Mobile Applications Development with Android : Technologies and Algorithms book cover
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Mobile Applications Development with Android
Technologies and Algorithms




ISBN 9781498761864
Published December 13, 2016 by Chapman and Hall/CRC
290 Pages - 163 B/W Illustrations

 
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Book Description

Mobile Applications Development with Android: Technologies and Algorithms presents advanced techniques for mobile app development, and addresses recent developments in mobile technologies and wireless networks. The book covers advanced algorithms, embedded systems, novel mobile app architecture, and mobile cloud computing paradigms.

Divided into three sections, the book explores three major dimensions in the current mobile app development domain. The first section describes mobile app design and development skills, including a quick start on using Java to run an Android application on a real phone. It also introduces 2D graphics and UI design, as well as multimedia in Android mobile apps.

The second part of the book delves into advanced mobile app optimization, including an overview of mobile embedded systems and architecture. Data storage in Android, mobile optimization by dynamic programming, and mobile optimization by loop scheduling are also covered. The last section of the book looks at emerging technologies, including mobile cloud computing, advanced techniques using Big Data, and mobile Big Data storage.

About the Authors

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.

Wenyun Dai is pursuing his PhD at Pace University. His research interests include high performance computing, mobile data privacy, resource management optimization, cloud computing, and mobile networking. His paper about mobile app privacy has been published in IEEE Transactions on Computers.

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.

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Table of Contents

Mobile App Design and Development Skills

Overview of Mobile App and Mobile Interface
Mobile System
Mobile Interface and Applications
Mobile Cloud

Quick Start on Android
Installing Java
nstalling Integrate Development Environment
Installing Android SDK
Creating an Android Application
Android Virtual Device

Introduction of Key Concepts of Android
App Components
App Resources
App Mainfest

2D Graphics and Multimedia in Android
Introduction of 2D Graphics Techniques
Advanced UI Design
Overview of Multimedia in Android
Audio Implementations in Android
Executing Video in Android

Advanced Mobile App Optimizations

Mobile Embedded System Architecture
Embedded Systems
Scheduling Algorithms
Memory Technology
Mobile Embedded Systems
Messaging and Communication Mechanisms

Data Storage and SQLite Operations
Local Data
SQLite Database
Content Provider

Mobile Optimization by Dynamic Programming
Introduction of heterogeneous embedded systems and dynamic programming
Fixed Time Model
Probabilistic Time Model
Nondeterministic Polynomial Time Problems

Mobile Optimizations by Loop Scheduling
Introduction
Basic Graph Models and Techniques
Fundamental Timing Optimizations
Time and Power Optimizations with Loop Scheduling
Conclusions

Mobile Apps Techniques in Emerging Technologies

Mobile Cloud Computing in Mobile Applications Deployment
Introduction
Concepts of Mobile Cloud Computing
Main Techniques of Mobile Cloud Computing
Mobile Cloud Computing Architecture

Efficient Data Synchronization on Mobile Devices in Big Data
Overview of Big Data
Big Data Processing
Mobile Big Data Storage
Security and Privacy Issues
Data Deduplication

Appendices
Appendix 1: Project 1
Appendix 2: Project 2
Appendix 3: BirthProvider.java. Codes

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Author(s)

Biography

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.

Wenyun Dai is pursuing his PhD at Pace University. His research interests include high performance computing, mobile data privacy, resource management optimization, cloud computing, and mobile networking. His paper about mobile app privacy has been published in IEEE Transactions on Computers.

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.