Dynamic CPU resource provisioning in virtualized servers using maximum correntropy criterion Kalman filters

Evagoras Makridis, Kyriakos M. Deliparaschos, Evangelia Kalyvianaki, Themistoklis Charalambous

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

Abstrakti

Virtualized servers have been the key for the efficient deployment of cloud applications. As the application demand increases, it is important to dynamically adjust the CPU allocation of each component in order to save resources for other applications and keep performance high, e.g., the client mean response time (mRT) should be kept below a Quality of Service (QoS) target. In this work, a new form of Kalman filter, called the Maximum Correntropy Criterion Kalman Filter (MCC-KF), has been used in order to predict, and hence, adjust the CPU allocations of each component while the RUBiS auction site workload changes randomly as the number of clients varies. MCC-KF has shown high performance when the noise is non-Gaussian, as it is the case in the CPU usage. Numerical evaluations compare our designed framework with other current state-of-the-art using real-data via the RUBiS benchmark website deployed on a prototype Xen-virtualized cluster.
AlkuperäiskieliEnglanti
OtsikkoProceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
KustantajaIEEE
Sivumäärä8
ISBN (elektroninen)978-1-5090-6505-9
DOI - pysyväislinkit
TilaJulkaistu - 8 tammikuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE International Conference on Emerging Technologies and Factory Automation - Limassol, Kypros
Kesto: 12 syyskuuta 201715 syyskuuta 2017
Konferenssinumero: 22

Julkaisusarja

NimiProceedings IEEE International Conference on Emerging Technologies and Factory Automation
KustantajaIEEE
ISSN (painettu)1946-0740
ISSN (elektroninen)2379-9560

Conference

ConferenceIEEE International Conference on Emerging Technologies and Factory Automation
LyhennettäETFA
MaaKypros
KaupunkiLimassol
Ajanjakso12/09/201715/09/2017

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  • Siteeraa tätä

    Makridis, E., Deliparaschos, K. M., Kalyvianaki, E., & Charalambous, T. (2018). Dynamic CPU resource provisioning in virtualized servers using maximum correntropy criterion Kalman filters. teoksessa Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017 (Proceedings IEEE International Conference on Emerging Technologies and Factory Automation). IEEE. https://doi.org/10.1109/ETFA.2017.8247677