By Frederic Magoules,Jie Pan,Fei Teng
As increasingly more info is generated at a faster-than-ever expense, processing huge volumes of knowledge is changing into a problem for information research software program. Addressing functionality concerns, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical concepts and describes thoroughly new tools and leading edge algorithms. The booklet delineates many innovations, versions, tools, algorithms, and software program utilized in cloud computing.
After a basic advent to the sector, the textual content covers source administration, together with scheduling algorithms for real-time initiatives and functional algorithms for consumer bidding and auctioneer pricing. It subsequent explains methods to info 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 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 ebook provides numerous applied sciences that show how cloud computing can meet company 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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