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Ιδρυματικό Αποθετήριο [SANDBOX]
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| URI | http://purl.tuc.gr/dl/dias/1130B174-AF1E-4AD0-9BD6-85220ED02BC3 | - |
| Αναγνωριστικό | http://ieeexplore.ieee.org/document/6678505/ | - |
| Αναγνωριστικό | https://doi.org/10.1109/TKDE.2013.180 | - |
| Γλώσσα | en | - |
| Μέγεθος | 14 pages | en |
| Τίτλος | Geometric monitoring of heterogeneous streams | en |
| Δημιουργός | Keren Daniel | en |
| Δημιουργός | Sagy Guy | en |
| Δημιουργός | Abboud Amir | en |
| Δημιουργός | Ben-David David | en |
| Δημιουργός | Schuster Assaf | en |
| Δημιουργός | Sharfman Izchak | en |
| Δημιουργός | Deligiannakis Antonios | en |
| Δημιουργός | Δεληγιαννακης Αντωνιος | el |
| Εκδότης | Institute of Electrical and Electronics Engineers | en |
| Περίληψη | Interest in stream monitoring is shifting toward the distributed case. In many applications the data is high volume, dynamic, and distributed, making it infeasible to collect the distinct streams to a central node for processing. Often, the monitoring problem consists of determining whether the value of a global function, defined on the union of all streams, crossed a certain threshold. We wish to reduce communication by transforming the global monitoring to the testing of local constraints, checked independently at the nodes. Geometric monitoring (GM) proved useful for constructing such local constraints for general functions. Alas, in GM the constraints at all nodes share an identical structure and are thus unsuitable for handling heterogeneous streams. Therefore, we propose a general approach for monitoring heterogeneous streams (HGM), which defines constraints tailored to fit the data distributions at the nodes. While we prove that optimally selecting the constraints is NP-hard, we provide a practical solution, which reduces the running time by hierarchically clustering nodes with similar data distributions and then solving simpler optimization problems. We also present a method for efficiently recovering from local violations at the nodes. Experiments yield an improvement of over an order of magnitude in communication relative to GM. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-11-01 | - |
| Ημερομηνία Δημοσίευσης | 2014 | - |
| Θεματική Κατηγορία | Monitoring | en |
| Θεματική Κατηγορία | Vectors | en |
| Θεματική Κατηγορία | Distributed databases | en |
| Θεματική Κατηγορία | Optimization | en |
| Θεματική Κατηγορία | Correlation | en |
| Θεματική Κατηγορία | Nickel | en |
| Θεματική Κατηγορία | Data models | en |
| Βιβλιογραφική Αναφορά | D. Keren, G. Sagy, A. Abboud, D. Ben-David, A. Schuster, I. Sharfman and A. Deligiannakis, "Geometric monitoring of heterogeneous streams," IEEE Trans. Knowl. Data Eng., vol. 26, no. 8, pp. 1890-1903, Aug. 2014. doi:10.1109/TKDE.2013.180 | en |
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