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A case for software-defined code scheduling based on transparent computing

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Abstract

Although cloud computing has made significant achievement, it still faces many challenges, such as bad interactive performance and unsatisfying user experience over a long-haul wide-area or wireless network. To address these challenges, we proposed a software-defined stream-based code scheduling framework according to the concept of transparent computing. This framework uses the idea of code streaming to decouple the computation and storage of software codes; this idea also leverages the input/output virtualization technique to support legacy operating systems and application software in a feasible and effective way. The software-defined code scheduling framework allows the computation or storage to be adaptively carried out at appropriate machines with the assistance of performance and capacity monitoring facilities. Thus, the framework can improve application performance and user experiences by executing software codes on a nearer or better machine. We developed a pilot system to investigate the advantages of the proposed framework. Preliminary experimental results show that our approach can achieve better performance than current cloud computing-based systems.

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Notes

  1. Note that there are different approaches to migrating the computation and storage of a computing task. In this paper, we use the virtual machine technology to encapsulated a computing task as a virtual appliance or virtual desktop [12, 13] in cloud computing and thus use the virtual machine migration technique to migrate a computing task.

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Acknowledgments

This work is supported by the Tsinghua University Initiative Scientific Research Program (Grant No.: 20161080066) and the International Science & Technology Cooperation Program of China (Grant No.: 2013DFB10070).

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Authors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, People’s Republic of China

    Yuezhi Zhou, Di Zhang & Xiang Lan

  2. School of Information Science and Engineering, Central South University, Changsha, 410083, People’s Republic of China

    Wenjuan Tang & Yaoxue Zhang

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  1. Yuezhi Zhou
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  2. Wenjuan Tang
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  3. Di Zhang
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  4. Xiang Lan
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  5. Yaoxue Zhang
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Corresponding authors

Correspondence to Yuezhi Zhou or Di Zhang.

Additional information

This article is part of the Topical Collection: Special Issue on Transparent Computing

Guest Editors: Jiannong Cao, Jingde Cheng, Jianhua Ma, and Ju Ren

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Zhou, Y., Tang, W., Zhang, D. et al. A case for software-defined code scheduling based on transparent computing. Peer-to-Peer Netw. Appl. 11, 668–678 (2018). https://doi.org/10.1007/s12083-017-0552-x

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