{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T21:17:41Z","timestamp":1740172661825,"version":"3.37.3"},"reference-count":9,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","funder":[{"DOI":"10.13039\/501100004895","name":"European Social Fund","doi-asserted-by":"crossref","award":["EFOP-3.6.3-VEKOP-16-2017-00002"],"award-info":[{"award-number":["EFOP-3.6.3-VEKOP-16-2017-00002"]}],"id":[{"id":"10.13039\/501100004895","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Vietnam J. Comp. Sci."],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:p> In network telemetry systems, nodes produce vast number of configuration files based on how they are configured. Steps were taken to process these files into databases to help the work of the developers, testers and customer support to focus on the development and testing and to be able to give advice to the customers about how to configure the nodes. However, the processing of these data in relational database manager system is slow, hard to query and the storage takes huge disk space. <\/jats:p><jats:p> In this paper, we are presenting a way to store the data produced by these nodes in graph database, changing from relational database to NoSQL environment. With our approach, one can easily represent and visualize the network of machines. <\/jats:p><jats:p> In the end, we are going to compare the inserting, querying time and storage size in different database manager systems. The results could also be used for other types of configuration data too from other kinds of machines to show the connection between them and query them easily. <\/jats:p>","DOI":"10.1142\/s2196888820500037","type":"journal-article","created":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T04:21:22Z","timestamp":1573705282000},"page":"65-76","source":"Crossref","is-referenced-by-count":3,"title":["Process, Analyze and Visualize Telecommunication Network Configuration Data in Graph Database"],"prefix":"10.1142","volume":"07","author":[{"given":"P\u00e9ter","family":"Lehotay-K\u00e9ry","sequence":"first","affiliation":[{"name":"Department of Information Systems, ELTE E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary"},{"name":"Ericsson Hungary, Budapest, Hungary"}]},{"given":"Attila","family":"Kiss","sequence":"additional","affiliation":[{"name":"Department of Information Systems, ELTE E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary"},{"name":"Department of Mathematics and Informatics, J. Selye University, Kom\u00e1rno, Slovakia"}]}],"member":"219","published-online":{"date-parts":[[2019,12,11]]},"reference":[{"key":"S2196888820500037BIB001","doi-asserted-by":"publisher","DOI":"10.23919\/INM.2017.7987356"},{"key":"S2196888820500037BIB003","first-page":"109","volume-title":"2013 IFIP\/IEEE Int. Symp. Integrated Network Management (IM 2013)","author":"Uddin M.","year":"2013"},{"volume-title":"Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit","year":"2009","author":"Bird S.","key":"S2196888820500037BIB006"},{"volume-title":"Text Processing with Python","year":"2003","author":"Mertz D.","key":"S2196888820500037BIB007"},{"volume-title":"MySQL","year":"2008","author":"DuBois P.","key":"S2196888820500037BIB008"},{"volume-title":"MySQL for Python","year":"2010","author":"Lukaszewski A.","key":"S2196888820500037BIB009"},{"key":"S2196888820500037BIB010","volume-title":"Neo4j in Action","volume":"22","author":"Vukotic A.","year":"2015"},{"volume-title":"Learning Neo4j","year":"2014","author":"Bruggen R. V.","key":"S2196888820500037BIB011"},{"volume-title":"Building Web Applications with Python and Neo4j","year":"2015","author":"Gupta S.","key":"S2196888820500037BIB012"}],"container-title":["Vietnam Journal of Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S2196888820500037","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,26]],"date-time":"2020-02-26T03:34:05Z","timestamp":1582688045000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S2196888820500037"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,11]]},"references-count":9,"journal-issue":{"issue":"01","published-print":{"date-parts":[[2020,2]]}},"alternative-id":["10.1142\/S2196888820500037"],"URL":"https:\/\/doi.org\/10.1142\/s2196888820500037","relation":{},"ISSN":["2196-8888","2196-8896"],"issn-type":[{"type":"print","value":"2196-8888"},{"type":"electronic","value":"2196-8896"}],"subject":[],"published":{"date-parts":[[2019,12,11]]}}}