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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yan Liu Gorton, I. Wynne, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Pacific Northwest Nat. Lab., Richland, WA, USA (Gorton, I.; Wynne, A.) || Concordia Univ., Montreal, QC, Canada (Yan Liu) |
| Abstract | Adaptivity is the ability of a program to change its behavior automatically according to its context. Programs over multiple scientific workflows and analytic domains have similar needs of adaptivity to handle data intensive computing. These include dynamically selecting analytical models or processes according to data sets at runtime, handling exceptions to make long running workflows reliable, and reducing large volumes of data to a suitable form for visualization. Architecture support to reuse these adaptive techniques across different scientific domains helps to enhance the workflows' efficiency, extensibility and reliability. In this paper, a service oriented architecture framework is presented to compose adaptive scientific workflows. This framework has a core of service components and mechanisms that eases the interoperation between disparate workflows and programs that encapsulate the adaptive control logic. The uses of this framework are demonstrated by scientific workflow scenarios. |
| Starting Page | 309 |
| Ending Page | 314 |
| File Size | 799133 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467356596 |
| e-ISBN | 9780769549446 |
| DOI | 10.1109/SOSE.2013.37 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-03-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Connectors Adaptation models scientific workflow SOA Pipelines Buildings adaptive software Adaptive control Monitoring Meteorology |
| Content Type | Text |
| Resource Type | Article |
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