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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | da Cruz, S.M.S. Cruz, P.V. de Macedo Vieira, A.C. |
| Copyright Year | 2012 |
| Description | Author affiliation: Instituto de Ciências Exatas, Universidade Federal Rural do Rio de Janeiro - UFRRJ, Seropédica, Brazil (da Cruz, S.M.S.; Cruz, P.V.) || Faculdade de Farmácia, Universidade Federal do Rio de Janeiro - UFRJ, Ilha do Fundão, Brazil (de Macedo Vieira, A.C.) |
| Abstract | New paradigms are enabling the effective deployment and execution of distributed computing services. The chemical paradigm provides a high-level execution model that allows running scientific workflows in a fully decentralized manner. The paradigm is based on a nature metaphor and envisioned as a chemical reaction where molecules react autonomously according to local conditions. However, up to now, is the emerging chemical-inspired Scientific Workflow Management System (Chem-SWfMS) are decoupled from the concept of provenance. We posit that provenance metadata will play a central role in emerging advanced chemical-inspired workflow engines. In this paper we introduce the central role of provenance on the chemical programming model and also describe several requirements and desiderata for chemical-inspired workflow engines. |
| Starting Page | 138 |
| Ending Page | 143 |
| File Size | 498963 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467308380 |
| e-ISBN | 9781908320056 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-25 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Infonomics Society |
| Subject Keyword | Provenance Chemical programming Scientific workflows Chemistry-inspired models Chemicals |
| Content Type | Text |
| Resource Type | Article |
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