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Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads
[article]
2022
arXiv
pre-print
Distributed Stream Processing systems have become an essential part of big data processing platforms. They are characterized by the high-throughput processing of near to real-time event streams with the goal of delivering low-latency results and thus enabling time-sensitive decision making. At the same time, results are expected to be consistent even in the presence of partial failures where exactly-once processing guarantees are required for correctness. Stream processing workloads are
arXiv:2206.09679v1
fatcat:64tszsslj5hibfja3empjba7re