Serverless computing for data analytics involves trade-offs in disaggregation, isolation, and scheduling that push most workloads toward hybrid Servermix architectures.
Serverless computing: One step forward, two steps back.Conference on Innovative Data Systems Research (CIDR’19)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
ServerMix: Tradeoffs and Challenges of Serverless Data Analytics
Serverless computing for data analytics involves trade-offs in disaggregation, isolation, and scheduling that push most workloads toward hybrid Servermix architectures.