changing into a problem for info research software program. Addressing functionality matters, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical suggestions and describes thoroughly new tools and leading edge algorithms. The e-book delineates many ideas, types, equipment, algorithms, and software program utilized in cloud computing.
After a basic creation to the sphere, the textual content covers source administration, together with scheduling algorithms for real-time projects and useful algorithms for consumer bidding and auctioneer pricing. It subsequent explains techniques to info analytical question processing, together with pre-computing, facts indexing, and information partitioning. purposes of MapReduce, a brand new parallel programming version, are then awarded. 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 valuable reference for learning and utilizing MapReduce and cloud computing structures, this booklet offers numerous applied sciences that reveal how cloud computing can meet enterprise specifications 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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