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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wlodarczyk, T.W. Chunming Rong Baodong Jia Cocanu, L. Nyulas, C.I. Musen, M.A. |
| Copyright Year | 2010 |
| Abstract | Cloud-based systems have proven to be a powerful technology for building data-intensive applications. However, the process of designing and deploying such applications is still primarily a manual one. There is a need for mechanisms and tools to help automate the required development steps. Using the Semantic Web ontology language OWL and the Hadoop platform we have developed a number of models and associated software tools that provide an end-to-end solution for designing and deploying cloud-based systems. This solution supports the construction of detailed models of data dependencies and their validation. It also enables generation and deployment of cloud-based data flows from those models. We illustrate its use for detecting alarm scenarios using data from vast underwater sensor-network. |
| Starting Page | 123 |
| Ending Page | 127 |
| File Size | 729056 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424481996 |
| DOI | 10.1109/SERVICES.2010.92 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Connectors Cloud computing Data analysis Computational modeling Ontology OWL Process control Hadoop Ontologies Task-method decomposition MapReduce |
| Content Type | Text |
| Resource Type | Article |
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