标题：RDDSACC: A reliable data distribution solution assisted by cloud computing
作者：Zhang, Wei ;Zhang, Xinchang ;Shi, Huiling ;Zhou, Longquan
作者机构：[Zhang, Wei ;Zhang, Xinchang ;Shi, Huiling ] Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Super 更多
会议名称：15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017
会议日期：December 12, 2017 - December 15, 2017
来源：Proceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017
摘要：The reliable data distribution service has become an important component of current Internet information system, which performs the basic functions of various information systems including document transportation, data sharing, remote medical consultation and online education. However, the cloud computing technologies have been rapidly risking in recent years due to its ready expansion, high reliability, low cost and other advantages. Therefore, in combination with the advantages of cloud computing in terms of technology and cost, the research on cloud-computing-Assisted reliable data distribution technologies is a practical and challengeable topic. In this paper, the in-depth analysis on the characteristics of reliable data distribution and cloud computing and their relations, the innovative proposing of a model of forwarding structure of cloud-computing-Assisted reliable data distribution, the research on the cloud-computing-Assisted data recovery and error control theory on the basis of aforementioned model together led to the introduction of a set of readily deployable, cloud-computer-Assisted, and reliable data distribution service system. The research results are expected to be extended to the cloud computing services and meanwhile provide new ideas and technological supports for the reliable data distribution, which shall have important theoretical and practical values.
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