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Building Your Private Cloud Storage on Public Cloud Service Using Embedded GPUs

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Security and Privacy in Communication Networks (SecureComm 2018)

Abstract

When the public cloud provides infrastructure as a service (IaaS), the customer can outsource its data to the public cloud and release itself from the burden of storing data locally. At this point, the customer can not guarantee the security of the data in the public cloud. Encrypting data before using cloud storage is a viable solution, but frequent data encryption operations cause the original limited local computing resources to be even more stretched. In this paper, we used Jetson TX1 to build a client-side data encryption device that proxies the customer’s data encryption and decryption operations. Firstly, a GPU-based SM4 implementation is carefully scheduled in the integrated GPU on Jetson TX1, including instruction-level optimization and variable improvement for data arrangement. Secondly, using zero-copy access on the device, we reduce the impact of explicit data transfer operations on overall performance. Finally, our SM4 kernel is capable of encrypting data at 30.30 Gbps on Jetson TX1, it is 26.6 times faster than the CPU-based implementation on the same platform. Furthermore, data processing throughput of the device reaches 30.19Gbps, a single Jetson TX1 owns sufficiently redundant computational power for the customer in 10 Gigabit fiber network environment.

W. Cheng—This work was partially supported by National 973 Program of China under Award No. 2014CB340603, National Natural Science Foundation of China under Award No. 61772518 and National Key R&D Program of China under Award No. 2017YFB0802103.

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Authors and Affiliations

  1. Data Assurance and Communication Security Research Center, Beijing, China

    Wangzhao Cheng, Fangyu Zheng, Wuqiong Pan, Jingqiang Lin, Huorong Li & Bingyu Li

  2. State Key Laboratory of Information Security, Institute of Information Engineering, CAS, Beijing, China

    Wangzhao Cheng, Fangyu Zheng, Wuqiong Pan, Jingqiang Lin, Huorong Li & Bingyu Li

  3. School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China

    Wangzhao Cheng, Huorong Li & Bingyu Li

Authors
  1. Wangzhao Cheng
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  2. Fangyu Zheng
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  3. Wuqiong Pan
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  4. Jingqiang Lin
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  5. Huorong Li
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  6. Bingyu Li
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Corresponding author

Correspondence to Fangyu Zheng .

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Editors and Affiliations

  1. Klaus Advanced Computing Building, Georgia Institute of Technology, Atlanta, GA, USA

    Raheem Beyah

  2. Singapore Management University, Singapore, Singapore

    Bing Chang

  3. School of Information Systems, Singapore Management University, Singapore, Singapore

    Yingjiu Li

  4. Pennsylvania State University, University Park, PA, USA

    Sencun Zhu

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Cheng, W., Zheng, F., Pan, W., Lin, J., Li, H., Li, B. (2018). Building Your Private Cloud Storage on Public Cloud Service Using Embedded GPUs. In: Beyah, R., Chang, B., Li, Y., Zhu, S. (eds) Security and Privacy in Communication Networks. SecureComm 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-030-01701-9_28

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  • DOI: https://doi.org/10.1007/978-3-030-01701-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01700-2

  • Online ISBN: 978-3-030-01701-9

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