dc.contributor.author | Gounaris, A. | en |
dc.contributor.author | Yfoulis, C. | en |
dc.contributor.author | Sakellariou, R. | en |
dc.contributor.author | Dikaiakos, Marios D. | en |
dc.creator | Gounaris, A. | en |
dc.creator | Yfoulis, C. | en |
dc.creator | Sakellariou, R. | en |
dc.creator | Dikaiakos, Marios D. | en |
dc.date.accessioned | 2019-11-13T10:40:17Z | |
dc.date.available | 2019-11-13T10:40:17Z | |
dc.date.issued | 2008 | |
dc.identifier.isbn | 978-1-4244-1837-4 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54045 | |
dc.description.abstract | Self-managing solutions have recently attracted a lot of interest from the database community. The need for self-* properties is more evident in distributed applications comprising heterogeneous and autonomous databases and functionality providers. Such resources are typically exposed as Web Services (WSs), which encapsulate remote DBMSs and functions called from within database queries. In this setting, database queries are over WSs, and the data transfer cost becomes the main bottleneck. To reduce this cost, data is shipped to and from WSs in chunks | en |
dc.description.abstract | however the optimum chunk size is volatile, depending on both the resources' runtime properties and the query. In this paper we propose a robust control theoretical solution to the problem of optimizing the data transfer in queries over WSs, by continuously tuning at runtime the block size and thus tracking the optimum point. Also, we develop online system identification mechanisms that are capable of estimating the optimum block size analytically. Both contributions are evaluated via both empirical experimentation in a real environment and simulations, and have been proved to be more effective and efficient than static solutions. © 2008 IEEE. | en |
dc.source | Proceedings - International Conference on Data Engineering | en |
dc.source | 2008 IEEE 24th International Conference on Data Engineering, ICDE'08 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-52649114221&doi=10.1109%2fICDE.2008.4497468&partnerID=40&md5=3a2a8a933b66ac23769fd9cf59e7177e | |
dc.subject | World Wide Web | en |
dc.subject | Technology | en |
dc.subject | Optimization | en |
dc.subject | Information services | en |
dc.subject | Control theory | en |
dc.subject | Robust control | en |
dc.subject | Computer systems | en |
dc.subject | Data transfer | en |
dc.subject | Solutions | en |
dc.subject | International conferences | en |
dc.subject | Database systems | en |
dc.subject | Web services | en |
dc.subject | Distributed applications | en |
dc.subject | Block sizes | en |
dc.subject | Data engineering | en |
dc.subject | Data transfer cost | en |
dc.subject | Database community | en |
dc.subject | Database querying | en |
dc.subject | On-line system identification | en |
dc.subject | Real environments | en |
dc.subject | Run-time | en |
dc.subject | Run-time optimization | en |
dc.subject | Self-managing | en |
dc.subject | Static solutions | en |
dc.title | Robust runtime optimization of data transfer in queries over web services | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/ICDE.2008.4497468 | |
dc.description.startingpage | 596 | |
dc.description.endingpage | 605 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Conference code: 73145 | en |
dc.description.notes | Cited By :23</p> | en |
dc.contributor.orcid | Dikaiakos, Marios D. [0000-0002-4350-6058] | |
dc.gnosis.orcid | 0000-0002-4350-6058 | |