Managing and Processing Big Data in Cloud Computing, 1st Edition

  • Rajkumar Kannan
  • Raihan Ur Rasool
  • Hai Jin
  • S.R. Balasundaram
  • Published By:
  • ISBN-10: 1466697687
  • ISBN-13: 9781466697683
  • DDC: 005.7
  • Grade Level Range: College Freshman - College Senior
  • 307 Pages | eBook
  • Original Copyright 2016 | Published/Released July 2016
  • This publication's content originally published in print form: 2016

  • Price:  Sign in for price

About

Overview

This title explores the challenges of supporting big data processing and looks as cloud-based platforms as a proposed solution. It examines such topics as data analytics, wireless networks, mobile clouds, and machine learning. It meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators interested in the areas of data science, computer programming, and IT development.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Other Frontmatter.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
Acknowledgment.
1: On the Dynamic Shifting of the MapReduce Timeout.
2: Exploiting Semantics to Improve Classification of Text Corpus.
3: Centralized to Decentralized Social Networks: Factors that Matter.
4: Texture-Based Evolutionary Method for Cancer Classification in Histopathology.
5: Ceaseless Virtual Appliance Streaming: Creation and Transmission of Virtual Packs over Network.
6: Performance Evaluation of Routing Metrics in Wireless Multi-Hop Networks.
7: Mobile Cloud Computing Future Trends and Opportunities.
8: A Survey of Cloud-Based Services Leveraged by Big Data Applications.
9: Need of Hadoop and Map Reduce for Processing and Managing Big Data.
10: Big Data Virtualization and Visualization on Cloud.
11: Essentiality of Machine Learning Algorithms for Big Data Computation.
12: Big Data Virtualization and Visualization: On the Cloud.
13: Resource Scheduling for Big Data on Cloud: Scheduling Resources.
14: Green, Energy-Efficient Computing and Sustainability Issues in Cloud.
15: The Heterogeneity Paradigm in Big Data Architectures.
Related References.
Compilation of References.
About the Contributors.
Index.
Front Cover.
Title Page.
Copyright Page.
Other Frontmatter.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
Acknowledgment.
1: On the Dynamic Shifting of the MapReduce Timeout.
2: Exploiting Semantics to Improve Classification of Text Corpus.
3: Centralized to Decentralized Social Networks: Factors that Matter.
4: Texture-Based Evolutionary Method for Cancer Classification in Histopathology.
5: Ceaseless Virtual Appliance Streaming: Creation and Transmission of Virtual Packs over Network.
6: Performance Evaluation of Routing Metrics in Wireless Multi-Hop Networks.
7: Mobile Cloud Computing Future Trends and Opportunities.
8: A Survey of Cloud-Based Services Leveraged by Big Data Applications.
9: Need of Hadoop and Map Reduce for Processing and Managing Big Data.
10: Big Data Virtualization and Visualization on Cloud.
11: Essentiality of Machine Learning Algorithms for Big Data Computation.
12: Big Data Virtualization and Visualization: On the Cloud.
13: Resource Scheduling for Big Data on Cloud: Scheduling Resources.
14: Green, Energy-Efficient Computing and Sustainability Issues in Cloud.
15: The Heterogeneity Paradigm in Big Data Architectures.
Related References.
Compilation of References.
About the Contributors.
Index.