A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
This paper addresses the problem of designing scaling strategies for elastic data stream processing. Elasticity allows applications to rapidly change their configuration on-the-fly (e.g., the amount of used resources) in response to dynamic workload fluctuations. In this work we face this problem by adopting the Model Predictive Control technique, a control-theoretic method aimed at finding the optimal application configuration along a limited prediction horizon in the future by solving andoi:10.1145/2851141.2851148 dblp:conf/ppopp/MatteisM16 fatcat:xnnbxolrgvfy5p6uszgtuplcl4