TY  - CONF
T1  - FAST: Flexible Automated Syncrhonization Transfer tool
T2  - Proceedings of the Sixth International Workshop on Data-Intensive Distributed Computing Date
Y1  - 2014
A1  - Rosa Filgueira
A1  - Iraklis Klampanos
A1  - Yusuke Tanimura
A1  - Malcolm Atkinson.
JF  - Proceedings of the Sixth International Workshop on Data-Intensive Distributed Computing Date
PB  - ACM
CY  - New York, NY, USA
ER  - 

TY  - CHAP
T1  - Foreword
T2  - THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business
Y1  - 2013
A1  - Tony Hey
ED  - Malcolm Atkinson
ED  - Rob Baxter
ED  - Peter Brezany
ED  - Oscar Corcho
ED  - Michelle Galea
ED  - Parsons, Mark
ED  - Snelling, David
ED  - van Hemert, Jano
KW  - Big Data
KW  - Data-intensive Computing, Knowledge Discovery
JF  - THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business
PB  - John Wiley & Sons Ltd.
ER  - 

TY  - Generic
T1  - Federated Enactment of Workflow Patterns
T2  - Lecture Notes in Computer Science
Y1  - 2010
A1  - Yaikhom, Gagarine
A1  - Liew, Chee
A1  - Liangxiu Han
A1  - van Hemert, Jano
A1  - Malcolm Atkinson
A1  - Krause, Amy
ED  - D’Ambra, Pasqua
ED  - Guarracino, Mario
ED  - Talia, Domenico
AB  - In this paper we address two research questions concerning workflows: 1) how do we abstract and catalogue recurring workflow patterns?; and 2) how do we facilitate optimisation of the mapping from workflow patterns to actual resources at runtime? Our aim here is to explore techniques that are applicable to large-scale workflow compositions, where the resources could change dynamically during the lifetime of an application. We achieve this by introducing a registry-based mechanism where pattern abstractions are catalogued and stored. In conjunction with an enactment engine, which communicates with this registry, concrete computational implementations and resources are assigned to these patterns, conditional to the execution parameters. Using a data mining application from the life sciences, we demonstrate this new approach.
JF  - Lecture Notes in Computer Science
PB  - Springer Berlin / Heidelberg
VL  - 6271
UR  - http://dx.doi.org/10.1007/978-3-642-15277-1_31
N1  - 10.1007/978-3-642-15277-1_31
ER  - 

TY  - CONF
T1  - Fostering e-Infrastructures: from user-designer relations to community engagement
T2  - Symposium on Project Management in e-Science
Y1  - 2008
A1  - Voss, A.
A1  - Asgari-Targhi, M.
A1  - Halfpenny, P.
A1  - Procter, R.
A1  - Anderson, S.
A1  - Dunn, S.
A1  - Fragkouli, E.
A1  - Hughes, L.
A1  - Atkinson, M.
A1  - Fergusson, D.
A1  - Mineter, M.
A1  - Rodden, T.
AB  - In this paper we discuss how e-Science can draw on the findings, approaches and methods developed in other disciplines to foster e-Infrastructures for research. We also discuss the issue of making user involvement in IT development scale across an open ommunity of researchers and from single systems to distributed e-Infrastructures supporting collaborative research.
JF  - Symposium on Project Management in e-Science
CY  - Oxford
ER  - 

TY  - CONF
T1  - FireGrid: Integrated emergency response and fire safety engineering for the future built environment
T2  - All Hands Meeting 2005
Y1  - 2006
A1  - D. Berry
A1  - Usmani, A.
A1  - Torero, J.
A1  - Tate, A.
A1  - McLaughlin, S.
A1  - Potter, S.
A1  - Trew, A.
A1  - Baxter, R.
A1  - Bull, M.
A1  - Atkinson, M.
AB  - Analyses of disasters such as the Piper Alpha explosion (Sylvester-Evans and Drysdale, 1998), the World Trade Centre collapse (Torero et al, 2002, Usmani et al, 2003) and the fires at Kings Cross (Drysdale et al, 1992) and the Mont Blanc tunnel (Rapport Commun, 1999) have revealed many mistaken decisions, such as that which sent 300 fire-fighters to their deaths in the World Trade Centre. Many of these mistakes have been attributed to a lack of information about the conditions within the fire and the imminent consequences of the event.    E-Science offers an opportunity to significantly improve the intervention in fire emergencies. The FireGrid Consortium is working on a mixture of research projects to make this vision a reality. This paper describes the research challenges and our plans for solving them.
JF  - All Hands Meeting 2005
CY  - Nottingham, UK
ER  - 

TY  - CONF
T1  - A ``Futurist'' approach to dynamic environments
T2  - Proceedings of the Workshops at the Genetic and Evolutionary Computation Conference, Dynamic Optimization Problems
Y1  - 2001
A1  - van Hemert, J. I.
A1  - Van Hoyweghen, C.
A1  - Lukschandl, E.
A1  - Verbeeck, K.
ED  - J. Branke
ED  - Th. B{\"a}ck
KW  - dynamic problems
AB  - The optimization of dynamic environments has proved to be a difficult area for Evolutionary Algorithms. As standard haploid populations find it difficult to track a moving target, diffKerent schemes have been suggested to improve the situation. We study a novel approach by making use of a meta learner which tries to predict the next state of the environment, i.e. the next value of the goal the individuals have to achieve, by making use of the accumulated knowledge from past performance.
JF  - Proceedings of the Workshops at the Genetic and Evolutionary Computation Conference, Dynamic Optimization Problems
PB  - Morgan Kaufmann Publishers, San Francisco
ER  -