ABSTRACT

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The

chapter 1|18 pages

Overview of cloud computing

chapter 2|22 pages

Resource scheduling for cloud computing

chapter 5|26 pages

Data intensive applications with MapReduce

chapter 8|26 pages

Real-time scheduling with MapReduce

chapter 9|4 pages

Future for cloud computing