Abstract

Scientific workflows-models of computation that capture the orchestration of scientific codes to conduct in silico research-are gaining recognition as an attractive alternative to script-based orchestration. Even so, researchers developing scientific workflow technologies still face fundamental challenges, including developing the underlying science of scientific workflows. You can classify scientific-workflow environments according to three major phases of in silico research: discovery, production, and distribution. On the basis of this classification, scientists can make more-informed decisions regarding the adoption of particular workflow environments.

Date

June 24, 2008

Authors

David Woollard, Nenad Medvidovic, Yolanda Gil, Chris A Mattmann

Journal

IEEE software

Volume

25

Issue

4

Pages

37-43

Publisher

IEEE