A framework for improving trust in dynamic service-oriented systems

Paul Townend; Colin C. Venters; Lydia Lau; Karim Djemame; Vania Dimitrova; Alison Marshall; Jie Xu; Charlie Dibsdale; Nick Taylor; Jim Austin; John McAvoy; Martyn Fletcher; Stephen Hobson

doi:10.1109/ISORCW.2012.33

A framework for improving trust in dynamic service-oriented systems

Paul Townend, Colin C. Venters, Lydia Lau, Karim Djemame, Vania Dimitrova, Alison Marshall, Jie Xu, Charlie Dibsdale, Nick Taylor, Jim Austin, John McAvoy, Martyn Fletcher, Stephen Hobson

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

5 Citations (Scopus)

Abstract

Large-scale data processing systems frequently require users to make timely and high-value business decisions based upon information that is received from a variety of heterogeneous sources. Such heterogeneity is especially true of service-oriented systems, which are often dynamic in nature and composed of multiple interacting services. However, in order to establish user trust in such systems, there is a need to determine the validity and reliability of all the data sources that go into the making of a decision. This paper analyses the concept of provenance and discusses how the establishment of personalized provenance recording and retrieval systems can be used to increase the utility of data and engender user trust in complex service-based systems. An overview of current provenance research is presented, and a real-world project to address the abstract concepts of trust and data quality in industrial and clinical settings is presented. From this, we conclude that the addition of provenance into data processing and decision making systems can have a tangible benefit to improving the trust of system users.

Original language	English
Title of host publication	Proceedings of the 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW 2012)
Editors	Patrick Kellenberger
Publisher	IEEE
Pages	136-141
Number of pages	6
ISBN (Electronic)	9780769546698
ISBN (Print)	9781467309004
DOIs	https://doi.org/10.1109/ISORCW.2012.33
Publication status	Published - 10 May 2012
Externally published	Yes
Event	IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops - Shenzen, China Duration: 11 Apr 2012 → 11 Apr 2012 Conference number: 15

Conference

Conference	IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops
Abbreviated title	ISORC 2012
Country/Territory	China
City	Shenzen
Period	11/04/12 → 11/04/12

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10.1109/ISORCW.2012.33Licence: Unspecified

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Townend, P., Venters, C. C., Lau, L., Djemame, K., Dimitrova, V., Marshall, A., Xu, J., Dibsdale, C., Taylor, N., Austin, J., McAvoy, J., Fletcher, M., & Hobson, S. (2012). A framework for improving trust in dynamic service-oriented systems. In P. Kellenberger (Ed.), Proceedings of the 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW 2012) (pp. 136-141). [6196115] IEEE. https://doi.org/10.1109/ISORCW.2012.33

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title = "A framework for improving trust in dynamic service-oriented systems",

abstract = "Large-scale data processing systems frequently require users to make timely and high-value business decisions based upon information that is received from a variety of heterogeneous sources. Such heterogeneity is especially true of service-oriented systems, which are often dynamic in nature and composed of multiple interacting services. However, in order to establish user trust in such systems, there is a need to determine the validity and reliability of all the data sources that go into the making of a decision. This paper analyses the concept of provenance and discusses how the establishment of personalized provenance recording and retrieval systems can be used to increase the utility of data and engender user trust in complex service-based systems. An overview of current provenance research is presented, and a real-world project to address the abstract concepts of trust and data quality in industrial and clinical settings is presented. From this, we conclude that the addition of provenance into data processing and decision making systems can have a tangible benefit to improving the trust of system users.",

keywords = "Component, Provenance, Service-oriented computing, Trust",

author = "Paul Townend and Venters, {Colin C.} and Lydia Lau and Karim Djemame and Vania Dimitrova and Alison Marshall and Jie Xu and Charlie Dibsdale and Nick Taylor and Jim Austin and John McAvoy and Martyn Fletcher and Stephen Hobson",

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doi = "10.1109/ISORCW.2012.33",

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editor = "Patrick Kellenberger",

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publisher = "IEEE",

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note = "IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, ISORC 2012 ; Conference date: 11-04-2012 Through 11-04-2012",

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Townend, P, Venters, CC, Lau, L, Djemame, K, Dimitrova, V, Marshall, A, Xu, J, Dibsdale, C, Taylor, N, Austin, J, McAvoy, J, Fletcher, M & Hobson, S 2012, A framework for improving trust in dynamic service-oriented systems. in P Kellenberger (ed.), Proceedings of the 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW 2012)., 6196115, IEEE, pp. 136-141, IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, Shenzen, China, 11/04/12. https://doi.org/10.1109/ISORCW.2012.33

A framework for improving trust in dynamic service-oriented systems. / Townend, Paul; Venters, Colin C.; Lau, Lydia et al.

Proceedings of the 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW 2012). ed. / Patrick Kellenberger. IEEE, 2012. p. 136-141 6196115.

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

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AU - Townend, Paul

AU - Venters, Colin C.

AU - Lau, Lydia

AU - Djemame, Karim

AU - Dimitrova, Vania

AU - Marshall, Alison

AU - Xu, Jie

AU - Dibsdale, Charlie

AU - Taylor, Nick

AU - Austin, Jim

AU - McAvoy, John

AU - Fletcher, Martyn

AU - Hobson, Stephen

N1 - Conference code: 15

PY - 2012/5/10

Y1 - 2012/5/10

N2 - Large-scale data processing systems frequently require users to make timely and high-value business decisions based upon information that is received from a variety of heterogeneous sources. Such heterogeneity is especially true of service-oriented systems, which are often dynamic in nature and composed of multiple interacting services. However, in order to establish user trust in such systems, there is a need to determine the validity and reliability of all the data sources that go into the making of a decision. This paper analyses the concept of provenance and discusses how the establishment of personalized provenance recording and retrieval systems can be used to increase the utility of data and engender user trust in complex service-based systems. An overview of current provenance research is presented, and a real-world project to address the abstract concepts of trust and data quality in industrial and clinical settings is presented. From this, we conclude that the addition of provenance into data processing and decision making systems can have a tangible benefit to improving the trust of system users.

AB - Large-scale data processing systems frequently require users to make timely and high-value business decisions based upon information that is received from a variety of heterogeneous sources. Such heterogeneity is especially true of service-oriented systems, which are often dynamic in nature and composed of multiple interacting services. However, in order to establish user trust in such systems, there is a need to determine the validity and reliability of all the data sources that go into the making of a decision. This paper analyses the concept of provenance and discusses how the establishment of personalized provenance recording and retrieval systems can be used to increase the utility of data and engender user trust in complex service-based systems. An overview of current provenance research is presented, and a real-world project to address the abstract concepts of trust and data quality in industrial and clinical settings is presented. From this, we conclude that the addition of provenance into data processing and decision making systems can have a tangible benefit to improving the trust of system users.

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SN - 9781467309004

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BT - Proceedings of the 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW 2012)

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T2 - IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops

Y2 - 11 April 2012 through 11 April 2012

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Townend P, Venters CC, Lau L, Djemame K, Dimitrova V, Marshall A et al. A framework for improving trust in dynamic service-oriented systems. In Kellenberger P, editor, Proceedings of the 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW 2012). IEEE. 2012. p. 136-141. 6196115 doi: 10.1109/ISORCW.2012.33

A framework for improving trust in dynamic service-oriented systems

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