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Workflows and applications in e-Science Central. Simon Woodman Hugo Hiden Paul Watson Jacek Cala. Outline. What is e-Science Central? Architecture and Features Workflows and Applications. Background: North East Regional e-Science Centre. 25 Research Projects across many domains:
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Workflows and applications in e-Science Central Simon Woodman Hugo Hiden Paul Watson Jacek Cala
Outline • What is e-Science Central? • Architecture and Features • Workflows and Applications
Background: North East Regional e-Science Centre • 25 Research Projects across many domains: • Bioinformatics, Ageing & Health, Neuroscience, Chemical Engineering, Transport, Geomatics, Video Archives, Artistic Performance Analysis, Computer Performance Analysis,.... • Same key needs:
Recent Trends • Web based • Works anywhere e-Science Central • Dynamic Resource • Allocation • Pay-as-you-Go • Controlled Sharing • Collaboration • Communities
e-Science Central • ‘Active Repository’ • Integrated Store-Analyse-Automate-Share infrastructure • Bowkers “Standard Scientific Model” predicts data loss • Minimise and ideally remove • Generic • Cheminformatics as pilot
Outline • What is e-Science Central? • Architecture and Features • Workflows and Applications
Searching Storage Security Workflow Provenance Core Services
Discussion Blogs Storage Searching Connections Security Groups Workflow Tagging Provenance Collaboration Services Core Services
QSAR Blogs Storage Searching Discussion Modeling Connections Security Chemistry Groups Workflow Tagging Provenance R Scripts “Scientific” Services Collaboration Services Core Services
QSAR Application Blogs Storage Searching Discussion Modeling Connections Security Application Chemistry Groups Workflow Application Tagging Provenance R Scripts Collaboration Services Core Services Expansion… “Scientific” Services
Outline • What is e-Science Central? • Architecture and Features • Workflow and Applications
Worklfows in e-Science Central Data Supply Services Publication and Storage Services Calculation and Third Party Services amazon web services ™
Applications • Utilisee-Science Central Service • Present data in different ways • Microsoft Surface • Mobile Apps • Excel • REST API for data access, workflow management • Java and C# client libraries • Run outside e-Science Central • Served in iFrame • Standalone
Discovery Bus Application • Discovery Bus • Automated QSAR (Quantitative Structure Actitivity Relationship) • Multi-agent System • Oracle PL/SQL, R, Java • Difficult and error prone to add agents • e-Science Central • agents == workflow • agent creation == application
Discovery Bus Application Data Authentication Workflow Windows Azure Discovery Bus Agent Installation App API Discovery Bus: Automated QSAR
Other Applications • CARMEN Metadata editor • Excel plugin to save/load data in e-Science Central • Mobile application to transcribe notes • OpenQSAR • authenticate and generate model predictions
Future • More Blocks and languages • Esmeralda (sequential data modelling) • Discovery Bus Agents • Access external data (provenance problems?) • Real time data processing? • Support for more Workflow Engines • Trident, WWF, Taverna? • Collective Intelligence • Find similar people and documents • Algorithms must include security • Provenance • Query and display with security
Demo times • North East Regional e-Science Centre Booth • Today: 12.40 • Thursday: 12.40