Towards a scalable framework for artifact-centric business process management systems

Jiankun Lei; Rufan Bai; Lipeng Guo; Liang Zhang

doi:10.1007/978-3-319-48743-4_25

Towards a scalable framework for artifact-centric business process management systems

Jiankun Lei, Rufan Bai, Lipeng Guo, Liang Zhang^*

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

2 Citations (Scopus)

Abstract

Over the last decade we have witnessed the success of artifact-centric approach in business process management (BPM). However the scalability issue was neglected by almost all its implementation frameworks. A non-scalable framework will severely hamper applicability of corresponding artifact-centric BPM systems in large-scale applications. Considering distinct characteristics of the Representational State Transfer (REST) architectural style we propose a distributed artifactcentric BPM framework based on REST principles. A prototype is developed using Docker-based micro services for continuously delivering of process engine instances. Through extensive experiments against a typical process-aware application we confirm that the proposed framework is promising to support scalable artifact-centric BPM systems.

Original language	English
Title of host publication	Web Information Systems Engineering – WISE 2016 - 17th International Conference, Proceedings
Editors	Jianmin Wang, Mohamed F. Mokbel, Hua Wang, Rui Zhou, Yanchun Zhang, Wojciech Cellary
Publisher	Springer Verlag
Pages	309-323
Number of pages	15
ISBN (Print)	9783319487427
DOIs	https://doi.org/10.1007/978-3-319-48743-4_25
Publication status	Published - 2016
Externally published	Yes
Event	17th International Conference on Web Information Systems Engineering, WISE 2016 - Shanghai, China Duration: 8 Nov 2016 → 10 Nov 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10042 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Web Information Systems Engineering, WISE 2016
Country/Territory	China
City	Shanghai
Period	8/11/16 → 10/11/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.

Keywords

Artifact-centric business process
REST
Scalable framework

Access to Document

10.1007/978-3-319-48743-4_25

Cite this

Lei, J., Bai, R., Guo, L., & Zhang, L. (2016). Towards a scalable framework for artifact-centric business process management systems. In J. Wang, M. F. Mokbel, H. Wang, R. Zhou, Y. Zhang, & W. Cellary (Eds.), Web Information Systems Engineering – WISE 2016 - 17th International Conference, Proceedings (pp. 309-323). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10042 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-48743-4_25

Lei, Jiankun ; Bai, Rufan ; Guo, Lipeng et al. / Towards a scalable framework for artifact-centric business process management systems. Web Information Systems Engineering – WISE 2016 - 17th International Conference, Proceedings. editor / Jianmin Wang ; Mohamed F. Mokbel ; Hua Wang ; Rui Zhou ; Yanchun Zhang ; Wojciech Cellary. Springer Verlag, 2016. pp. 309-323 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Over the last decade we have witnessed the success of artifact-centric approach in business process management (BPM). However the scalability issue was neglected by almost all its implementation frameworks. A non-scalable framework will severely hamper applicability of corresponding artifact-centric BPM systems in large-scale applications. Considering distinct characteristics of the Representational State Transfer (REST) architectural style we propose a distributed artifactcentric BPM framework based on REST principles. A prototype is developed using Docker-based micro services for continuously delivering of process engine instances. Through extensive experiments against a typical process-aware application we confirm that the proposed framework is promising to support scalable artifact-centric BPM systems.",

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author = "Jiankun Lei and Rufan Bai and Lipeng Guo and Liang Zhang",

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year = "2016",

doi = "10.1007/978-3-319-48743-4\_25",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Lei, J, Bai, R, Guo, L & Zhang, L 2016, Towards a scalable framework for artifact-centric business process management systems. in J Wang, MF Mokbel, H Wang, R Zhou, Y Zhang & W Cellary (eds), Web Information Systems Engineering – WISE 2016 - 17th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10042 LNCS, Springer Verlag, pp. 309-323, 17th International Conference on Web Information Systems Engineering, WISE 2016, Shanghai, China, 8/11/16. https://doi.org/10.1007/978-3-319-48743-4_25

Towards a scalable framework for artifact-centric business process management systems. / Lei, Jiankun; Bai, Rufan; Guo, Lipeng et al.
Web Information Systems Engineering – WISE 2016 - 17th International Conference, Proceedings. ed. / Jianmin Wang; Mohamed F. Mokbel; Hua Wang; Rui Zhou; Yanchun Zhang; Wojciech Cellary. Springer Verlag, 2016. p. 309-323 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10042 LNCS).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Towards a scalable framework for artifact-centric business process management systems

AU - Lei, Jiankun

AU - Bai, Rufan

AU - Guo, Lipeng

AU - Zhang, Liang

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - Over the last decade we have witnessed the success of artifact-centric approach in business process management (BPM). However the scalability issue was neglected by almost all its implementation frameworks. A non-scalable framework will severely hamper applicability of corresponding artifact-centric BPM systems in large-scale applications. Considering distinct characteristics of the Representational State Transfer (REST) architectural style we propose a distributed artifactcentric BPM framework based on REST principles. A prototype is developed using Docker-based micro services for continuously delivering of process engine instances. Through extensive experiments against a typical process-aware application we confirm that the proposed framework is promising to support scalable artifact-centric BPM systems.

AB - Over the last decade we have witnessed the success of artifact-centric approach in business process management (BPM). However the scalability issue was neglected by almost all its implementation frameworks. A non-scalable framework will severely hamper applicability of corresponding artifact-centric BPM systems in large-scale applications. Considering distinct characteristics of the Representational State Transfer (REST) architectural style we propose a distributed artifactcentric BPM framework based on REST principles. A prototype is developed using Docker-based micro services for continuously delivering of process engine instances. Through extensive experiments against a typical process-aware application we confirm that the proposed framework is promising to support scalable artifact-centric BPM systems.

KW - Artifact-centric business process

KW - REST

KW - Scalable framework

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DO - 10.1007/978-3-319-48743-4_25

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SN - 9783319487427

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 309

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BT - Web Information Systems Engineering – WISE 2016 - 17th International Conference, Proceedings

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A2 - Mokbel, Mohamed F.

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Lei J, Bai R, Guo L, Zhang L. Towards a scalable framework for artifact-centric business process management systems. In Wang J, Mokbel MF, Wang H, Zhou R, Zhang Y, Cellary W, editors, Web Information Systems Engineering – WISE 2016 - 17th International Conference, Proceedings. Springer Verlag. 2016. p. 309-323. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-48743-4_25

Towards a scalable framework for artifact-centric business process management systems

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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