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RDDSACCGA: a reliable data distribution solution assisted by cloud computing based on genetic algorithm

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Abstract

The reliable information distribution service has turned into an significant component of prevailing Internet information system, which carries out various kinds of information systems’ basic roles including information sharing, document transport, on-line education and distant medical conference. However, the cloud computing technologies have been speedily risking in recent years because of excellent dependability, downcast cost, its ready expansion and other pluses. In combination with the pluses of cloud computing in sessions of cost and technology, the study on cloud-computing-assisted reliable information distribution technologies consequently is a challengeable and realistic issue. In this paper, the in-depth analysis on the flavours of reliable information distribution and cloud computing and their relationships, the advanced proposing of a model of promoting cloud-computing-assisted reliable information distribution’s structure, the study on the cloud-computing-assisted information recuperation and mistake control theory on the basis of aforementioned model simultaneously opened onto the introduction of a set of readily deployable, cloud-computer-assisted, and reliable information distribution service system adopted the genetic algorithm to training the template which generate by using a subset of lineaments. It is expected that the research results will be broadened to the cloud that computes services and meanwhile provide the reliable information distribution with technological supports and new ideas, which shall hold significant realistic and theoretical values.

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Acknowledgements

This work was supported by Shandong Provincial Natural Science Foundation of China (Grant Nos. ZR2015YL019, ZR2016YL001 and ZR2016YL008) and the National Natural Science Foundation of China (Grant Nos. 61272433 and 61472230).

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Authors and Affiliations

  1. Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, 250000, China

    Wei Zhang, Xinchang Zhang & Huiling Shi

  2. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266510, China

    Wei Zhang & Longquan Zhou

Authors
  1. Wei Zhang
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  2. Xinchang Zhang
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  3. Huiling Shi
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  4. Longquan Zhou
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Correspondence to Wei Zhang.

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Zhang, W., Zhang, X., Shi, H. et al. RDDSACCGA: a reliable data distribution solution assisted by cloud computing based on genetic algorithm. Cluster Comput 22 (Suppl 5), 11069–11077 (2019). https://doi.org/10.1007/s10586-017-1299-0

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  • DOI: https://doi.org/10.1007/s10586-017-1299-0

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