<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/EA294D54-5302-4702-96B3-788F482F12BE"><efrbr-work:titleOfTheWork>Smilax: statistical machine learning autoscaler agent for Apache Flink</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/EA294D54-5302-4702-96B3-788F482F12BE"><efrbr-expression:titleOfTheExpression>Smilax: statistical machine learning autoscaler agent for Apache Flink</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Δημοσίευση σε Συνέδριο
            Conference Publication
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2023-07-04</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2021</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>Smilax is a statistical machine learning autoscaler agent for applications running on Apache Flink. Smilax agent acts proactively by predicting the forthcoming workload in order to adjust the allocation of workers to the actual needs of an application ahead of time. During an online training phase, Smilax builds a model which maps the performance of the application to the minimum number of servers. During the work (optimal) phase, Smilax maintains the performance of the application within acceptable limits (i.e. defined in the form of SLAs) while minimizing the utilization of resources. The effectiveness of Smilax is assessed experimentally by running a data intensive fraud detection application.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="page range">433–444</efrbr-expression:note><efrbr-expression:note type="conference name">35th International Conference on Advanced Information Networking and Applications</efrbr-expression:note><efrbr-expression:note type="proceedings title">Proceedings of the 35th International Conference on Advanced Information Networking and Applications</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~pgiannakopoulos1"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Giannakopoulos Panagiotis
            Γιαννακοπουλος Παναγιωτης
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~epetrakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Petrakis Evripidis
            Πετρακης Ευριπιδης
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-corporateBody:corporateBody identifier="https://v2.sherpa.ac.uk/id/publisher/3291"><efrbr-corporateBody:nameOfTheCorporateBody vocabulary="S/R:PUBLISHERS">
            Springer
         </efrbr-corporateBody:nameOfTheCorporateBody></efrbr-corporateBody:corporateBody><efrbr-concept:concept identifier="5874B90B-5A7D-429B-8B19-F296036BACD8"><efrbr-concept:termForTheConcept>
            Machine learning autoscaler agent
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