For your reading pleasure here is Chapter 2: Big Data Technologies and Cloud Computing from new book, Optimized Cloud Resource Management and Scheduling by Wenhong Tian and Yong Zhao:

We are entering into a “big data” era. Due to bottlenecks such as poor scalability, difficulties in installation and maintenance, fault tolerance and low performance in traditional information technology framework, we need to leverage cloud computing techniques and solutions to deal with big data problems. Cloud computing and big data are complementary to each other and have inherent connection of dialectical unity. The breakthrough of big data technologies will not only resolve the aforementioned problems, but also promote the wide application of Cloud computing and the “Internet of Things” technologies. In this chapter, we focus on discussing the development and pivotal technologies of big data, providing a comprehensive description of big data from several perspectives, including the development of big data, the current data-burst situation, the relationship between big data and Cloud computing, and big data technologies. We also discuss related researches in the end. Enjoy:

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Main contents of this chapter:

• Background and definition of big data
• Big data problems
• The dialectical relationship between cloud computing and big data
• Big data technologies

Like what you’ve read so far? Optimized Cloud Resource Management and Scheduling is available for purchase on the Elsevier Store. You can save up to 30% on your very own copy using discount code “STC3014” at checkout!

You can also read Chapter 1: An introduction to Cloud Computing and Chapter 11: A Toolkit for Modeling and Simulation of Real-time Virtual Machine Allocation in a Cloud Data Center.