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A Dynamic Adjustment Method of Service Function Chain Resource Configuration
( Xiaoyang Han ),( Xiangru Meng ),( Zhenhua Yu ),( Dong Zhai ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.8
In the network function virtualization environment, dynamic changes in network traffic will lead to the dynamic changes of service function chain resource demand, which entails timely dynamic adjustment of service function chain resource configuration. At present, most researches solve this problem through virtual network function migration and link rerouting, and there exist some problems such as long service interruption time, excessive network operation cost and high penalty. This paper proposes a dynamic adjustment method of service function chain resource configuration for the dynamic changes of network traffic. First, a dynamic adjustment request of service function chain is generated according to the prediction of network traffic. Second, a dynamic adjustment strategy of service function chain resource configuration is determined according to substrate network resources. Finally, the resource configuration of a service function chain is pre-adjusted according to the dynamic adjustment strategy. Virtual network functions combination and virtual machine reusing are fully considered in this process. The experimental results show that this method can reduce the influence of service function chain resource configuration dynamic adjustment on quality of service, reduce network operation cost and improve the revenue of service providers.
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Probabilistic Load Flow Analysis Based on Sparse Polynomial Chaotic Expansion
Hongsheng Su,Xiaoyang Dong,Xiaoying Yu 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.2
To aim at the defciencies of the traditional second-order polynomial chaotic expansion with more input variables and larger calculation quantities applied in power systems probabilistic load fow (PLF) calculation, an improved PLF method is proposed based on sparse polynomial chaotic expansion theory in this paper. In this method, to obtain the sparse expression of the polynomial chaotic expansion (PCE) and reduce calculation quantity, the quadratic cross terms in the second-order PCE are eliminated by Sobol sensitivity analysis. And then, Nataf transformation is used to control the correlation among nonnormal input variables. Through comparison on computational efciency between probabilistic collocation point method and random sampling method in the sparse polynomial chaotic expansion, the probabilistic collocation point method is selected to suit samples allocation. By applying in IEEE-9, IEEE-30, and IEEE-118 standard test systems, respectively, the results show that the proposed method can dramatically reduce the deterministic PLF calculations quantity compared with the traditional stochastic response surface method (SRSM), and possesses the same accuracy as Monte Carlo method, and is an efective solving method for some high-dimensional input variable systems.
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Yan Zhao,Xiaoyang Ren,Wen Qiao,Lei Dong,Shuixiang He,Yan Yin 대한소화기 기능성질환∙운동학회 2019 Journal of Neurogastroenterology and Motility (JNM Vol.25 No.2
Background/Aims High-resolution anorectal manometry (HRAM) has been considered a first-line diagnostic tool for functional defecation disorder. However, clinical studies on HRAM used in constipation patients are very limited and few studies have reported the characteristics of anorectal pressure in Chinese patients. The aim of this study is to investigate the characteristics of motility data in a cohort of Chinese patients with functional constipation. Methods A total of 82 consecutive patients with functional constipation who underwent a standardized HRAM were retrospectively enrolled in this study. The functional defecation disorder was classified into Rao’s types. Results The mean age of 82 patients was 51 years (range, 16–83 years). Indications for anorectal manometry were functional constipation for all patients. The mean resting pressure was 69.2 ± 21.2 mmHg (range, 24.5–126.9 mmHg). The mean maximum squeezing pressure was 198.4 ± 75.6 mmHg (range, 54.2–476.9 mmHg). The mean length of the anal high pressure zone was 3.4 ± 1.0 cm (range, 0.6–4.9 cm). Sixty (73.2%) patients were diagnosed as functional defecation disorder. In attempted defecation, type I was most common (n = 24), followed by type II (n = 12), type III (n = 11), and type IV (n = 13) that were present on HRAM according to Rao’s classification. In all 60 patients with functional defecation disorder, 37 were women and 23 were men. Men were significantly more likely than women to have functional defecation disorder (92.0% vs 64.9%, P = 0.014). Conclusion HRAM could be used as a test for the diagnosis of functional defecation disorder and functional defecation disorder is common in Chinese patients with functional constipation.
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