Researchers from Hohai University Describe Findings in Data Monitoring (Performance Modeling for Data Monitoring Services In Smart Grid: a Network Calculus Based Approach)
- Sep 15, 2020 3:12 pm GMTSep 15, 2020 6:16 pm GMT
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2020 SEP 14 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Daily -- Research findings on Information Technology - Data Monitoring are discussed in a new report. According to news originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “This paper focuses on solving the modeling issues of monitoring system service performance based on the network calculus theory. First, we formulate the service model of the smart grid monitoring system.”
Funders for this research include National Key Research and Development Program of China, BNRist Program, Tsinghua-Toyota Joint Research Institute Cross-discipline Program.
Our news journalists obtained a quote from the research from Hohai University, “Then, we derive the flow arrival curve based on the incremental process related functions. Next, we develop flow arrival curves for the case of the incremental process being a fractional Gaussian process, and then we obtain the generalized Cauchy process. Three technical theorems related to network calculus are presented as our main results. Mathematically, the variance of arrival flow for the continuous time case is derived. Assuming that the incremental process of network flow is a Gaussian stationary process, and given the auto-correlation function of the incremental process with violation probability, the formula of the arrival curve is derived. In addition, the overall flow variance under the discrete time case is explicitly derived. The theoretical results are evaluated in smart grid applications.”
According to the news editors, the research concluded: “Simulations indicate that the generalized Cauchy process outperforms the fractional Gaussian process for our considered problem.”
For more information on this research see: Performance Modeling for Data Monitoring Services In Smart Grid: a Network Calculus Based Approach. CSEE Journal of Power and Energy Systems, 2020;6(3):610-618. CSEE Journal of Power and Energy Systems can be contacted at: China Electric Power Research Inst, 15, Qinghe Xiaoying Dong Lu, Haidian-Qu, Beijing, 100192, Peoples R China.
The news correspondents report that additional information may be obtained from Haochen Hua, Hohai University, College of Energy & Electrical Engineering, Nanjing 211100, People’s Republic of China. Additional authors for this research include Junwei Cao, Yuxin Wan and Gang Yang.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.17775/CSEEJPES.2019.01410. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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