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Big Data Technologies and Cloud Computing (PDF)

By: , Posted on: November 13, 2014

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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Optimized Cloud Resources Management and Scheduling CoverMain 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.

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Computer Science

Computing functionality is ubiquitous. Today this logic is built into almost any machine you can think of, from home electronics and appliances to motor vehicles, and it governs the infrastructures we depend on daily — telecommunication, public utilities, transportation. Maintaining it all and driving it forward are professionals and researchers in computer science, across disciplines including:

  • Computer Architecture and Computer Organization and Design
  • Data Management, Big Data, Data Warehousing, Data Mining, and Business Intelligence (BI)
  • Human Computer Interaction (HCI), User Experience (UX), User Interface (UI), Interaction Design and Usability
  • Artificial intelligence (AI)
Morgan Kaufmann companion resources can be found here You can also access companion materials and instructor’s resources for all our new books on the Elsevier Store. Search by author, title or ISBN, then look for the “Resources” tab on any book page. Looking for companion materials or instructor’s resources for these titles? Connect below: