An approach to the decomposition of business processes for execution in the cloud

Lucas Venezian Povoa; Wanderley Lopes de Souza; Luis Ferreira Pires; Antonio Francisco do Prado

doi:10.1109/AICCSA.2014.7073236

An approach to the decomposition of business processes for execution in the cloud

Lucas Venezian Povoa, Wanderley Lopes de Souza, Luis Ferreira Pires, Antonio Francisco do Prado

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

14 Citations (Scopus)

14 Downloads (Pure)

Abstract

Although Business Process Management has emerged as a means to manage and improve business processes, it may require high costs due to the need for software, hardware and technical support. Cloud Computing can help achieve efficient business processes with lower costs, since it provides a fast and cheap way to acquire computing resources in a pay-per- use manner. However, due to safety requirements, certain data or activities of a business process should be kept within the user premises, while others can be allocated to a cloud. This paper presents an approach to decomposition of business processes, which preserves the data constraints, and demonstrates its use through a case study in the healthcare domain.

Original language	Undefined
Title of host publication	11th ACS/IEEE International Conference on Computer Systems and Applications, AICSSA 2014
Publisher	IEEE
Pages	470-477
Number of pages	8
ISBN (Print)	978-1-4799-7100-8
DOIs	https://doi.org/10.1109/AICCSA.2014.7073236
Publication status	Published - 2014
Event	11th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2014 - Doha, Qatar Duration: 10 Nov 2014 → 13 Nov 2014 Conference number: 11 http://www.aiccsa.net/AICCSA%202014%20Website/index.html

Publication series

Name
Publisher	IEEE eXpress Conference Publishing
Volume	IEEE Catal

Conference

Conference	11th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2014
Abbreviated title	AICCSA
Country/Territory	Qatar
City	Doha
Period	10/11/14 → 13/11/14
Internet address	http://www.aiccsa.net/AICCSA%202014%20Website/index.html

Keywords

EWI-25696
METIS-309878
IR-94195

Access to Document

10.1109/AICCSA.2014.7073236

http://eprints.eemcs.utwente.nl/secure2/25696/01/lvp-aiccsa-20140915-lfp-camera-ready.pdf

Cite this

@inproceedings{6c08d90eb26b4422a326b65232eb57c1,

title = "An approach to the decomposition of business processes for execution in the cloud",

abstract = "Although Business Process Management has emerged as a means to manage and improve business processes, it may require high costs due to the need for software, hardware and technical support. Cloud Computing can help achieve efficient business processes with lower costs, since it provides a fast and cheap way to acquire computing resources in a pay-per- use manner. However, due to safety requirements, certain data or activities of a business process should be kept within the user premises, while others can be allocated to a cloud. This paper presents an approach to decomposition of business processes, which preserves the data constraints, and demonstrates its use through a case study in the healthcare domain.",

keywords = "EWI-25696, METIS-309878, IR-94195",

author = "{Venezian Povoa}, Lucas and {Lopes de Souza}, Wanderley and {Ferreira Pires}, Luis and {do Prado}, {Antonio Francisco}",

note = "eemcs-eprint-25696 ; 11th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2014 ; Conference date: 10-11-2014 Through 13-11-2014",

year = "2014",

doi = "10.1109/AICCSA.2014.7073236",

language = "Undefined",

isbn = "978-1-4799-7100-8",

publisher = "IEEE",

pages = "470--477",

booktitle = "11th ACS/IEEE International Conference on Computer Systems and Applications, AICSSA 2014",

address = "United States",

url = "http://www.aiccsa.net/AICCSA%202014%20Website/index.html",

}

Venezian Povoa, L, Lopes de Souza, W , Ferreira Pires, L & do Prado, AF 2014, An approach to the decomposition of business processes for execution in the cloud. in 11th ACS/IEEE International Conference on Computer Systems and Applications, AICSSA 2014. IEEE, pp. 470-477, 11th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2014, Doha, Qatar, 10/11/14. https://doi.org/10.1109/AICCSA.2014.7073236

An approach to the decomposition of business processes for execution in the cloud. / Venezian Povoa, Lucas; Lopes de Souza, Wanderley ; Ferreira Pires, Luis et al.
11th ACS/IEEE International Conference on Computer Systems and Applications, AICSSA 2014. IEEE, 2014. p. 470-477.

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

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N1 - Conference code: 11

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N2 - Although Business Process Management has emerged as a means to manage and improve business processes, it may require high costs due to the need for software, hardware and technical support. Cloud Computing can help achieve efficient business processes with lower costs, since it provides a fast and cheap way to acquire computing resources in a pay-per- use manner. However, due to safety requirements, certain data or activities of a business process should be kept within the user premises, while others can be allocated to a cloud. This paper presents an approach to decomposition of business processes, which preserves the data constraints, and demonstrates its use through a case study in the healthcare domain.

AB - Although Business Process Management has emerged as a means to manage and improve business processes, it may require high costs due to the need for software, hardware and technical support. Cloud Computing can help achieve efficient business processes with lower costs, since it provides a fast and cheap way to acquire computing resources in a pay-per- use manner. However, due to safety requirements, certain data or activities of a business process should be kept within the user premises, while others can be allocated to a cloud. This paper presents an approach to decomposition of business processes, which preserves the data constraints, and demonstrates its use through a case study in the healthcare domain.

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