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Efficient distributed systems
Systems that are efficient in terms of performance, but also in terms of use of energy and costs of running.
The Open Science Data Cloud (OSDC) is an open-source, cloud-based infrastructure that allows scientists to manage, analyze, integrate and share medium to large size scientific datasets.
The OSDC PIRE project aims to narrow the growing gap between the capability of modern scientific instruments to produce data and the ability of researchers to control and examine the data in a reliable and timely manner.
The Royal Society of Edinburgh (RSE), Scotland’s National Academy, is delighted to announce that it has today chosen the first members of the new “RSE Young Academy of Scotland”. This exciting development is the first of its kind in the UK. It will be part of a growing movement of Young Academies across the world.
The VERCE project aims at studying and developing a working framework for running data- and computationally intensive applications in the seismology domain.
The inherent limits to the predictability of brittle failure events such as earthquakes and volcanic eruptions are important, unknown, and much debated. We will establish techniques to determine what this limit is in the ideal case of controlled laboratory tests, for the first time in real-time, prospective mode, meaning before failure has occurred.
Edinburgh Data-Intensive Research Data-intensive refers to huge volumes of data, complex patterns of data integration and analysis, and intricate interactions between data and users. Current methods and tools are failing to address data-intensive challenges effectively. They fail for several reasons, all of which are aspects of scalability.
Date and time:
Tuesday, 1 June, 2010 - 14:00
Location:
iDEA lab bio-medical data day, Informatics Forum, Edinburgh, UK
The objective of this JISC-funded pilot project was to remove perceived barriers to uptake of an application that performs analysis of seismic waveform data. The aim was to provide the seismological community with a simplified system that overcame important barriers such as installation and understanding of the analysis package, location and transfer of large amounts of input data and visualisation of results.
Date and time:
Tuesday, 4 May, 2010 - 10:30
Location:
European Geosciences Union, General Assembly 2010, Vienna, Austria
Global and regional seismology monitoring systems are continuously operated and are transmitting a growing wealth of seismological data in Europe and from around the world. This opens exciting opportunities for a large range of geophysical research. The multi-use nature of these data puts a great premium on open-access data archive infrastructures that are well integrated in the European Plate Observing System (EPOS)—an ESFRI initiative of the solid earth community.
The agenda of this meeting will be flexible, the aim is to provide the informaticians with an understanding of the specific challenges in monitoring, analysis and modelling of experimental and seismological data.
Data-intensive refers to huge volumes of data, complex patterns of data integration and analysis, and intricate interactions between data and users. Current methods and tools are failing to address data-intensive challenges effectively. They fail for several reasons, all of which are aspects of scalability.
Date and time:
Wednesday, 28 April, 2010 - 10:30
Location:
edikt2010 Symposium - Using computing in your research, e-Science Institute, 15 South College Street, Edinburgh
We present Edinburgh Data-Intensive Research, a research group in Edinburgh Informatics and part of the UK National e-Science Centre. The demonstration comprises several rounds of 15 minutes, where we briefly introduce the group (2-minutes), then attendees can pick people to talk to for the remaining time. All team members are there and have laptops to provide in-depth demonstrations of our methods and applications of them.
Date and time:
Monday, 15 March, 2010 - 14:00
Location:
Data-Intensive Research Workshop, e-Science Institute, UK
project aims at studying and developing a working framework for running data- and computationally intensive applications in the seismology domain.
The inherent limits to the predictability of brittle failure events such as earthquakes and volcanic eruptions are important, unknown, and much debated. We will establish techniques to determine what this limit is in the ideal case of controlled laboratory tests, for the first time in real-time, prospective mode, meaning before failure has occurred.
