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1. A Security Assessment Model for Docker Cluster | |||
WU Lufeng,ZHANG Hua,Dong Cui,TU Tengfei | |||
Computer Science and Technology 22 November 2017 | |||
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Abstract:Docker containers that are rapidly being used in cloud computing but recently are subject to security challenges. This paper mainly studies the security of the architecture based on Docker. The paper evaluate the single Docker container by the best practice and propose a cluster security evaluation method based on Bayesian network model. The paper designed and implements a container cluster evaluation tool. Finally, experiments are conducted to assess Docker cluster with different security configurations. By comparing the results, the assessment model can correctly demonstrate the overall security of the container cluster. | |||
TO cite this article:WU Lufeng,ZHANG Hua,Dong Cui, et al. A Security Assessment Model for Docker Cluster[OL].[22 November 2017] http://en.paper.edu.cn/en_releasepaper/content/4742010 |
2. A mobile devices energy measurement model for data compression and transmission | |||
ZHANG Yu,JIANG Xiangzhou,LIN Anhua,ZHANG Jianzhong | |||
Computer Science and Technology 22 December 2015 | |||
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Abstract:Cloud service has been widely used in people's daily life for its convenience and security. In general, there are two sub processes in the course of the interaction mobile devices and cloud servers: data compression and transmission. The former compresses data to save transmission time and data traffic. The latter push data to cloud servers for further processing from the mobile devices. However, both processes operate at a high energy consumption, which introduce extra energy cost to the energy-hungry mobile device and reduce the degree of user experience. In this paper, we present a test methodology for evaluating energy cost on mobile devices, and propose a power module for analyzing the energy consumption during data compression and transmission. In order to analyze the power consumption, we first investigate these two sub processes-data compression and data transmission in detail. Then we present an energy measurement methodology to perform energy detection for components on smartphones. Then we propose an energy cost model for data compression and transmission to describe the energy consumption during the interaction process. Finally we apply the energy measurement methodology to the experiment for different data compression and data transmission methods, and find an energy efficient data compression method for these two sub processes. The result shows when the transmission rate reaches 800KB/s, the zip method only costs 52.4% energy of the second energy-efficient method. | |||
TO cite this article:ZHANG Yu,JIANG Xiangzhou,LIN Anhua, et al. A mobile devices energy measurement model for data compression and transmission[OL].[22 December 2015] http://en.paper.edu.cn/en_releasepaper/content/4668095 |
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