Abstract
In the existing network computing system, the increasingly serious performance problems and endless security problems constantly troubled users and developers. Although the emergence of transparent computing, edge computing and fog computing alleviates this situation to some extent, they still do not fully utilize the collaborative computing power of server side and end-user. In order to address these problems, a new computing and loading model based on hypervisor, which is also called module-level software streaming loading model, will be introduced in this paper. Besides, Cleanroom Protocol and On-demand Prefetching Mechanism will be discussed in this paper. Based on this model, the system does not need to wait for OS or software data download completely when a device or a program to startup. It means the corresponding services can be immediately directly used or accessed by users. This solution can effectively reduce the waiting time for users and improve the user experience. Through a variety of comparative analyses, this model is proved to be an efficient and safe solution for the future computing and loading infrastructure.
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Acknowledgments
This work is supported in part by the Changsha Science and Technology Project of Changsha Science and Technology Bureau No. kq1701089, in part by the National Natural Science Foundation of China under Grants Nos. 61632009, 61772194 and 61472451, in part by the Guangdong Provincial Natural Science Foundation under Grant 2017A030308006 and High-Level Talents Program of Higher Education in Guangdong Province under Grant 2016ZJ01. The authors would like to thank the anonymous reviewers, guest editors and the participants of this project for their helpful comments.
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Duan, L., Qi, F., Wang, G., Tang, Z. (2017). Module-Level Software Streaming Loading Model Based on Hypervisor. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10658. Springer, Cham. https://doi.org/10.1007/978-3-319-72395-2_57
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