期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
Communications in Industrial Monitor Software 被引量:1
1
作者 CAO Min, ZHOU Qing-hua, ZHANG Yue School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China 《Advances in Manufacturing》 SCIE CAS 2000年第S1期94-97,共4页
Almost all industrial monitor software utilizes network communication. This paper mainly describes how the industrial monitor application selects the communication method. It also details some implementing techniques.
关键词 industrial monitor software Windows sockets TCP/IP MFC
下载PDF
Trident: Efficient and Practical Software Network Monitoring 被引量:2
2
作者 Xiaohe Hu Yang Xiang +3 位作者 Yifan Li Buyi Qiu Kai Wang Jun Li 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2021年第4期452-463,共12页
Network monitoring is receiving more attention than ever with the need for a self-driving network to tackle increasingly severe network management challenges. Advanced management applications rely on traffic data anal... Network monitoring is receiving more attention than ever with the need for a self-driving network to tackle increasingly severe network management challenges. Advanced management applications rely on traffic data analyses, which require network monitoring to flexibly provide comprehensive traffic characteristics. Moreover, in virtualized environments, software network monitoring is constrained by available resources and requirements of cloud operators. In this paper, Trident, a policy-based network monitoring system at the host, is proposed. Trident is a novel monitoring approach, off-path configurable streaming, which offers remote analyzers a fine-grained holistic view of the network traffic. A novel fast path packet classification algorithm and a corresponding cached flow form are also proposed to improve monitoring efficiency. Evaluated in a practical deployment, Trident demonstrates negligible interference with forwarding and requires no additional software dependencies. Trident has been deployed in production networks of several Tier-IV datacenters. 展开更多
关键词 cloud networking software network monitoring network programmability network management
原文传递
Estimation of meteorological drought indices based on AgMERRA precipitation data and station-observed precipitation data 被引量:6
3
作者 Nasrin SALEHNIA Amin ALIZADEH +3 位作者 Hossein SANAEINEJAD Mohammad BANNAYAN Azar ZARRIN Gerrit HOOGENBOOM 《Journal of Arid Land》 SCIE CSCD 2017年第6期797-809,共13页
Meteorological drought is a natural hazard that can occur under all climatic regimes. Monitoring the drought is a vital and important part of predicting and analyzing drought impacts. Because no single index can repre... Meteorological drought is a natural hazard that can occur under all climatic regimes. Monitoring the drought is a vital and important part of predicting and analyzing drought impacts. Because no single index can represent all facets of meteorological drought, we took a multi-index approach for drought monitoring in this study. We assessed the ability of eight precipitation-based drought indices(SPI(Standardized Precipitation Index), PNI(Percent of Normal Index), DI(Deciles index), EDI(Effective drought index), CZI(China-Z index), MCZI(Modified CZI), RAI(Rainfall Anomaly Index), and ZSI(Z-score Index)) calculated from the station-observed precipitation data and the Ag MERRA gridded precipitation data to assess historical drought events during the period 1987–2010 for the Kashafrood Basin of Iran. We also presented the Degree of Dryness Index(DDI) for comparing the intensities of different drought categories in each year of the study period(1987–2010). In general, the correlations among drought indices calculated from the Ag MERRA precipitation data were higher than those derived from the station-observed precipitation data. All indices indicated the most severe droughts for the study period occurred in 2001 and 2008. Regardless of data input source, SPI, PNI, and DI were highly inter-correlated(R^2=0.99). Furthermore, the higher correlations(R^2=0.99) were also found between CZI and MCZI, and between ZSI and RAI. All indices were able to track drought intensity, but EDI and RAI showed higher DDI values compared with the other indices. Based on the strong correlation among drought indices derived from the Ag MERRA precipitation data and from the station-observed precipitation data, we suggest that the Ag MERRA precipitation data can be accepted to fill the gaps existed in the station-observed precipitation data in future studies in Iran. In addition, if tested by station-observed precipitation data, the Ag MERRA precipitation data may be used for the data-lacking areas. 展开更多
关键词 severe drought degree of dryness MDM(Meteorological Drought monitoring software precipitation intensity Middle East
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部