Actor Petri net Model: Toward suitable and flexible level representation of scientific workflows

Nanshan Du, Qing Li, Yiwen Liang, Farong Zhong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Applications of scientific workflows are going to be more widespread and important to our living and lives. The intrinsic characteristics of scientific workflows are data- and computing-intensive, heterogeneous data representation and distributed execution environments. Scientists use different equipment to retrieve source data by monitoring objects and then store or process on many different workstations. Actor Petri net Model (APnM) helps develop scientific work-flows effectively and efficiently within collaboration and cooperation work mode. Scientific workflow environments based on APnM can help scientists pay close attention to functional components development, and choose flexible mechanisms on error management, transaction and exception management, and priority processing. Scientific workflows represented based on APnM can be operated both on design and run time to support trial and error development. From the perspective of software engineering, it is a suitable level of indirection to resolve the development, testing, and simulation complexity of scientific workflows.

Original languageEnglish
Title of host publicationComputer and Information Sciences - Proceedings of the 25th International Symposium on Computer and Information Sciences
Number of pages6
Publication statusPublished - 12 Nov 2010
Externally publishedYes
Event25th International Symposium on Computer and Information Sciences, ISCIS 2010 - London, United Kingdom
Duration: 22 Sep 201024 Sep 2010

Publication series

NameLecture Notes in Electrical Engineering
Volume62 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Conference25th International Symposium on Computer and Information Sciences, ISCIS 2010
Country/TerritoryUnited Kingdom

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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