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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.

NSF Open Science Data Cloud (OSDC) PIRE Project

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.

Acronym: 
OSDC PIRE
Value: 
US$1 million from NSF et al. none to UoE
Dates: 
Wed, 09/01/2010 to Mon, 08/31/2015

Congratulations: Dr Jano van Hemert appointed to the RSE Young Academy of Scotland

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.

Topic of this submission: 

VERCE

The VERCE VERCE logo project aims at studying and developing a working framework for running data- and computationally intensive applications in the seismology domain.

Acronym: 
VERCE
Funding body: 
EU/FP7
Value: 
€6M
Dates: 
Sat, 10/01/2011 to Wed, 09/30/2015

New Staff: Dr Michelle Galea

We welcome Michelle, who is going to work on the ADMIRE project. She is in office 5.22.

Topic of this submission: 
Projects: 

Hazard forecasting in real time: from controlled laboratory tests to volcanoes and earthquakes

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.

Acronym: 
RapidHazard
Value: 
£526969
Dates: 
Sat, 01/01/2011 to Tue, 12/31/2013
Project members: 
Projects: 

Data-Intensive Research

Speaker(s): 
Presentation Type: 
talk

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

RapidSeis: Enabling User-Defined Seismological Waveform Data Processing over the Grid

Speaker(s): 
Presentation Type: 
talk

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
Projects: 

Toward a service-oriented e-infrastructure for data mining and data-intensive modeling applications in seismology

Speaker(s): 
Presentation Type: 
talk

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.

Date and time: 
Wednesday, 5 May, 2010 - 09:30
Location: 
European Geosciences Union

GeoScience meets Informatics

NeSC Research Seminar Series
Speaker: 
Ian Main, Mark Naylor and Andrew Bell

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.

Date and time: 
Thursday, 1 April, 2010 - 11:00
Length: 
120 minutes
Location: 
IF116
Projects: 

Data-Intensive Research: realising the power of data

Speaker(s): 
Presentation Type: 
invited
Date and time: 
Sunday, 4 April, 2010 - 09:00
Location: 
Data Intensive eScience Workshop at the Database Systems for Advanced Applications, Tsukuba, Japan

Edinburgh Data-Intensive Research

Speaker(s): 
Presentation Type: 
invited

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

Edinburgh Data-Intensive Research

Presentation Type: 
demo

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

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