Scientific workflows for grids
Ian J. Taylor (Author)
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.
Print Book, English, 2007
Springer, New York, 2007
XXII, 530 Seiten
9781846285196, 1846285194
180049053
Scientific versus Business Workflows.- Scientific versus Business Workflows.- Application and User Perspective.- Generating Complex Astronomy Workflows.- A Case Study on the Use of Workflow Technologies for Scientific Analysis: Gravitational Wave Data Analysis.- Workflows in Pulsar Astronomy.- Workflow and Biodiversity e-Science.- Ecological Niche Modeling Using the Kepler Workflow System.- Case Studies on the Use of Workflow Technologies for Scientific Analysis: The Biomedical Informatics Research Network and the Telescience Project.- Dynamic, Adaptive Workflows for Mesoscale Meteorology.- SCEC CyberShake Workflows—Automating Probabilistic Seismic Hazard Analysis Calculations.- Workflow Representation and Common Structure.- Control- Versus Data-Driven Workflows.- Component Architectures and Services: From Application Construction to Scientific Workflows.- Petri Nets.- Adapting BPEL to Scientific Workflows.- Protocol-Based Integration Using SSDL and ?-Calculus.- Workflow Composition: Semantic Representations for Flexible Automation.- Virtual Data Language: A Typed Workflow Notation for Diversely Structured Scientific Data.- Frameworks and Tools: Workflow Generation, Refinement, and Execution.- Workflow-Level Parametric Study Support by MOTEUR and the P-GRADE Portal.- Taverna/myGrid: Aligning a Workflow System with the Life Sciences Community.- The Triana Workflow Environment: Architecture and Applications.- Java CoG Kit Workflow.- Workflow Management in Condor.- Pegasus: Mapping Large-Scale Workflows to Distributed Resources.- ICENI.- Expressing Workflow in the Cactus Framework.- Sedna: A BPEL-Based Environment for Visual Scientific Workflow Modeling.- ASKALON: A Development and Grid Computing Environment for Scientific Workflows.- Future Requirements.- Looking intothe Future of Workflows: The Challenges Ahead.