Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation

1 code implementation • 27 Aug 2021 • Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao

Distributed dataflow systems like Spark and Flink enable the use of clusters for scalable data analytics.

Descriptive

Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies

1 code implementation • 9 Mar 2021 • Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao

Operation and maintenance of large distributed cloud applications can quickly become unmanageably complex, putting human operators under immense stress when problems occur.