Workflows for e-Science: Scientific Workflows for GridsIan J. Taylor, Ewa Deelman, Dennis B. Gannon, Matthew Shields Springer Science & Business Media, 2007 M12 31 - 526 páginas This collection of articles on ‘Work?ows for e-Science’ is very timely and - portant. Increasingly, to attack the next generation of scienti?c problems, multidisciplinary and distributed teams of scientists need to collaborate to make progress on these new ‘Grand Challenges’. Scientists now need to access and exploit computational resources and databases that are geographically distributed through theuseof high speed networks. ‘Virtual Organizations’ or ‘VOs’ must be established that span multiple administrative domains and/or institutions and which can provide appropriate authentication and author- ation services and access controls to collaborating members. Some of these VOsmayonlyhavea?eetingexistencebutthelifetimeofothersmayrun into many years. The Grid community is attempting to develop both sta- ards and middleware to enable both scientists and industry to build such VOs routinely and robustly. This, of course, has been the goal of research in distributed computing for many years; but now these technologies come with a new twist service orie- ation. By specifying resources in terms of a service description, rather than allowing direct access to the resources, the IT industry believes that such an approach results in the construction of more robust distributed systems. The industry has therefore united around web services as the standard technology toimplementsuchserviceorientedarchitecturesandtoensureinteroperability between di?erent vendor systems. |
Contenido
1 | |
18 | |
39 | |
Workflows in Pulsar Astronomy | 60 |
Workflow and Biodiversity eScience | 80 |
Ecological Niche Modeling Using the Kepler | 91 |
Case Studies on the Use of Workflow Technologies | 109 |
Dynamic Adaptive Workflows | 126 |
Semantic Representations | 244 |
A Typed | 258 |
WorkflowLevel Parametric Study Support by MOTEUR | 277 |
Aligning a Workflow System with | 300 |
Java CoG Kit Workflow | 340 |
Workflow Management in Condor | 357 |
Mapping LargeScale Workflows to Distributed | 376 |
ICENI | 395 |
SCEC CyberShake WorkflowsAutomating Probabilistic | 143 |
Control Versus DataDriven Workflows | 165 |
Petri Nets | 190 |
Adapting BPEL to Scientific Workflows | 208 |
ProtocolBased Integration Using SSDL and πCalculus | 227 |
Expressing Workflow in the Cactus Framework | 416 |
A Development and Grid Computing | 450 |
The Challenges Ahead | 473 |
Index | 514 |
Otras ediciones - Ver todas
Workflows for E-Science: Scientific Workflows for Grids Ian J. Taylor Sin vista previa disponible - 2007 |
Workflows for e-Science: Scientific Workflows for Grids Ian J. Taylor,Ewa Deelman,Dennis B. Gannon,Matthew Shields Sin vista previa disponible - 2014 |
Términos y frases comunes
abstract activity additional algorithm allows analysis application approach architecture BPEL called Chapter cluster complex components composition computing connected consists constructs contains create DAGMan data sets defined definition dependencies described designed developed distributed dynamic elements enable engine environment example execution existing experiments Figure flow framework functionality given graphical Grid implementation important input instance integration interaction interface invoke language LEAD mapping multiple nodes operations output parallel parameters particular Pegasus performance physical portal ports possible prediction present processors produce protocol represent representation scheduling Science scientific workflows scientists script selection shows simple simulation single specific stage standard step structure submit tasks technologies transfer transform Triana University visual
Pasajes populares
Página 175 - A software component is a unit of composition with contractually specified interfaces and explicit context dependencies only. A software component can be deployed independently and is subject to composition by third parties.
Página 81 - Biological diversity" means the variability among living organisms from all sources including, inter alia, terrestrial, marine and other aquatic ecosystems and the ecological complexes of which they are part: this includes diversity within species, between species and of ecosystems.
Página 356 - Division subprogram of the Office of Advanced Scientific Computing Research, Office of Science, US Department of Energy, under Contract W-31-109-Eng-38.
Página 275 - This work was supported in part by the Mathematical, Information, and Computational Sciences Division subprogram of the Office of Advanced Scientific Computing Research, US Department of Energy, under Contract W-31109-Eng-38...
Página 511 - V. Welch, F. Siebenlist, I. Foster, J. Bresnahan, K. Czajkowski, J. Gawor, C. Kesselman, S. Meder, L. Pearlman, and S. Tuecke. Security for Grid services.
Página xiv - Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK L . BraineCcs . ucl .ac.uk C . ClackCcs . ucl .ac.uk Abstract.
Página 9 - the automation of a business process, in whole or part, during which documents, information or tasks are passed from one participant to another for action, according to a set of procedural rules.
Página 486 - A Survey of Basic Net Models and Modular Net Classes"; in "Advances in Petri Nets 1992"; Lecture Notes in Computer Science; G.
Página 487 - D. Booth, H. Haas, F. McCabe, E. Newcomer, M. Champion, C. Ferris and D. Orchard, Web services architecture, W3C Working Draft, August 2003.
Página xxi - Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL 60439, USA...
Referencias a este libro
Grid Economics and Business Models: 4th International Workshop, GECON 2007 ... Daniel J. Veit Vista previa limitada - 2007 |