1st International Conference on Semantics, Knowledge and Grid

Slides:



Advertisements
Similar presentations
19/02/2006 The NESSI European Technology Platform 2nd Workshop – Shanghai Feb 2006 Stefano De Panfilis R&D Laboratories Engineering Ingegneria.
Advertisements

Jorge Gasós Grid Technologies Unit European Commission The EU e Infrastructures Programme Workshop, Beijing, June 2005.
Research Councils ICT Conference Welcome Malcolm Atkinson Director 17 th May 2004.
E-Science Update Steve Gough, ITS 19 Feb e-Science large scale science increasingly carried out through distributed global collaborations enabled.
DELOS Highlights COSTANTINO THANOS ITALIAN NATIONAL RESEARCH COUNCIL.
Vision and Ambition for LifeWatch ICT Infrastructure Axel Poigné (Fraunhofer IAIS) Vera Hernández-Ernst (Fraunhofer IAIS) Alex Hardisty (Cardiff University)
Planning for Flexible Integration via Service-Oriented Architecture (SOA) APSR Forum – The Well-Integrated Repository Sydney, Australia February 2006 Sandy.
Open Workshop on e-Infrastructures, Helsinki October 4 – 5, 2006 Roadmap Parallel Session on last chapter of e-IRG Roadmap: Crossing the Boundaries of.
Introduction and Overview “the grid” – a proposed distributed computing infrastructure for advanced science and engineering. Purpose: grid concept is motivated.
Globus Ian Foster and Carl Kesselman Argonne National Laboratory and University of Southern California
Intelligent Web Applications (Part 1) Course Introduction Vagan Terziyan AI Department, Kharkov National University of Radioelectronics / MIT Department,
Emerging Research Dimensions in IT Security Dr. Salar H. Naqvi Senior Member IEEE Research Fellow, CoreGRID Network of Excellence European.
Computer communication B Introduction to the Semantic Web.
Knowledge Environments for Science: Representative Projects Ian Foster Argonne National Laboratory University of Chicago
Software engineering on semantic web and cloud computing platform Xiaolong Cui Computer Science.
Global Service Delivery Infrastructure Ghent - December 16, 2010.
Prof. A. Taleb-Bendiab, Talk: Research Clustering Workshop: “eGovernment Interoperability”, Brussels, Date: 01/03/04, Pages:
Computer Science Perspective Ludek Matyska Faculty of Informatics, Masaryk University, Brno and also CESNET, Prague.
1 Autonomic Computing An Introduction Guenter Kickinger.
Massimiliano Assante – Leonardo Candela – Donatella Castelli – Pasquale Pagano Fourteenth International Conference on Grey Literature An Environment Supporting.
Alex Galis University College London
Data Infrastructures Opportunities for the European Scientific Information Space Carlos Morais Pires European Commission Paris, 5 March 2012 "The views.
1 UK NeSC Meeting, November 18 th, 2004 Terry Sloan EPCC, The University of Edinburgh INWA : using OGSA-DAI in a commercial environment.
Climate Sciences: Use Case and Vision Summary Philip Kershaw CEDA, RAL Space, STFC.
CONTENTS Arrival Characters Definition Merits Chararterstics Workflows Wfms Workflow engine Workflows levels & categories.
Privacy issues in integrating R environment in scientific workflows Dr. Zhiming Zhao University of Amsterdam Virtual Laboratory for e-Science Privacy issues.
SelfCon Foil no 1 Design of Self-Adaptive Systems Course introduction 2013 Rolv Bræk, ITEM.
The roots of innovation Future and Emerging Technologies (FET) Future and Emerging Technologies (FET) The roots of innovation Proactive initiative on:
1 4/23/2007 Introduction to Grid computing Sunil Avutu Graduate Student Dept.of Computer Science.
Next Generation Grid(s) - European Grid Research R. Tirler – IST DG Dutch Grid Day Amsterdam - 3 rd July Next Generation Grid(s) European.
Scenarios for a Learning GRID Online Educa Nov 30 – Dec 2, 2005, Berlin, Germany Nicola Capuano, Agathe Merceron, PierLuigi Ritrovato
Grid Computing & Semantic Web. Grid Computing Proposed with the idea of electric power grid; Aims at integrating large-scale (global scale) computing.
NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.
GRID ARCHITECTURE Chintan O.Patel. CS 551 Fall 2002 Workshop 1 Software Architectures 2 What is Grid ? "...a flexible, secure, coordinated resource- sharing.
Master Course /11/ Some additional words about pervasive/ubiquitous computing Lionel Brunie National Institute of Applied Science (INSA)
Semantic Annotation of Services and Processes in Business Alliances Karol Furdík 1,2 1 InterSoft, a.s., Floriánska 19, Košice, Slovakia
ICCS WSES BOF Discussion. Possible Topics Scientific workflows and Grid infrastructure Utilization of computing resources in scientific workflows; Virtual.
Semantic Web: The Future Starts Today “Industrial Ontologies” Group InBCT Project, Agora Center, University of Jyväskylä, 29 April 2003.
GRID Overview Internet2 Member Meeting Spring 2003 Sandra Redman Information Technology and Systems Center and Information Technology Research Center National.
The Collaborative Semantic Grid David De Roure University of Southampton, UK
An Overview of Scientific Workflows: Domains & Applications Laboratoire Lorrain de Recherche en Informatique et ses Applications Presented by Khaled Gaaloul.
GRID ANATOMY Advanced Computing Concepts – Dr. Emmanuel Pilli.
David De Roure Workflows in Support of Large-Scale Science Provenance, a.
RC ICT Conference 17 May 2004 Research Councils ICT Conference The UK e-Science Programme David Wallace, Chair, e-Science Steering Committee.
Towards ‘Ubiquitous’ Ubiquitous Computing: an alliance with ‘the Grid’ Oliver Storz, Adrian Friday, and Nigel Davies Computing Department, Lancaster University,
1 Ji Wang and Dongsheng Li National Lab for Parallel and Distributed Processing Introduction of iVCE ( Internet-based V irtual C omputing E nvironment.
ACGT Architecture and Grid Infrastructure Juliusz Pukacki ‏ EGEE Conference Budapest, 4 October 2007.
CSE 5810 Biomedical Informatics and Cloud Computing Zhitong Fei Computer Science & Engineering Department The University of Connecticut CSE5810: Introduction.
Issues in Cloud Computing. Agenda Issues in Inter-cloud, environments  QoS, Monitoirng Load balancing  Dynamic configuration  Resource optimization.
WP1:Definition & Production of the GRDI2020 Roadmap Roadmap Report To address the Technological, Organizational and Policy problems which hinder the building.
Chapter 1 Characterization of Distributed Systems
Accessing the VI-SEEM infrastructure
Grid Enabled Optimisation and Design Search for Engineering (GEODISE) Prof Simon Cox Southampton University
Regional Operations Centres Core infrastructure Centres
Clouds , Grids and Clusters
ENSURE: Enabling kNowledge Sustainability, Usability and Recovery for Economic value Architect and build the next generation preservation system, ensuring.
Security Requirements for ChinaGrid Applications - What the current grid security solutions cannot do Hai Jin Huazhong University of Science and Technology.
Globus —— Toolkits for Grid Computing
EGEE support for HEP and other applications
A Network Virtual Machine for Real-Time Coordination Services
Sponsored by the University of Southampton
University of Technology
GRID COMPUTING PRESENTED BY : Richa Chaudhary.
The Globus Toolkit™: Information Services
Pervasive Computing Happening?
Cloud Computing: Concepts
Is Data Infrastructure Revolutionary Infrastructure?
1st International Conference on Semantics, Knowledge and Grid
NextGRID: From Compute Grids to Grid SOAs and beyond
COMPONENT – BASED SOFTWARE ENGINEERING MODULE 2 – SECOND SEMESTER MKHIZE, BSC HONS COMPUTER SCIENCES, DIP IT, ICDL.
Presentation transcript:

1st International Conference on Semantics, Knowledge and Grid SKG2005 1st International Conference on Semantics, Knowledge and Grid

Introduction David De Roure

Visions e-Science Grid e-Science is about global collaboration in key areas of science and the next generation of infrastructure that will enable it Grid “…flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resources - what we refer to as virtual organizations” November 2005 SKG2005

Requirements These visions require an infrastructure for flexible, coordinated resource sharing They are about joining resources up, automatically, in order to do things that weren’t possible before We wish to reuse Data, Services, Knowledge, Software Anticipated use and Unanticipated use November 2005 SKG2005

Two infrastructure enablers An automatically processable, machine understandable web Distributed knowledge and information management Information integration On demand transparently constructed multi-organisational federations of distributed services Distributed computing middleware Computational Integration Goble November 2005 SKG2005

WWW2002 November 2005 SKG2005

Scale of Interoperability Semantic Grid SKG2005 Semantics & Knowledge Scale of Interoperability Classical Web Classical Grid Scale of data and computation November 2005 SKG2005 Based on an idea by Norman Paton

Semantics in and on the Grid Computing The Semantic Web The Semantic Grid Web Services November 2005 SKG2005

Motivation Future visions of computing involve Virtualisation Raising the level of abstraction over scale and heterogeneity of resources This requires automation Self-managing, Self-configuring, Self-healing This requires machine processable descriptions and content This requires semantics and knowledge This requires SKG2005 ! November 2005 SKG2005