Proceedings-Artikel

Process Discovery in the Cloud – A Scalable, Distributed Implementation of the Flexible Heuristics Miner on the Amazon Kinesis Cloud Infrastructure

Jörg Evermann; Jana-Rebecca Rehse; Peter Fettke
In: Proceedings of the 1st Workshop on Business Process Monitoring and Performance Analysis in the Cloud. Workshop on Business Process Monitoring and Performance Analysis in the Cloud (CloudBPM-2016), located at 8th IEEE International Conference on Cloud Computing Technology and Science, December 12-15, Luxemburg, Luxembourg, IEEE, 2016.

Abstract

Cloud computing offers readily available, scalable infrastructure to tackle problems involving high data volume and velocity. Discovering processes from event streams, especially when the business processes execute in a cloud environment, is such a problem. Event stream data is generated rapidly with varying volume and must be processed on-the-fly, making stream processing an important use case for cloud computing. This paper describes a distributed, streaming implementation of the flexible heuristics miner on Amazon Kinesis, a cloud-based event stream infrastructure, showing how mining methods can scale effortlessly to tens of millions of events per minute.

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