Software Framework for Evaluating and Optimizing Data Acquisition Efficiency
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, J.S. | - |
dc.contributor.author | Kim, S.D. | - |
dc.date.available | 2019-04-10T09:54:12Z | - |
dc.date.created | 2019-02-19 | - |
dc.date.issued | 2018-12 | - |
dc.identifier.isbn | 9781538626528 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/32373 | - |
dc.description.abstract | Industry Automation Systems such as Power Grid Control System typically acquire various measurement data and environmental information, validate the acquired dataset, and process the dataset. There are three representative data acquisition schemes; pulling, pushing, and notify-n-fetch. Pulling is the most common, however, pulling could result in acquiring unchanged measurements and missing new measurements. Pushing can result in transmitting unnecessary measurements. In this paper, we propose a design of a software platform which can apply quantitatively evaluate the efficiencies of data acquisition schemes and automatically generate the efficiency optimization methods using the evaluation. Using the platform, the runtime efficiency of acquiring contexts is increased while the resource consumption such as energy consumption and network traffic is greatly reduced. © 2017 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.isPartOf | Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 | - |
dc.title | Software Framework for Evaluating and Optimizing Data Acquisition Efficiency | - |
dc.type | Conference | - |
dc.identifier.doi | 10.1109/CSCI.2017.181 | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | , pp.1043 - 1046 | - |
dc.identifier.scopusid | 2-s2.0-85060620569 | - |
dc.citation.conferencePlace | US | - |
dc.citation.endPage | 1046 | - |
dc.citation.startPage | 1043 | - |
dc.contributor.affiliatedAuthor | Kim, S.D. | - |
dc.type.docType | Conference Paper | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.