Unified Monitoring Research Articles

SmartX Multi‐View Visibility Framework for unified monitoring of SDN‐enabled multisite clouds

AbstractModern ICT infrastructures are getting complicated to cope with the various demands to accommodate the emerging technology paradigms such as cloud, SDN, and IoT. In these ICT infrastructures, unified monitoring is essential to easily pinpoint server faults, network bottlenecks, and application performance issues for effective operation. Although many traditional monitoring solutions are now available, unified monitoring has not kept pace, creating a big gap when operating these modern infrastructures. To address this particular limitation, in this paper, a futuristic multilayer visibility framework, denoted as SmartX Multi‐View Visibility Framework (MVF), is proposed by unifying the visibility of physical and virtual resource, flow, and workload layers for timely detection and mitigation of various operational issues. Based on our experience of working with Future Internet testbeds, we first design SmartX MVF to enable visibility collection and validation from distributed MPs. Then, we link it with subsequent visibility integration capability empowered by DataLake‐based visibility storage for interactive visualization of collected visibility. Furthermore, a prototype implementation of SmartX MVF is developed and deployed in OF@TEIN (ie, SDN‐enabled multisite cloud playground), to verify the proposed multiview visibility of fine‐grained flow‐aware physical‐virtual resources.

Intellectual beehives monitoring system

A system for remote monitoring of the parameters of bee hives is considered. The problem of remote monitoring at long distances, taking into account the changing weather factors, is very relevant. Among the variety of hardware for keeping bees, there is currently no unified monitoring system. The studies carried out allowed us to determine the optimal circuitry and software components of the construction of a monitoring system. The result of the development of a system with a local hive monitoring system and a remote data collection system using cloud technologies is presented in this work.
 

Adaptive Unified Monitoring System Design for Tire-Road Information

Knowledge of the tire-road information is not only very crucial in many active safety applications but also significant for self-driving cars. The tire-road information mainly consists of tire-road friction coefficient and road-tire friction forces. However, precise measurement of tire-road friction coefficient and tire forces requires expensive equipment. Therefore, the monitoring of tire-road information utilizing either accurate models or improved estimation algorithms is essential. Considering easy availability and good economy, this paper proposes a novel adaptive unified monitoring system (AUMS) to simultaneously observe the tire-road friction coefficient and tire forces, i.e., vertical, longitudinal, and lateral tire forces. First, the vertical tire forces can be calculated considering vehicle body roll and load transfer. The longitudinal and lateral tire forces are estimated by an adaptive unified sliding mode observer (AUSMO). Then, the road-tire friction coefficient is observed through the designed mode-switch observer (MSO). The designed MSO contains two modes: when the vehicle is under driving or brake, a slip slope method (SSM) is used, and a recursive least-squares (RLS) identification method is utilized in the SSM; when the vehicle is under steering, a comprehensive friction estimation method is adopted. The performance of the proposed AUMS is verified by both the matlab/simulinkCarSim co-simulation and the real car experiment. The results demonstrate the effectiveness of the proposed AUMS to provide accurate monitoring of tire-road information.

A Novel Decentralized Weighted ReliefF-PCA Method for Fault Detection

The decentralized weighted ReliefF-PCA (DWRPCA) method is proposed to improve the performance of principal component analysis (PCA) for fault detection. The improved ReliefF-PCA algorithm is used to select the principal components instead of the traditional cumulative percent variance (CPV) criterion, so that the important information contained in the small variance is considered. The sub-models for different types of faults which are being considered the influence weights of process variables and faults are established respectively to obtain the decentralized weighted model. The Bayesian Information Criterion is adopted to integrate different types of faults for a unified monitoring index. The case study of a numerical example and the Tennessee Eastman process illustrate the effectiveness of the proposed method.

Unified Process Monitoring Strategy for a Facility Engaged In the Production of Multiple Portfolio of Products

The process monitoring strategies have not kept pace with the development in the production systems. Most of the multivariate statistical process monitoring methods deals with single product portfolio. The current article attempts to devise a unified monitoring strategy for monitoring of multiple products or at least different grades of the same product. A case study from an integrated steel plant producing multiple products has been deliberated to validate the monitoring strategy devised. A comparative evaluation of the unified strategy based on the multigroup variant of principal component analysis (PCA) and the individual strategy based on the conventional PCA was carried out on the basis of three parameters viz. the model fit values, fault detection and the fault diagnosis. In all the three parameters, barring some trifling differences, the unified monitoring strategy seems to replicate the individual strategies well.

MONIT: Monitoring the CERN Data Centres and the WLCG Infrastructure

The new unified monitoring architecture (MONIT) for the CERN Data Centres and for the WLCG Infrastructure is based on established open source technologies to collect, stream, store and access monitoring data. The previous solutions, based on in-house development and commercial software, have been replaced with widely- recognized technologies such as Collectd, Kafka, Spark, Elasticsearch, InfluxDB, Grafana and others. The monitoring infrastructure, fully based on CERN cloud resources, covers the whole workflow of the monitoring data: from collecting and validating metrics and logs to making them available for dashboards, reports and alarms. The deployment in production of this new DC and WLCG monitoring is well under way and this contribution provides a summary of the progress, hurdles met and lessons learned in using these open source technologies. It also focuses on the choices made to achieve the required levels of stability, scalability and performance of the MONIT monitoring service.

Fault Detection of Tennessee Eastman Process using Kernel Dissimilarity Scale Based Singular Spectrum Analysis

Singular spectrum analysis (SSA) has become a popular and widely used forecasting and pre-processing technique in time series analysis which is currently exploited in chemical process monitoring and fault detection. Given its increased application and superior performance in comparison to conventional multivariate methods such as Principal Component Analysis (PCA) and Wavelets and its nonlinear extensions, it is relevant to study the variants of SSA and its applications in process monitoring. In this study SSA is combined with Kernel Multidimensional Scaling called Kernel Dissimilarity Scale Based Singular Spectrum Analysis (KDSSA) and is used to detect the faults in the Tennessee Eastman Process (TEP). The methodology is focused on three particular faults which were not observable with conventional multivariate methods and its no nlinear extensions. The monitoring results showed that the proposed method is efficient in detecting those faults in reduced number of modes. A unified monitoring index combined T2 statistics with Q statistics is used to simplify the fault detection task.

Cloud Service for HPC Management: Ideas and Appliance

The paper presents a cloud service aimed to solve promising nanotechnology problems on supercomputer systems. At the present stage of computer technology evolution it is possible to study the properties and processes in complex systems at molecular and even atomic levels. Such calculations require the use of high performance computing systems of various types, for example, GRID systems and HPC clusters. Considering the time consuming computational tasks, the need arises of software for automatic and unified monitoring of such computations, as well as unified environment for data preparation and storage. The preliminary result of the work is a prototype of the complex cloud environment, implemented as a KIAM Multilogin service and an application software accessible from users virtual machines. It consists of a virtual desktop environment, and the web-based application for calculation management, that includes project-management features, remote task execution abilities, storage and monitoring features and basic pre- and post-processing capabilities. The first applications of the service were the software packages GIMM_NANO and Flow_and_Particles, designed to solve the actual problems of nanoelectronics, laser nanotechnology, multiscale problems of applied gas dynamics. In this paper the main ideas, the cloud service based on, the inner structure of the service and the technologies used to build it are considered.

The Multiobjective Based Large-Scale Electric Vehicle Charging Behaviours Analysis

In the paper, the effect of the charging behaviours of electric vehicles (EVs) on the grid load is discussed. The residential traveling historical data of EVs are analyzed and fitted to predict their probability distribution, so that the models of the traveling patterns can be established. A nonlinear stochastic programming model with the maximized comprehensive index is developed to analyze the charging schemes, and a heuristic searching algorithm is used for the optimal parameters configuration. With the comparison of the evaluation criteria, the multiobjective strategy is more appropriate than the single-objective strategy for the charging, i.e., electricity price. Furthermore, considering the characteristics of the normal batteries and charging piles, user behaviour and EV scale, a Monte Carlo simulation process is designed to simulate the large-scale EVs traveling behaviours in long-term periods. The obtained simulation results can provide prediction for the analysis of the energy demand growth tendency of the future EVs regulation. As a precedent of open-source simulation system, this paper provides a stand-alone strategy and architecture to regulate the EV charging behaviours without the unified monitoring or management of the grid.

284. The Sildenafil therapy in dismal prognosis early-onset intrauterine growth restriction randomized controlled trials (STRIDER RCTs): A consortium approach

Introduction The Global Obstetrics Network (GONet) initiative facilitates global collaboration in obstetrics research. The STRIDER Consortium is one such initiative -a consortium of four independently funded and powered trials (Australasia, UK, Netherlands, and Canada) that have a shared protocol (that includes a planned individual participant data meta-analysis) and harmonised data definitions and platform. Objective To establish a centralised clinical trial and database management infrastructure for the STRIDER consortium. Methods The STRIDER Coordinating Centre, University of British Columbia, created an electronic case report form (eCRF) database on REDCap for a central repository with role-based access control, and partnered with the BC HIV Trials Network to provide a participant randomisation system. The Coordinating Centre further developed an in–house program (iSTAR), allowing for customizations in participant randomisation, drug management, and improvements in eCRF integration. The randomisation algorithm generated in R software guarantees balanced allocations across treatment groups. The drug management system monitors inventory at each site and provides alerts if inventory falls below pre-determined thresholds, thus creating a continuous flow of supply for participants. To ensure data quality and patient safety, the Coordinating Centre developed online unblinding process, querying programing with validation rules and implemented processes with trial coordinators, allowing timely monitoring of data and trial activities. Results The Coordinating Centre provided centralised clinical operation and database management support to more than 50 sites in five countries. The SCC successfully supported the completion of STRIDER UK and STRIDER NZAus, recruiting 135 and 122 participants respectively. Currently, Dutch STRIDER and STRIDER Canada have recruited 192/354 and 20/90 participants respectively. Discussion Conducting trials as a consortium helps streamline clinical research infrastructure and promotes unified data collection and safety monitoring processes, thereby improving trial quality. Running clinical trials as a consortium can benefit patients and funders, increases research collaboration, and is cost-effective.

Directions for improving the organization and implementation of border control in Ukraine in the context of providing national security

The article deals with some aspects of improving the organization and implementation of border control in Ukraine. The article highlights such important areas of improvement of border control in Ukraine in the context of providing national security as the formation of an integrated information and communication system and the creation of a unified Monitoring Centreof the State Border Guard Service of Ukraineand the State Fiscal Service of Ukraine, the combination of GIS technologies with the capabilities of intellectual video control, the use of material, technical, organizational and managerial base of the State Border Guard Service of Ukrainefor the formation of a Unified Canine Service of Ukraine.

Concept of a Cloud Service for Data Preparation and Computational Control on Custom HPC Systems in Application to Molecular Dynamics

At the present stage of computer technology development it is possible to study the properties and processes in complex systems at molecular and even atomic levels, for example, by means of molecular dynamics methods. The most interesting are problems related with the study of complex processes under real physical conditions. Solving such problems requires the use of high performance computing systems of various types, for example, GRID systems and HPC clusters. Considering the time consuming computational tasks, the need arises of software for automatic and unified monitoring of such computations. A complex computational task can be performed over different HPC systems. It requires output data synchronization between the storage chosen by a scientist and the HPC system used for computations. The design of the computational domain is also quite a problem. It requires complex software tools and algorithms for proper atomistic data generation on HPC systems. The paper describes the prototype of a cloud service, intended for design of atomistic systems of large volume for further detailed molecular dynamic calculations and computational management for this calculations, and presents the part of its concept aimed at initial data generation on the HPC systems.

RETRACTED ARTICLE: Discrete Noetherian ring variational pattern feature sets for space-air-ground network protocol monitoring

Communication protocol is the rule and process of information exchange between every communication entities. It is the technical support of seamless interconnection between heterogeneous networks from SAGN (space-air-ground network). SDN (software-defined network) is a significant attempt framework on SAGN to manage all the entities. However, there are the following problems of protocol monitoring based on SDN. To define a unified monitoring framework on a heterogeneous network is difficult. What’s more, demanded monitoring features are much less than the real traffic in the network. The captured features are always redundancy in the case of protocol monitoring. Therefore, this paper proposes a new method of discrete Noetherian ring variational pattern features set for SAGN protocol monitoring. We build the real time traffic model of SAGN based on discrete Noetherian ring multi-dimensional vector. Employing the traffic between heterogeneous network elements to describe the non-linear features by reasoning the origin traffic. To make the discrete features into finite feature of the Noetherian ring, furtherly operate Legendre equation to design reversible multidimensional feature matrix. Those enhance the aggregation of protocol features. Continuous feature set and content monitoring of real-time monitoring traffic are designed. Associating spatial information features is enhances the adaptive ability of traffic feature set. The simulations and tests demonstrates that the new method has improve the accuracy of protocol test by 28% and response time by 3.53 s.

Unified Monitoring Architecture for IT and Grid Services

This paper provides a detailed overview of the Unified Monitoring Architecture (UMA) that aims at merging the monitoring of the CERN IT data centres and the WLCG monitoring using common and widely-adopted open source technologies such as Flume, Elasticsearch, Hadoop, Spark, Kibana, Grafana and Zeppelin. It provides insights and details on the lessons learned, explaining the work performed in order to monitor the CERN IT data centres and the WLCG computing activities such as the job processing, data access and transfers, and the status of sites and services.

Comparative analyses of sustainable campuses as living laboratories for managing environmental quality

PurposeDespite an emerging trend in the higher education sector toward sustainable campuses, comparative analyses that span multiple themes across multiple campuses are still limited. The purpose of this paper is to reduce such a gap by comparing universities that are members of the International Sustainable Campus Network across themes that are related to environmental quality.Design/methodology/approachIn total, 34 universities are included in the sample. Indicators are systematically reviewed and clustered into ten themes. Common indicators (CIs) are identified in seven themes for at least seven and at most 20 campuses. At the absence of CIs, the given theme is assessed based on the measures applied. The results indicate the average levels of performance in the sample and/or the scope of the measures that are undertaken.FindingsAccording to related values, an average campus spent 233,402 MWh of energy in buildings, 838,317 m3 of water on campus, generated 4,442 tonnes of waste, and emitted 75,354 tonnes of CO2 emissions. The average recycling rate was 50 percent, the average single occupancy vehicle rate in campus commuting was 34 percent, and on average, there were 152 sustainability-oriented courses. Best practices from the measures included energy audits for data centers, retrofit of water intense laboratories, and on-site renewable energy projects.Originality/valueIn addition, a unified monitoring framework is proposed to improve subsequent comparative analyses of campuses. Universities must focus on the use of the campus as a living laboratory to guide society toward a more sustainable future.

Conceptual Architecture and Service-Oriented Implementation of a Regional Geoportal for Rice Monitoring

Agricultural monitoring has greatly benefited from the increased availability of a wide variety of remote-sensed satellite imagery, ground-sensed data (e.g., weather station networks) and crop models, delivering a wealth of actionable information to stakeholders to better streamline and improve agricultural practices. Nevertheless, as the degree of sophistication of agriculture monitoring systems increases, significant challenges arise due to the handling and integration of multi-scale data sources to present information to decision-makers in a way which is useful, understandable and user friendly. To address these issues, in this article we present the conceptual architecture and service-oriented implementation of a regional geoportal, specifically focused on rice crop monitoring in order to perform unified monitoring with a supporting system at regional scale. It is capable of storing, processing, managing, serving and visualizing monitoring and generated data products with different granularity and originating from different data sources. Specifically, we focus on data sources and data flow, and their importance for and in relation to different stakeholders. In the context of an EU-funded research project, we present an implementation of the regional geoportal for rice monitoring, which is currently in use in Europe’s three largest rice-producing countries, Italy, Greece and Spain.

EXTERNAL QUALITY ASSESSMENT OF GENERAL EDUCATION AS A FACTOR OF TEACHERS’ PROFESSIONAL DEVELOPMENT

Introduction . Nowadays, foreign and Russian researchers state the lack of reliable tools for diagnostics of professional gaps among teachers. It is unjustified to draw conclusions about skill level of teachers, relying only on results which are shown by pupils when holding unified state examinations and monitoring tests. However, information on results of an external assessment of quality of the general education (the USE, OGE, All-Russian test works and national researches of quality of education) corresponds to professional development of teachers and more rational organization of this process. The aim of the article is to consider and discuss the relationship between professional development of teachers and external assessment of the quality of general education; the search of opportunities and terms of the results use of external evaluation procedures in teacher training. Methodology and research methods . The authors analyzed the publications (available on the Internet and in periodicals) to determine the relevance of the problem and compare approaches to its solution by Russian and foreign researchers. The methods involve content analysis, problem-based and comparative analysis for the diagnosis of the current practices of teachers’ professional development. The purpose of the analysis is the inclusion of education quality assessment and evaluation results in the contents of programs of professional development of teachers. Results . The created request for the profitability analysis results of an external assessment of general education quality of professional development of pedagogical staff is observed. However, the analysis of modern practice of additional professional pedagogical education showed that the preparation to prevails; certification procedure results for improvement of pedagogical activity are rarely used. The main reasons for this situation are found out: lack of the target information products for system of professional development prepared by results of certification and monitoring procedures; lack of unified methodological and methodical approaches to development of programs of professional development of teachers; insufficient development of expert and analytical activity at regional institutes of professional development. Change of the situation is possible based on the following complex measures: development of practice of direct diagnostics of teachers’ competences; adoptions of administrative decisions following the results of estimated procedures; interactions of institutes of professional development, higher education institutions, schools, methodical services and governing bodies of education for creation of flexible and mobile organizational and methodical resources for professional development; combinations of formal and informal teachers’ education experience. Scientific novelty . The practicability of results implementation for external education quality evaluation organization promoting professional growth of teachers is proved. The generalized characteristic of current practice in professional development of teachers based on an assessment of the quality of education is given. Practical significance . Organizational and pedagogical conditions for the improvement of the system of educators’ professional development are proposed.

Using Doppler ultrasound of the uterine and umbilical arteries and disordered angiogenesis markers (sFlt-1/PlGF) in unified monitoring of ischemic placental syndrome patients

ABSTRACTObjective: The shared pathogenesis of placental ischemia entitles us to create a single treatment model. We attempted to develop a unified method for monitoring ischemic placental syndrome patients using Doppler ultrasound of the uterine and umbilical arteries and disordered angiogenesis markers sFlt-1 and PlGF. Material and methods: 182 pregnant women suffering from the ischemic placental syndrome were divided into four groups depending on the severity of their lesions revealed in the Doppler ultrasound examination and weeks of pregnancy. We analyzed the behavior of clinical and biochemical parameters in these groups and the correlations between the ultrasound examination and the disordered angiogenesis markers. Results: In the group of patients demonstrating more severe Doppler ultrasound lesions, the clinical and biochemical parameters were significantly more expressed, whereas unfavorable obstetric events occurred either earlier or more frequently. Lesions revealed in Doppler occur more commonly in groups before 34th week of pregnancy. Disordered angiogenesis markers are significantly correlated with ultrasound examination results. Conclusions: A unified method for monitoring the ischemic placental syndrome based on pathogenetic, biophysical (Doppler ultrasound), and biochemical (sFlt-1/PlGF) parameters is feasible and constitutes a valuable supplement to the existing standards, while the high correlations between Doppler ultrasound examinations and both sFlt-1 and PlGF point to a shared pathogenesis of the lesions. Intensity of Doppler changes is connected with time of testing and pregnancy duration.

Thematic monitoring network of soil fauna diversity in China: exploring the mystery of soils

The important roles of soil fauna diversity and associated indicative functions of environment changes have received increasing attention from both academic circles and government decision makers. This paper summarizes the current situation of soil fauna monitoring in developed countries and related work in China. We introduce the objectives and structure of the thematic monitoring network of soil fauna diversity (TMNSFD), and highlighted some aspects that need attention. The TMNSFD proposed to establish permanent monitoring plots within forest plots established by Chinese Forest Biodiversity Monitoring Network for moni- toring soil fauna including earthworms, mites, springtails, nematodes and protists. During the years 2016-2020, TMNSFD may choose typical forest ecosystems as priority ecosystems for soil fauna monitoring, which cover temperate forest ecosystems (including broadleaved Korean pine mixed forests in Changbaishan, Jilin Province and warm temperate deciduous broadleaved forests in Donglingshan, Beijing), subtropical forest ecosystems (including typical subtropical evergreen broadleaved forests in Gutianshan, Zhejiang Province, lower subtropi- cal evergreen broadleaved forests in Dinghushan, Guangdong Province, and north subtropical evergreen broad-leaved forests in Dujiangyan, Sichuan Province), tropical forest ecosystems (tropical rainforests in Xishuangbanna, Yunnan Province and Jianfengling, Hainan Province), as well as mountainous dark conifer- ous forests in Liziping, Sichuan Province. By 2030, TMNSFD soil fauna monitoring plots may cover various ecosystems including forests, grasslands, wetlands, deserts, farmland, urban areas and other typical ecosys- tems in different regions of China. TMNSFD emphasizes the value of applied molecular biology technology, unified monitoring methods, and manipulation experiments to simulate the effects of global change on soil fauna during the processes of monitoring. We propose monitoring soil fauna diversity once every 5 years in established monitoring plots. The objective of TMNSFD is to provide reliable and integrated data of soil fauna diversity via the establishment of standard monitoring methods and a data-sharing network at the na- tional level, which could support the development of ecological civilization in China. •生物多样性监测网络专题•

Factors Associated with Unfavorable Treatment Outcomes in New and Previously Treated TB Patients in Uzbekistan: A Five Year Countrywide Study.

BackgroundTB is one of the main health priorities in Uzbekistan and relatively high rates of unfavorable treatment outcomes have recently been reported. This requires closer analysis to explain the reasons and recommend interventions to improve the situation. Thus, by using countrywide data this study sought to determine trends in unfavorable outcomes (lost-to-follow-ups, deaths and treatment failures) and describe their associations with socio-demographic and clinical factors.MethodA countrywide retrospective cohort study of all new and previously treated TB patients registered in the National Tuberculosis programme between January 2006 and December 2010.ResultsAmong 107,380 registered patients, 67% were adults, with smaller proportions of children (10%), adolescents (4%) and elderly patients (19%). Sixty per cent were male, 66% lived in rural areas, 1% were HIV-infected and 1% had a history of imprisonment. Pulmonary TB (PTB) was present in 77%, of which 43% were smear-positive and 53% were smear-negative. Overall, 83% of patients were successfully treated, 6% died, 6% were lost-to-follow-up, 3% failed treatment and 2% transferred out. Factors associated with death included being above 55 years of age, HIV-positive, sputum smear positive, previously treated, jobless and living in certain provinces. Factors associated with lost-to-follow-up were being male, previously treated, jobless, living in an urban area, and living in certain provinces. Having smear-positive PTB, being an adolescent, being urban population, being HIV-negative, previously treated, jobless and residing in particular provinces were associated with treatment failure.ConclusionOverall, 83% treatment success rate was achieved. However, our study findings highlight the need to improve TB services for certain vulnerable groups and in specific areas of the country. They also emphasize the need to develop unified monitoring and evaluation tools for drug-susceptible and drug-resistant TB, and call for better TB surveillance and coordination between provinces and neighbouring countries.