Description
Springer Workflows For E-Science Scientific Workflows For Grids by Ian J. Taylor
This is a timely book presenting an overview of the current state-of-the-art within established projects, presenting many different aspects of workflow from users to tool builders. It provides an overview of active research, from a number of different perspectives. It includes theoretical aspects of workflow and deals with workflow for e-Science as opposed to e-Commerce. The topics covered will be of interest to a wide range of practitioners._x000D_ _x000D_
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 into the Future of Workflows: The Challenges Ahead._x000D_