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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.
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
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
Diversity, in every dimension, is a key attribute of today’s data bonanza. Our research takes a holistic view, embracing this diversity and the consequent intricate interactions between users and systems. We created the Dispel data-streaming language to describe complex computation patterns at high levels of abstraction, while providing meta-information for optimisation. Provenance and contextual information must be harnessed to achieve autonomous execution, data placement, energy efficiency and reliability.
Grids and clouds are providing robust infrastructures for scientific applications. However, the wider take-up of these technologies have been limited for a long time due to the lack of user friendly interfaces that enable e-scientists to get transparent access to these platforms.
Science gateways are frameworks (or toolsets) which incorporate applications, data and tools to enable running applications on Distributed Computing Infrastructures (DCIs) in a user friendly and intuitive way.
The Centre National de la Recherche Scientifique – Institut National des Sciences de l’Univers (CNRS-INSU) is looking for a new R&D Scientific Software Research Engineer to assist in the VERCE project (http://www.verce.eu/). Details attached, as well as available from the VERCE website.
The Edinburgh Data-Intensive Machine (EDIM1) is a compute-cluster for data-intensive research and experimentation. The product of a joint collaboration between the School of Informatics and EPCC, funded jointly by EPSRC and the University of Edinburgh, EDIM1 is designed to be more ‘Amdahl- balanced’ than existing data-intensive machines insofar as it offers the greatest possible capacity for applications to benefit from the parallelisation of any components where potential for such exists.
Acronym:
EDIM1
Funding body:
College of Science and Engineering, University of Edinburgh
The 10-years of the e-Science programme and many earlier years of e-Science have shown the critical importance of digital communication in data-intensive research and in collaboration to bring sufficient expertise to bear on challenges. A review of the 10 years of the e-Science programme shows that the significant positive outcomes are often years after the initial work, even though that led to major breakthroughs and achievements.
We are delighted to welcome Donald MacDonald who is joining the Rapid-OMERO project developing its story from where Jos Koestier is leaving it.
He brings with him the experience of working in the OMERO team with Professor Jason Swedlow in Dundee, and earlier experience of data mining in Paisley.
