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Containerized resource provisioning framework for multimedia big data application

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Abstract

Container, as a light-weight virtualization solution, provides secure and effective approaches to control and limit access to resources for multimedia data and applications. However, due to the complexity of the containerized computing environment, setting up runtime configuration presents a great challenge for non-computational domain specialists without much knowledge of service-oriented computing and virtualization. In this paper, fuzzy-logic-based approaches are proposed to simplify the user preferences representation and automate the processes of container environment setup. By using fuzzy inference techniques, the approach allows users to define non-quantifiable factors and policies to represent their preferences, and automatically converts the vague requirements to numeric parameters and runtime deployment. Compared to classical methods, the proposed approach presents only the information relevant to user’s requirements and preferences. The validation results show that with appropriate customization steps and natural interfaces, user preferences can be reflected effectively in the final configurations of containers. Furthermore, a fuzzy-logic-based schedule algorithm for global container resource allocation is also proposed, and the effectiveness of the provisioning policies are validated by sample use cases.

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Acknowledgments

This research is supported by the National Key Research Development Program of China (No. 2016YFB1001103), Shandong Province Key Research and Development Program (No. 2016GGX103006), and Natural Science Foundation of Shandong Province (No. ZR2014FM015).

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Authors and Affiliations

  1. School of Information & Technology, Qingdao University of Science & Technology, Qingdao, China

    Ye Tao & Xiaodong Wang

  2. Department of Computer Science and Technology, Ocean University of China, Qingdao, China

    Xiaowei Xu

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  1. Ye Tao
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  2. Xiaodong Wang
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  3. Xiaowei Xu
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Correspondence to Xiaowei Xu.

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Tao, Y., Wang, X. & Xu, X. Containerized resource provisioning framework for multimedia big data application. Multimed Tools Appl 77, 11439–11457 (2018). https://doi.org/10.1007/s11042-017-5366-6

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  • DOI: https://doi.org/10.1007/s11042-017-5366-6

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