Abstract
How to make a reliable and efficient replica is an important aspect of data replication management, which involves data transmission, including bandwidth application, mobility and bandwidth release. Although data transmission is an important aspect of data intensive applications, there are still some problems in data transmission processing technology.
In view of the problems existing in the transmission process of data replication, this paper studies some popular data transmission services, points out the defects in the massive information processing business process in the cloud computing environment, and then proposes an unsupervised data transmission scheduling model, which adopts a transmission strategy called DRFT to realize the automatic division of data transmission process, and Each stage is managed by “job” scheduling. Finally, the difference of reliability and performance between DRFT and GridFTP is analyzed through comparative experiments.
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Liu, G., Zhou, W., Dai, Y., Xu, H., Wang, L. (2020). Unsupervised Data Transmission Scheduling in Cloud Computing Environment. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_20
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DOI: https://doi.org/10.1007/978-3-030-57881-7_20
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