Mapping from heterogeneous biodiversity monitoring data sources

2012 ◽  
Vol 21 (11) ◽  
pp. 2927-2948 ◽  
Author(s):  
Francesc Sardà-Palomera ◽  
Lluís Brotons ◽  
Dani Villero ◽  
Henk Sierdsema ◽  
Stuart E. Newson ◽  
...  
2017 ◽  
Vol 213 ◽  
pp. 256-263 ◽  
Author(s):  
Vânia Proença ◽  
Laura Jane Martin ◽  
Henrique Miguel Pereira ◽  
Miguel Fernandez ◽  
Louise McRae ◽  
...  

2012 ◽  
Vol 241-244 ◽  
pp. 3085-3091
Author(s):  
Jian Gong ◽  
Cui Hong Lv ◽  
Lin Hai Qi ◽  
Su Xia Ma

The calculation subsystems of the power quality intelligent information system will face many types of monitoring data source, and when different data sources provide data for calculation subsystem, it does not need to change algorithm but need to change the way how to get the data needed; then how to make the calculation subsystem does not alter with the change of data provider becomes a necessary demand;Aiming at the problem this paper put forward a set of solutions, which are dependent on dependency-injection, to help the calculation subsystem in multiple data source supporting.


Author(s):  
M.I. Martyshov ◽  
D.A. Nikitenko

HPC systems are complex in architecture and contain millions of components. To ensure reliable operation and efficient output, functioning of most subsystems should be supervised. This is done on the basis of collected data from various logging and monitoring systems. This means that different data sources are used, and accordingly, data analysis can face multiple issues processing this data. Some of the data subsets can be incorrect due to the malfunctioning of used sensors, monitoring system data aggregation errors, etc. This is why it is crucial to preprocess such monitoring data before analyzing it, taking into the consideration the analysis goals. The aim of this paper is, being based on the MSU HPC Center monitoring data, to propose an approach to data preprocessing of HPC monitoring systems, giving some real life examples of issues that may be faced, and recommendations for further analysis of similar datasets. Высокопроизводительные вычислительные системы сложны по архитектуре и содержат миллионы компонент. Чтобы обеспечить надежную работу и эффективную отдачу, необходимо контролировать работу всех их подсистем. Это делается на основе данных, собранных различными системами журналирования и мониторинга. Это означает, что используются разные источники данных, и, соответственно, анализ данных может столкнуться с множеством проблем, связанных с обработкой этих данных. Некоторые из подмножеств данных могут быть неверными из-за неисправности используемых датчиков, ошибок агрегирования данных системы мониторинга и т.д. Вот почему крайне важно проводить предварительную обработку таких данных мониторинга перед их анализом, принимая во внимание цели анализа. Цель этой работы, описать подход к предварительной обработке данных суперкомпьютерных систем мониторинга на основе опыта работы СКЦ МГУ, привести некоторые реальные примеры проблем, с которыми можно при этом столкнуться, а также рекомендации по дальнейшему анализу подобных наборов данных.


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Jean-Baptiste Mihoub ◽  
Klaus Henle ◽  
Nicolas Titeux ◽  
Lluís Brotons ◽  
Neil A. Brummitt ◽  
...  

Abstract Temporal baselines are needed for biodiversity, in order for the change in biodiversity to be measured over time, the targets for biodiversity conservation to be defined and conservation progress to be evaluated. Limited biodiversity information is widely recognized as a major barrier for identifying temporal baselines, although a comprehensive quantitative assessment of this is lacking. Here, we report on the temporal baselines that could be drawn from biodiversity monitoring schemes in Europe and compare those with the rise of important anthropogenic pressures. Most biodiversity monitoring schemes were initiated late in the 20th century, well after anthropogenic pressures had already reached half of their current magnitude. Setting temporal baselines from biodiversity monitoring data would therefore underestimate the full range of impacts of major anthropogenic pressures. In addition, biases among taxa and organization levels provide a truncated picture of biodiversity over time. These limitations need to be explicitly acknowledged when designing management strategies and policies as they seriously constrain our ability to identify relevant conservation targets aimed at restoring or reversing biodiversity losses. We discuss the need for additional research efforts beyond standard biodiversity monitoring to reconstruct the impacts of major anthropogenic pressures and to identify meaningful temporal baselines for biodiversity.


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