Information Technology Reference
In-Depth Information
9.3.3.2 Automata for XML Streams and
Scientii c Workl ow ............................................... 239
9.3.3.3 Theoretic Lower Bounds for Scientii c
Workl ow Scheduling ........................................... 240
9.4 Scientii c Workl ow Runtime Scheduling
9.4.1.1 Static Optimization and Runtime
Optimization .......................................................... 246
9.1
e-Science is a buzz word when it comes to connecting different kinds of
sciences and communities with each other to share scientii c interests,
data, and research results. This connection is the trend of scientii c and
technological development that augurs a rapid increase in the number
of computations being employed by e-scientists. Consequently, scientii c
workl ow, a new special type of workl ow often underlying many large-scale
complex e-science applications such as climate modeling, structural biology
and chemistry, medical surgery, or disaster recovery simulation, deserves
intensive investigation. Compared with business workl ows, scientii c work-
l ow has special features such as computation, data or transaction intensity,
less human interaction, and a large number of activities. Some emerging
computing infrastructures such as grid computing, with powerful comput-
ing and resource sharing capabilities, present the potential for accommo-
dating those special features. Some work both theoretically and empirically
has been done toward this research frontier such as GredbusWorkl ow,
Kepler, Taverna, and SwinDeW-G series [1]. Each piece of work highlights
different aspects of scientii c workl ow with different emphasis.
However, the research of scientii c workl ow management is still at its
early stage in terms of issues to be solved and its development history.
Furthermore, due to the wide application of the scientii c workl ow, the
underlying environments vary from one to the other. All of the above
problems with the scientii c workl ow give a new platform for people from
the business process management community to investigate.
Introduction
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