Workflows for e-Science [electronic resource] : Scientific Workflows for Grids /
Taylor, Ian J.editor.
Deelman, Ewa.editor.
Gannon, Dennis B.editor.
Shields, Matthew.editor.
Scientific Workflow has seen massive growth in recent years as science becomes increasingly reliant on the analysis of massive data sets and the use of distributed resources. The workflow programming paradigm is seen as a means of managing the complexity in defining the analysis, executing the necessary computations on distributed resources, collecting information about the analysis results, and providing means to record and reproduce the scientific analysis. Workflows for e-Science presents an overview of the current state of the art in the field. It brings together research from many leading computer scientists in the workflow area and provides real world examples from domain scientists actively involved in e-Science. The computer science topics addressed in the book provide a broad overview of active research focusing on the areas of workflow representations and process models, component and service-based workflows, standardization efforts, workflow frameworks and tools, and problem solving environments and portals. The topics covered represent a broad range of scientific workflow and will be of interest to a wide range of computer science researchers, domain scientists interested in applying workflow technologies in their work, and engineers wanting to develop workflow systems and tools. As such Workflows for e-Science is an invaluable resource for potential or existing users of workflow technologies and a benchmark for developers and researchers.
Description based upon print version of record.
Includes bibliographical references (p. [483]-513) and index.
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.
Scientific Workflow has seen massive growth in recent years as science becomes increasingly reliant on the analysis of massive data sets and the use of distributed resources. The workflow programming paradigm is seen as a means of managing the complexity in defining the analysis, executing the necessary computations on distributed resources, collecting information about the analysis results, and providing means to record and reproduce the scientific analysis. Workflows for e-Science presents an overview of the current state of the art in the field. It brings together research from many leading computer scientists in the workflow area and provides real world examples from domain scientists actively involved in e-Science. The computer science topics addressed in the book provide a broad overview of active research focusing on the areas of workflow representations and process models, component and service-based workflows, standardization efforts, workflow frameworks and tools, and problem solving environments and portals. The topics covered represent a broad range of scientific workflow and will be of interest to a wide range of computer science researchers, domain scientists interested in applying workflow technologies in their work, and engineers wanting to develop workflow systems and tools. As such Workflows for e-Science is an invaluable resource for potential or existing users of workflow technologies and a benchmark for developers and researchers.
Computer organization.
Operating systems (Computers).
Computer communication systems.
Input-output equipment (Computers).
Special purpose computers.
Algorithms.
Computer Systems Organization and Communication Networks.
Operating Systems.
Computer Communication Networks.
Input/Output and Data Communications.
Special Purpose and Application-Based Systems.
Algorithm Analysis and Problem Complexity.