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MEAD: Model-Based Vertical Auto-Scaling for Data Stream Pro..:
, In:
2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
,
Russo, Gabriele Russo
;
Cardellini, Valeria
;
Casale, Giuliano
. - p. 314-323 , 2021
Link:
https://doi.org/10.1109/CCGrid51090.2021.00041
RT T1 <cTitle>2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)</cTitle>: T1 <Title>MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9499481&Exemplar=1&LAN=DE A1 Russo, Gabriele Russo A1 Cardellini, Valeria A1 Casale, Giuliano A1 Presti, Francesco Lo YR 2021 K1 Measurement K1 Cloud computing K1 Analytical models K1 Computational modeling K1 Estimation K1 Predictive models K1 Data models K1 data stream processing K1 auto-scaling K1 workload characterization K1 Markovian Arrival Processes SP 314 OP 323 LK http://dx.doi.org/https://doi.org/10.1109/CCGrid51090.2021.00041 DO https://doi.org/10.1109/CCGrid51090.2021.00041 SF ELIB - SuUB Bremen
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