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Trust Management in Cloud Services

  • Book
  • © 2014

Overview

Authors:
  1. Talal H. Noor

    1. College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia

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  2. Quan Z. Sheng

    1. School of Computer Science, The University of Adelaide, Adelaide, Australia

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  3. Athman Bouguettaya

    1. School of Computer Science and Information Technology, RMIT University, Melbourne, Australia

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  • Presents a novel framework for credibility-based trust management and discovery of cloud services
  • Analyzes results from the crawled data on real cloud services
  • Offers a comprehensive survey of the main techniques, frameworks and research prototypes on trust management in cloud computing
  • Includes supplementary material: sn.pub/extras

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xix
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  2. Introduction

    • Talal H. Noor, Quan Z. Sheng, Athman Bouguettaya
    Pages 1-7

  3. Background

    • Talal H. Noor, Quan Z. Sheng, Athman Bouguettaya
    Pages 9-35

  4. Trust Management and Discovery of Cloud Services

    • Talal H. Noor, Quan Z. Sheng, Athman Bouguettaya
    Pages 37-43

  5. Robust and Adaptive Credibility Model

    • Talal H. Noor, Quan Z. Sheng, Athman Bouguettaya
    Pages 45-57

  6. Scalable Availability Model

    • Talal H. Noor, Quan Z. Sheng, Athman Bouguettaya
    Pages 59-68

  7. Cloud Service Crawler Engine

    • Talal H. Noor, Quan Z. Sheng, Athman Bouguettaya
    Pages 69-79

  8. Implementation and Performance Study

    • Talal H. Noor, Quan Z. Sheng, Athman Bouguettaya
    Pages 81-104

  9. Conclusions

    • Talal H. Noor, Quan Z. Sheng, Athman Bouguettaya
    Pages 105-110

  10. Back Matter

    Pages 111-119
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Keywords

About this book

This book describes the design and implementation of Cloud Armor, a novel approach for credibility-based trust management and automatic discovery of cloud services in distributed and highly dynamic environments. This book also helps cloud users to understand the difficulties of establishing trust in cloud computing and the best criteria for selecting a service cloud. The techniques have been validated by a prototype system implementation and experimental studies using a collection of real world trust feedbacks on cloud services. The authors present the design and implementation of a novel protocol that preserves the consumers’ privacy, an adaptive and robust credibility model, a scalable availability model that relies on a decentralized architecture, and a cloud service crawler engine for automatic cloud services discovery. This book also analyzes results from a performance study on a number of open research issues for trust management in cloud environments including distribution of providers, geographic location and languages. These open research issues illustrate both an overview of the current state of cloud computing and potential future directions for the field. Trust Management in Cloud Services contains both theoretical and applied computing research, making it an ideal reference or secondary text book to both academic and industry professionals interested in cloud services. Advanced-level students in computer science and electrical engineering will also find the content valuable.

Authors and Affiliations

  • College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia

    Talal H. Noor

  • School of Computer Science, The University of Adelaide, Adelaide, Australia

    Quan Z. Sheng

  • School of Computer Science and Information Technology, RMIT University, Melbourne, Australia

    Athman Bouguettaya

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