BPMN task instance streaming for efficient micro-task crowdsourcing processes

Stefano Tranquillini, Florian Daniel, Pavel Kucherbaev, Fabio Casati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


The Business Process Model and Notation (BPMN) is a standard for modeling and executing business processes with human or machine tasks. The semantics of tasks is usually discrete: a task has exactly one start event and one end event; for multi-instance tasks, all instances must complete before an end event is emitted. We propose a new task type and streaming connector for crowdsourcing able to run hundreds or thousands of micro-task instances in parallel. The two constructs provide for task streaming semantics that is new to BPMN, enable the modeling and efficient enactment of complex crowdsourcing scenarios, and are applicable also beyond the special case of crowdsourcing. We implement the necessary design and runtime support on top of Crowd- Flower, demonstrate the viability of the approach via a case study, and report on a set of runtime performance experiments.

Original languageEnglish
Title of host publicationBusiness Process Management - 13th International Conference, BPM 2015, Proceedings
PublisherSpringer Verlag
Number of pages17
ISBN (Print)9783319230627
Publication statusPublished - 2015
Event13th International Conference on Business Process Management, BPM 2015 - Innsbruck, Austria
Duration: 31 Aug 20153 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th International Conference on Business Process Management, BPM 2015


  • BPMN
  • Crowdsourcing processes
  • Task instance streaming

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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