9 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.CR2023★ 3 cited
No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems
Mikhail Fomichev, Manisha Luthra, Maik Benndorf +1
Stream processing systems (SPSs) have been designed to process data streams in real-time, allowing organizations to analyze and act upon data on-the-fly, as it is generated. Howeve…
cs.DC2022★ 9 cited
Zero-Shot Cost Models for Distributed Stream Processing
Roman Heinrich, Manisha Luthra, Harald Kornmayer +1
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…