@inproceedings{
 title = {A multi-dimensional classification model for scientific workflow characteristics},
 type = {inproceedings},
 year = {2010},
 id = {bba58d11-bbd6-32e5-9926-a8b7f9482ccb},
 created = {2018-03-05T18:20:27.296Z},
 file_attached = {false},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 group_id = {9d761a94-2f2d-31ce-a8c3-50aa6d668643},
 last_modified = {2018-04-23T17:10:50.319Z},
 read = {true},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Ramakrishnan2010a},
 private_publication = {false},
 abstract = {Workflows have been used to model repeatable tasks or operations in manufacturing, business process, and software. In recent years, workflows are increasingly used for orchestration of science discovery tasks that use distributed resources and web services environments through resource models such as grid and cloud computing. Workflows have disparate requirements and constraints that affects how they might be managed in distributed environments. In this paper, we present a multi-dimensional classification model illustrated by workflow examples obtained through a survey of scientists from different domains including bioinformatics and biomed-ical, weather and ocean modeling, astronomy detailing their data and computational requirements. The survey results and classification model contribute to the high level understanding of scientific workflows. © 2010 ACM.},
 bibtype = {inproceedings},
 author = {Ramakrishnan, L. and Plale, B.},
 doi = {10.1145/1833398.1833402},
 booktitle = {Proceedings of the ACM SIGMOD International Conference on Management of Data}
}

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