Mobile Cloud Computing Models, Implementation, and Security

Mobile Cloud Computing: Models, Implementation, and Security provides a comprehensive introduction to mobile cloud computing, including key concepts, models, and relevant applications. The book focuses on novel and advanced algorithms, as well as mobile app development. The book begins with an overview of mobile cloud computing concepts, models, and service deployments, as well as specific cloud service models. It continues with the basic mechanisms and principles of mobile computing, as well as virtualization techniques. The book also introduces mobile cloud computing architecture, design, key techniques, and challenges. The second part of the book covers optimizations of data processing and storage in mobile clouds, including performance and green clouds. The crucial optimization algorithm in mobile cloud computing is also explored, along with big data and service computing. Security issues in mobile cloud computing are covered in-depth, including a brief introduction to security and privacy issues and threats, as well as privacy protection techniques in mobile systems. The last part of the book features the integration of service-oriented architecture with mobile cloud computing. It discusses web service specifications related to implementations of mobile cloud computing. The book not only presents critical concepts in mobile cloud systems, but also drives readers to deeper research, through open discussion questions. Practical case studies are also included. Suitable for graduate students and professionals, this book provides a detailed and timely overview of mobile cloud computing for a broad range of readers.

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

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 70 peer-reviewed journal or conference papers, and has been granted three IEEE Best Paper Awards and two IEEE Best Student Paper Awards. His research interests include cloud computing, cyber security, combinatorial optimization, business process modeling, enterprise architecture, and Internet computing.