Abstract
The traditional App Store based application distribution model is facing some challenges such as poor manageability, mobile device storage capacity limits and frequent application updates. We propose an application streaming based mobile application distribution method to address these challenges. In our method, application is installed, updated and uninstalled in server. User simply select the application to execute and it is been executed in a streaming way. This method enable manageability for mobile application distribution and more personalized mobile application experience. In addition, this method can help solve the storage capacity constraint of mobile device and the frequent application updates. We also use local cache mechanism to save network traffic and improve application loading time. Evaluation show that cache mechanism can save 84.9 % traffic compared with the non-caching streaming and 43.9 % traffic than App Store based application distribution method.
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Acknowledgments
This work is supported in part by the National Natural Science Foundation of China under Grant Numbers 61272151, 61472451 and 61309025, the International Science & Technology Cooperation Program of China under Grant Number 2013DFB10070, the Hunan Provincial Natural Science Foundation of China under Grant Number 13JJ4016, the China Hunan Provincial Science & Technology Program under Grant Number 2012GK4106, and the “Mobile Health” Ministry of Education - China Mobile Joint Laboratory (MOE-DST No. [2012]311).
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Yang, W., Jia, L., Wang, G. (2015). Application Streaming: A Mobile Application Distribution Method. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9528. Springer, Cham. https://doi.org/10.1007/978-3-319-27119-4_21
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DOI: https://doi.org/10.1007/978-3-319-27119-4_21
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