Switching parties in a collaboration at run-time

S. Pourmirza; R.M. Dijkman; P.W.P.J. Grefen

doi:10.1109/EDOC.2014.27

Switching parties in a collaboration at run-time

S. Pourmirza, R.M. Dijkman, P.W.P.J. Grefen

Information Systems IE&IS

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

Abstract

During the execution of a service collaboration, a party may drop out for technical reasons or business reasons. In that case, that party must be replaced in the collaboration, at run-time, by a new party. Ideally, the new party can pick up where the old party left. Currently, algorithms exist that can help with the selection and adaptation of the new party to incorporate it in the collaboration. Also, algorithms exist that can help to pick up a business process where it left off. However, to the best of our knowledge, no algorithms exist that can help a new party in a collaboration to pick up where the old party left off. This paper fills that gap, by providing an overview of the components and operations that are necessary to enable a party in a collaboration to be replaced by another party at run-time. In addition the paper presents two strategies, and the corresponding algorithms, that realize the architecture. As a proof-of-concept, a tool was developed that implements both strategies.

Original language	English
Title of host publication	Proceedings of the 2014 IEEE 18th International Enterprise Distributed Object Computing Conference (EDOC '14, Ulm, Germany, September 1-5, 2014)
Editors	Manfred Reichert, Stefanie Rinderle-Ma, Georg Grossmann
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	136-141
ISBN (Print)	9781479954704
DOIs	https://doi.org/10.1109/EDOC.2014.27
Publication status	Published - 2014
Event	18th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2014) - Ulm, Germany Duration: 1 Sept 2014 → 5 Sept 2014 Conference number: 18

Conference

Conference	18th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2014)
Abbreviated title	EDOC 2014
Country/Territory	Germany
City	Ulm
Period	1/09/14 → 5/09/14

Access to Document

10.1109/EDOC.2014.27

Cite this

Pourmirza, S., Dijkman, R. M., & Grefen, P. W. P. J. (2014). Switching parties in a collaboration at run-time. In M. Reichert, S. Rinderle-Ma, & G. Grossmann (Eds.), Proceedings of the 2014 IEEE 18th International Enterprise Distributed Object Computing Conference (EDOC '14, Ulm, Germany, September 1-5, 2014) (pp. 136-141). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EDOC.2014.27

Pourmirza, S. ; Dijkman, R.M. ; Grefen, P.W.P.J. / Switching parties in a collaboration at run-time. Proceedings of the 2014 IEEE 18th International Enterprise Distributed Object Computing Conference (EDOC '14, Ulm, Germany, September 1-5, 2014). editor / Manfred Reichert ; Stefanie Rinderle-Ma ; Georg Grossmann. Piscataway : Institute of Electrical and Electronics Engineers, 2014. pp. 136-141

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title = "Switching parties in a collaboration at run-time",

abstract = "During the execution of a service collaboration, a party may drop out for technical reasons or business reasons. In that case, that party must be replaced in the collaboration, at run-time, by a new party. Ideally, the new party can pick up where the old party left. Currently, algorithms exist that can help with the selection and adaptation of the new party to incorporate it in the collaboration. Also, algorithms exist that can help to pick up a business process where it left off. However, to the best of our knowledge, no algorithms exist that can help a new party in a collaboration to pick up where the old party left off. This paper fills that gap, by providing an overview of the components and operations that are necessary to enable a party in a collaboration to be replaced by another party at run-time. In addition the paper presents two strategies, and the corresponding algorithms, that realize the architecture. As a proof-of-concept, a tool was developed that implements both strategies.",

author = "S. Pourmirza and R.M. Dijkman and P.W.P.J. Grefen",

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note = "18th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2014), EDOC 2014 ; Conference date: 01-09-2014 Through 05-09-2014",

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Pourmirza, S, Dijkman, RM & Grefen, PWPJ 2014, Switching parties in a collaboration at run-time. in M Reichert, S Rinderle-Ma & G Grossmann (eds), Proceedings of the 2014 IEEE 18th International Enterprise Distributed Object Computing Conference (EDOC '14, Ulm, Germany, September 1-5, 2014). Institute of Electrical and Electronics Engineers, Piscataway, pp. 136-141, 18th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2014), Ulm, Germany, 1/09/14. https://doi.org/10.1109/EDOC.2014.27

Switching parties in a collaboration at run-time. / Pourmirza, S.; Dijkman, R.M.; Grefen, P.W.P.J.
Proceedings of the 2014 IEEE 18th International Enterprise Distributed Object Computing Conference (EDOC '14, Ulm, Germany, September 1-5, 2014). ed. / Manfred Reichert; Stefanie Rinderle-Ma; Georg Grossmann. Piscataway: Institute of Electrical and Electronics Engineers, 2014. p. 136-141.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Dijkman, R.M.

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N2 - During the execution of a service collaboration, a party may drop out for technical reasons or business reasons. In that case, that party must be replaced in the collaboration, at run-time, by a new party. Ideally, the new party can pick up where the old party left. Currently, algorithms exist that can help with the selection and adaptation of the new party to incorporate it in the collaboration. Also, algorithms exist that can help to pick up a business process where it left off. However, to the best of our knowledge, no algorithms exist that can help a new party in a collaboration to pick up where the old party left off. This paper fills that gap, by providing an overview of the components and operations that are necessary to enable a party in a collaboration to be replaced by another party at run-time. In addition the paper presents two strategies, and the corresponding algorithms, that realize the architecture. As a proof-of-concept, a tool was developed that implements both strategies.

AB - During the execution of a service collaboration, a party may drop out for technical reasons or business reasons. In that case, that party must be replaced in the collaboration, at run-time, by a new party. Ideally, the new party can pick up where the old party left. Currently, algorithms exist that can help with the selection and adaptation of the new party to incorporate it in the collaboration. Also, algorithms exist that can help to pick up a business process where it left off. However, to the best of our knowledge, no algorithms exist that can help a new party in a collaboration to pick up where the old party left off. This paper fills that gap, by providing an overview of the components and operations that are necessary to enable a party in a collaboration to be replaced by another party at run-time. In addition the paper presents two strategies, and the corresponding algorithms, that realize the architecture. As a proof-of-concept, a tool was developed that implements both strategies.

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BT - Proceedings of the 2014 IEEE 18th International Enterprise Distributed Object Computing Conference (EDOC '14, Ulm, Germany, September 1-5, 2014)

A2 - Reichert, Manfred

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Pourmirza S, Dijkman RM , Grefen PWPJ. Switching parties in a collaboration at run-time. In Reichert M, Rinderle-Ma S, Grossmann G, editors, Proceedings of the 2014 IEEE 18th International Enterprise Distributed Object Computing Conference (EDOC '14, Ulm, Germany, September 1-5, 2014). Piscataway: Institute of Electrical and Electronics Engineers. 2014. p. 136-141 doi: 10.1109/EDOC.2014.27

Switching parties in a collaboration at run-time

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