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Smilax: statistical machine learning autoscaler agent for Apache Flink

Giannakopoulos Panagiotis, Petrakis Evripidis

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URIhttp://purl.tuc.gr/dl/dias/EA294D54-5302-4702-96B3-788F482F12BE-
Identifierhttps://doi.org/10.1007/978-3-030-75075-6_35-
Identifierhttps://link.springer.com/chapter/10.1007/978-3-030-75075-6_35-
Languageen-
Extent12 pagesen
TitleSmilax: statistical machine learning autoscaler agent for Apache Flinken
CreatorGiannakopoulos Panagiotisen
CreatorΓιαννακοπουλος Παναγιωτηςel
CreatorPetrakis Evripidisen
CreatorΠετρακης Ευριπιδηςel
PublisherSpringeren
Content SummarySmilax 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.en
Type of ItemΔημοσίευση σε Συνέδριοel
Type of ItemConference Publicationen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2023-07-04-
Date of Publication2021-
SubjectMachine learning autoscaler agenten
Bibliographic CitationP. Giannakopoulos, and E. G. M. Petrakis, “Smilax: statistical machine learning autoscaler agent for Apache Flink,” in Advanced Information Networking and Applications, vol. 226, Lecture Notes in Networks and Systems, L. Barolli, I. Woungang, T. Enokido, Eds., Cham, Switzerland: Springer Nature, 2021, pp. 433–444, doi: 10.1007/978-3-030-75075-6_35.en

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