MASTIC

Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The book delineates many concepts, models, methods, algorithms and software used in cloud computing. The authors also discuss how to optimize multiple group-by query processing and introduce a MapReduce real-time scheduling algorithm.

Features:

• Discusses the implementation of priority-based strategies
• Presents the elements underlying a cloud datacenter
• Offers solutions to resource allocation problems in clouds
• Describes the features of multidimensional data analysis queries
• Illustrates the use of MapReduce, a new parallel programming model
• Explores directions for further research

A useful reference for studying and using MapReduce and cloud computing platforms, this book presents various technologies that demonstrate how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications.