2018 Vol.1 Aug No.4

• Title: The Android platform cloud computing mass data efficient scheduling model
• Name: Anita Fiona
• Company: Youngsan University, Korea
• Abstract:

  Android operating system are the most popular operating system for wireless hand-held devices, using cloud computing technology more efficiently handling large scale data, cloud computing is the commonly used scheduling technology needs to be user jobs assigned to the resource of reasonable implementation, low scheduling problem. Is proposed based on application service quality restriction of huge amounts of data scheduling model, analyzes the Android platform cloud mass data scheduling principle, the Android platform vector to describe user demand and resource nodes, make sure to provide on the basis of simulation calculation independently, based on the service quality parameter vector, the Android platform cloud mass data matching and task scheduling resources, can accurately determine the user's different quality of service requirements, to provide users with in accordance with the requirements of resources, reduce into service quality scheduling overhead after the match, to achieve efficient scheduling of huge amounts of data. The execution time of the experimental results show that the proposed scheduling model is better than the traditional model, user satisfaction, and the proposed scheduling model under the Android platform has lower rate of CPU load, cloud computing is a kind of efficient Android platform mass data scheduling model.

• Keyword: The Android platform; Cloud computing; Huge amounts of data; Efficient scheduling
• DOI: 10.12250/jpciams2018040117
• Citation form: Anita Fiona.The Android platform cloud computing mass data efficient scheduling model[J]. Computer Informatization and Mechanical System, 2018, vol. 1, pp. 11-15.

[1] Lin Liyu, Chen Yunhai, Zhang Min, et al. Cloud computing technology and operational feasibility analysis[J].Guangdong Communication Technology,2008(12): 33-38.
[2]Chen Kang, Zheng Weimin. Cloud Computing: System Examples and Research Status[J].Journal of Software,2009,20(5):1337-1348.
[3] Chen Quan, Deng Qianni. Cloud computing and its key technologies[J].Computer Applications, 2009, 29(9): 2562-2566.
[4] Tan Yali, Yu Wei, Deng Dinglan, etc. Grid Task Scheduling Algorithm Based on Multidimensional Quality of Service Restriction[J].Computer Engineering,2010,36(12):75-77.
[5] Zhu Zhu. Research and application of massive data processing model based on Hadoop [D]. Beijing: Beijing Post and Telecommunications, 2008.