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Container-Based Customization Approach for Mobile Environments on Clouds

  • Jiahuan Hu
  • Song WuEmail author
  • Hai Jin
  • Hanhua Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11204)

Abstract

Recently, mobile cloud which utilizes the elastic resources of clouds to provide services for mobile applications, is becoming more and more popular. When building a mobile cloud platform (MCP), one of the most important things is to provide an execution environment for mobile applications, e.g., the Android mobile operating system (OS). Many efforts have been made to build Android environments on clouds, such as Android virtual machines (VMs) and Android containers. However, the need of customizable Android execution environments for MCP has been ignored for many years, since the existing OS customization solutions are only designed for hardware-specific platforms or driver-specific applications, and taking little account of frequently-changing scenarios on clouds. Moreover, they lack a unified method of customization, as well as an effective upgrade and maintenance mechanism. As a result, they are not suitable for varied and large-scale scenarios on clouds. Therefore, in this paper, we propose a unified and effective approach for customizing Android environments on clouds. The approach provides a container-based solution to custom-tailor Android OS components, as well as a way to run Android applications for different scenarios. Under the guidance of this approach, we develop an automatic customization toolkit named AndroidKit for generating specific Android OS components. Through this toolkit, we are able to boot new Android VM instances called AndroidXs. These AndroidXs are composed of OS images generated by AndroidKit, which can be easily customized and combined for varied demands on clouds.

Keywords

Mobile cloud Execution environment Android Container-based customization approach AndroidKit AndroidX 

Notes

Acknowledgements

This research is supported by National Key Research and Development Program under grant 2016YFB1000501, and National Science Foundation of China under grants No. 61732010 and 61872155.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Services Computing Technology and System Lab, Cluster and Grid Computing LabHuazhong University of Science and TechnologyWuhanChina

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