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In this work, we present COSTREAM, a novel learned cost model for Distributed Stream Processing Systems that provides accurate predictions of the execution costs of a streaming query in an edge-cloud environment. The cost model can be used to find an
Externí odkaz:
http://arxiv.org/abs/2403.08444
This paper proposes a learned cost estimation model for Distributed Stream Processing Systems (DSPS) with an aim to provide accurate cost predictions of executing queries. A major premise of this work is that the proposed learned model can generalize
Externí odkaz:
http://arxiv.org/abs/2207.03823
Autor:
Heinrich, Roman1 roman.heinrich@creditplus.de
Publikováno v:
Finanzierung Leasing Factoring. mar2016, Vol. 63 Issue 2, p73-76. 4p.
