Qiu / Gai Mobile Cloud Computing

Models, Implementation, and Security
1. Auflage 2017
ISBN: 978-1-4987-9610-1
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 320 Seiten

Current developments in mobile technologies and wireless networks enable the implementation of cloud-based services to be delivered by mobile devices. This is becoming a mainstream approach for deploying cloud services. This book is designed to instruct graduate students and professionals on the fundamental concepts, theoretical models, current implementations, security issues, and relevant techniques in mobile cloud computing. The book will present essential theoretical knowledge concerning mobile cloud computing, supported by a series of practical case studies. The case studies will be designed to help learners understand the body of knowledge in a gradual and incremental way.

Autoren/Hrsg.

Qiu, Meikang

Gai, Keke

Fachgebiete

• Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
• Mathematik | Informatik Mathematik Mathematik Allgemein
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung

Inhaltsverzeichnis

SECTION I BASIC CONCEPTS AND MECHANISMS OF MOBILE CLOUD COMPUTING

Overview of Cloud Computing

Introduction

Concept Of Cloud Computing

Characteristics Of Cloud Computing

Basic Cloud Computing Service Models

Cloud Services Deployments

Exercises

Glossary

Specific Cloud Service Models

Desktop as a service

Storage as a service

Database as a service

Back end as a service

Information as a service

Integration as a service

Security as a service

Management/ Governance as a service

Other Specific Cloud Service Models 38

Exercises

Glossary

Basic Mechanisms and Principles of Mobile Cloud Computing

Introduction

Mobile Computing

Wireless Networks

Main Techniques in Cloud Computing

Exercises

Glossary

Mobile Cloud Computing Architecture Design, Key Techniques, and Challenges

Introduction

Cloud Computing Architecture

Architecture of Mobile Cloud Computing

Crucial Management Strategies for Distributed Clouds

Optimization Mechanisms of Hybrid Cloud Computing

Security Challenges and Solutions In Mobile Clouds

Summary

Exercises

Glossary

SECTION II OPTIMIZATIONS OF DATA PROCESSING AND STORAGE IN MOBILE CLOUDS

Basic Optimizations: A Perspective of Cloud Computing Performances

Introduction

Cloud Computing Performances

Green Cloud Computing

Further Reading

Summary

Exercises

Glossary

Preemptable Algorithms Executions in Mobile Cloud Systems

Introduction

Preemptable Scheduling in Iaas

Resource Allocation Algorithms in Cloud Computing

Further Reading

Summary

Exercises

Glossary

Big Data and Service Computing in Cloud Computing

Introduction

Overview of Big Data

Phase reconfigurable Shuffle Optimization

Further Reading

Summary

Exercises

Glossary

SECTION III SECURITY ISSUES AND SOLUTIONS IN MOBILE CLOUD SYSTEMS

Security and Privacy Issues and Threats in Mobile Cloud Computing

Introduction

Main Security and Privacy Problems

Threat Taxonomy

Threat Models

Further Reading

Summary

Exercises

Glossary

Privacy Protection Techniques in Mobile Cloud Computing

Introduction

Crucial Security Dimensions

Security and Privacy Solutions

Further Reading

Summary

Exercises

Glossary

SECTION IV INTEGRATING SERVICE-ORIENTED ARCHITECTURE WITH MOBILE CLOUD COMPUTING

Web Services in Cloud Computing

Introduction

Overview of Service oriented Architecture

Integrating Service oriented Architecture with Cloud Computing Summary

Exercises

Glossary

SECTION V APPENDICES

Sample of Course Project

Sample of Exam Sheet

Über Autor(innen)

Meikang Qiu is an associate professor of computer science at Pace University, and an adjunct professor at Columbia University. He is an IEEE/ACM Senior Member, as well as Chair of the IEEE STC (Special Technical Community) on Smart Computing. He is an associate editor of a dozen of journals including IEEE Transactions on Computers and IEEE Transactions on Cloud Computing. He has published 320+ peer-reviewed journal/conference papers and won 10+ Best Paper Awards.

Keke Gai is pursuing his PhD at Pace University. He has published over 60 peer-reviewed journal or conference papers, and has received three IEEE Best Paper Awards. His research interests include cloud computing, cyber security, combinatorial optimization, business process modeling, enterprise architecture, and Internet computing.