Mobile Applications Development with Android: Technologies and Algorithms, 1st Edition (Hardback) book cover

Mobile Applications Development with Android

Technologies and Algorithms, 1st Edition

By Meikang Qiu, Wenyun Dai, Keke Gai

Chapman and Hall/CRC

290 pages | 163 B/W Illus.

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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

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.

Subject Categories

BISAC Subject Codes/Headings:
COM012040
COMPUTERS / Programming / Games
COM051010
COMPUTERS / Programming Languages / General
COM051230
COMPUTERS / Software Development & Engineering / General
COM060000
COMPUTERS / Internet / General