With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute scientific experiments on distributed resources. Such application scenarios require means for composing and executing complex workflows. Therefore, many efforts have been made towards the development of workflow management systems for Grid computing. In this paper, we propose a taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids. The taxonomy not only highlights the design and engineering similarities and differences of state-of-the-art in Grid workflow systems, but also identifies the areas that need further research.
%0 Journal Article
%1 Yu:2005:TSW:1084805.1084814
%A Yu, Jia
%A Buyya, Rajkumar
%C New York, NY, USA
%D 2005
%I ACM
%J SIGMOD Rec.
%K Grid ScientificWorkflow
%N 3
%P 44--49
%R 10.1145/1084805.1084814
%T A Taxonomy of Scientific Workflow Systems for Grid Computing
%U http://doi.acm.org/10.1145/1084805.1084814
%V 34
%X With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute scientific experiments on distributed resources. Such application scenarios require means for composing and executing complex workflows. Therefore, many efforts have been made towards the development of workflow management systems for Grid computing. In this paper, we propose a taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids. The taxonomy not only highlights the design and engineering similarities and differences of state-of-the-art in Grid workflow systems, but also identifies the areas that need further research.
@article{Yu:2005:TSW:1084805.1084814,
abstract = {With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute scientific experiments on distributed resources. Such application scenarios require means for composing and executing complex workflows. Therefore, many efforts have been made towards the development of workflow management systems for Grid computing. In this paper, we propose a taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids. The taxonomy not only highlights the design and engineering similarities and differences of state-of-the-art in Grid workflow systems, but also identifies the areas that need further research.},
acmid = {1084814},
added-at = {2017-12-10T00:26:45.000+0100},
address = {New York, NY, USA},
author = {Yu, Jia and Buyya, Rajkumar},
biburl = {https://www.bibsonomy.org/bibtex/21aebc04aabe7e042f994a214fa0a95e6/preksha726},
doi = {10.1145/1084805.1084814},
interhash = {09445a37475c8552896b98e981ab40ad},
intrahash = {1aebc04aabe7e042f994a214fa0a95e6},
issn = {0163-5808},
issue_date = {September 2005},
journal = {SIGMOD Rec.},
keywords = {Grid ScientificWorkflow},
month = sep,
number = 3,
numpages = {6},
pages = {44--49},
publisher = {ACM},
timestamp = {2017-12-10T00:26:45.000+0100},
title = {A Taxonomy of Scientific Workflow Systems for Grid Computing},
url = {http://doi.acm.org/10.1145/1084805.1084814},
volume = 34,
year = 2005
}