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Cloud Computing : Data-Intensive Computing and Scheduling

By: Material type: TextTextSeries: Chapman & Hall/CRC Numerical Analysis and Scientific ComputingPublication details: Boca Raton : CRC Press, c2013.Description: 231 pISBN:
  • 9780429112577
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 004.6782 M211
Online resources: Available additional physical forms:
  • Also available in print edition.
Contents:
1. Overview of cloud computing -- 2. Resource scheduling for cloud computing -- 3. Game theoretical allocation in a cloud datacenter -- 4. Multi-dimensional data analysis in a cloud datacenter -- 5. Data intensive applications with MapReduce -- 6. Large-scale multi-dimensional data aggregation -- 7. Multi-dimensional data analysis optimization -- 8. Real-time scheduling with MapReduce -- 9. Future for cloud computing.
Summary: This practical book delves into new cloud computing technologies and indicates the main challenges for their development in the future, especially for resource management problems. By systematizing cloud resource management problems, it helps knowledgeable readers who are not subject matter experts in a topic but want to have an in-depth analysis. It provides a parallel programming model, MapReduce, to parallelize multidimensional analytical query processing. The text includes how to master the fundamental concepts and programming models and apply them successfully to reach objectives. The authors discuss how to maximize the value of existing scheduling algorithms from a theoretical point of view-- Provided by publisher.
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Item type Current library Call number Status Barcode
E-Books E-Books Indian Institute of Technology Tirupati 004.6782 M211 (Browse shelf(Opens below)) Available EB00420

A Chapman & Hall book.

Includes bibliographical references (p. 187-202) and index.

1. Overview of cloud computing -- 2. Resource scheduling for cloud computing -- 3. Game theoretical allocation in a cloud datacenter -- 4. Multi-dimensional data analysis in a cloud datacenter -- 5. Data intensive applications with MapReduce -- 6. Large-scale multi-dimensional data aggregation -- 7. Multi-dimensional data analysis optimization -- 8. Real-time scheduling with MapReduce -- 9. Future for cloud computing.

This practical book delves into new cloud computing technologies and indicates the main challenges for their development in the future, especially for resource management problems. By systematizing cloud resource management problems, it helps knowledgeable readers who are not subject matter experts in a topic but want to have an in-depth analysis. It provides a parallel programming model, MapReduce, to parallelize multidimensional analytical query processing. The text includes how to master the fundamental concepts and programming models and apply them successfully to reach objectives. The authors discuss how to maximize the value of existing scheduling algorithms from a theoretical point of view-- Provided by publisher.

Also available in print edition.

Mode of access: World Wide Web.

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