Design and implementation of platform-independent offloading system for a mobile web environment

다국어 초록 (Multilingual Abstract)

Increasingly, smart phones are becoming one of the most popular mobile devices in personal computing environment. As the need for a variety of mobile applications is increasing, the target mobile platform is a primary concern for mobile application developers. To reduce design complexity for different platforms and enhance the compatibility of applications on various mobile OSes, a JavaScript-based web environment became a main target framework for smart phone applications. Computing-intensive and rich graphics-based applications in a smart phone may fully utilize the CPU, and consume a large amount of the battery power accordingly. In this paper, we propose a platform-independent offloading system, which is a delegated system for a mobile web environment. Our offloading architecture is implemented in a built-in proxy system where the original web resources are selectively divides into a lightweight client code and a computationally heavy code running on the server system. Our evaluation shows that our mobile offloading system increases the response time of the application running in the web browser, and enables a high workload application to run on relatively low-end mobile devices. In addition, this method reduces power consumption of the device. Therefore, our web-based offloading architecture creates a new mobile computing environment, and can be applied various OS platforms of mobile devices.

목차 (Table of Contents)

• I. Introduction 1
• 1.1 Motivation: Emergence of Mobile Devices
• 1.2 Contributions
• II. Background and Related Work 5
• 2.1 CloundCloud 5
• 2.2 MAUI 6
• 2.3 Game Cloud 6
• 2.4 Saving Power on Mobile device 7
• III. Design and Implementation 9
• 3.1 Mobile Offloading Architecture 9
• 3.2 Programmer’s Annotation 11
• 3.3 Code Division in the Client-Server Model 13
• 3.4 Fault Tolerance 15
• IV. Case Study 15
• 4.1 Adapting into Web Application 15
• 4.2 Mobile Offloading Function Flow 17
• V. Performance Evaluation 20
• 5.1 Experiment Setup 22
• 5.2 Application Response Time 22
• 5.2.1 Response Time in High-End Device 22
• 5.2.2 Response Time in Low-End Device 22
• 5.2.3 Response Time in Difference Network Connections 24
• 5.3 Network Usage Overhead 26
• 5.4 CPU Utilization 27
• 5.5 Stress Test 28
• 5.6 Power Consumption 29
• VI. Integration into Proxy system with offloading APIs 35
• VII. Conclusion 37
• References 39
• 초 록 42
• Acknowledgement 43