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Large-scale distributed workflow systems for science are nowadays expected to operate in a consistent, predictable way as well as to promote collaboration between researchers or within groups in a unified way. In this talk we will discuss the VERCE Information Registry, which is designed to provide a consistent view of the VERCE ecosystem for seismology along with related architectural requirements, assumptions and interactions with other components.
Date and time:
Thursday, 20 June, 2013 - 11:40
Location:
Open Science Data Cloud Workshop 2013, Edinburgh, UK
Typical of the digital revolution, seismology is changing rapidly: the number of deployed seismometers grows rapidly, their performance and connectivity improve and seismologists employ data from other sources, such as LIDAR, satellite images and GPS. But their computational behavior is also changing: they used to just focus on earthquakes, today the use all of the continuous waveform. Just what does this mean for the science and the computational infrastructure to support it? The VERCE project is pioneering this approach and will provide examples during the talk.
Date and time:
Wednesday, 19 June, 2013 - 11:00
Location:
Open Science Data Cloud Workshop 2013, Edinburgh, UK
One of the main objectives of the VERCE project (Virtual Earthquake and Seismology Research Community in Europe) is to provide scientists with a unified, Europe-wide, computing environment able to support data-intensive scientific computation. This talk will be mainly about our approach to designing and building this infrastructure. More specifically, I will present the current computing environment, the rationale for designing our solutions around the workflow paradigm as well as the basic components of the architecture and their interactions.
Date and time:
Monday, 10 June, 2013 - 14:00
Location:
CISA Seminar, School of Informatics, University of Edinburgh, UK
An overview of the achievements of the architecture and tools work package in VERCE over the last 12 months:
* the mapping of the major CPU-intensive and data-intensive use cases to he one framework,
* the provision of an integrating framework supporting both discussion and implementation,
* the support of two demonstrators: from CPU & data-intensive use cases.
The plans for the next 12 months:
* scale up and reliability
* completion of the registry and other components needed for a quality beta test of the VERCE platform
Date and time:
Thursday, 25 April, 2013 - 11:00
Location:
Institut de Physique du Globe de Paris, Paris, France
Unlike earthquakes, most volcanic eruptions are preceded by clear episodes of unrest. These precursory signals are the main basis for forecasting eruptive activity, yet the quality of such forecasts are unknown. I will describe physical and empirical models for eruption forecasting and our efforts to quantify their performance. This work includes a project to test models in real-time, using data from multiple experimental facilities and volcano observatories.