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Model-based dynamic QoS-driven service composition

Authors:

Antinisca Di Marco,

Antonino SabettaAuthors Info & Claims

QUASOSS '10: Proceedings of the 2nd International Workshop on the Quality of Service-Oriented Software Systems

Article No.: 5, Pages 1 - 6

https://doi.org/10.1145/1858263.1858270

Published: 04 October 2010 Publication History

Abstract

As a consequence of their ever increasing pervasiveness in today's systems, software services are expected to guarantee their QoS even when operating in contexts whose operational conditions may continuously change. To cope with such continuous change, services must evolve in a way that is transparent to the end-user. This can be done by exploiting sophisticated means to reason about Quality of Service (QoS) and to drive service construction in a dynamic and automated fashion. The paper tackles this challenging scenario by proposing a model-based framework, called Smart, that automatically constructs complex services with guaranteed QoS. Smart exploits rich service descriptions (in particular concerning QoS characterizations) to automate the negotiation of Service Level Agreements (SLA) and to realize SLA-driven automated service reconfiguration, when the target QoS cannot be achieved by the current service assembly. Finally, Smart addresses the case in which some services involved in the composition do not support SLA negotiation. In this case, monitoring is used to characterize empirically (as opposed to "contractually") the QoS offered by such non-guaranteed services.

References

[1]

}}A. Bertolino, G. De Angelis, A. Sabetta, and S. G. Elbaum. Scaling up SLA monitoring in pervasive environments. In ESSPE, pages 65--68, 2007.

Digital Library

[2]

}}Todd Biske. SOA Governance. Packt Publishing, 2008.

Digital Library

[3]

}}P. Browne. JBoss Drools Business Rules. Packt Publishing, 2009.

Digital Library

[4]

}}V. Cardellini, E. Casalicchio, V. Grassi, F. Lo Presti, and R. Mirandola. Qos-driven runtime adaptation of service oriented architectures. In ESEC/SIGSOFT FSE, pages 131--140, 2009.

Digital Library

[5]

}}M. B. Chhetri, J. Lin, S. Goh, J. Y. Zhang, R. Kowalczyk, and J. Yan. A coordinated architecture for the agent-based service level agreement negotiation ofweb service composition. In Proceedings of ASWEC, pages 90--99, 2006.

Digital Library

[6]

}}CONNECT Consortium. Connect: Description of Work, 2009.

[7]

}}O. Grumberg and D. E. Long. Model checking and modular verification. ACM Trans. Program. Lang. Syst., 16(3):843--871, 1994.

Digital Library

[8]

}}IST-MUSIC Project. Middleware Support for Self-Adaptation in Ubiquitous and Service-Oriented Environments. http://www.ist-music.eu/.

[9]

}}D. C. Luckham. The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley Longman Publishing Co., Inc., 2001.

Digital Library

[10]

}}H. Ludwig, A. Dan, and R. Kearney. Cremona: An architecture and library for creation and monitoring of WS-agreents. In Proceedings of ICSOC 2004, New York, USA, November 2004, pages 65--74. ACM.

Digital Library

[11]

}}M. Schumacher, H. Helin, and H. Schuldt. CASCOM: Intelligent Service Coordination in the Semantic Web. Birkhäuser Basel, 2008.

Digital Library

[12]

}}SEALAB-QOS Group of University of L'Aquila. MOdel driven conStruction of QUeuIng neTwOrks. http://sealabtools.di.univaq.it/MosquitoHome.html.

[13]

}}J. Skene, D. D. Lamanna, and W. Emmerich. Precise Service Level Agreements. In Proc. of ICSE 2004, pages 179--188. IEEE Computer Society Press, 2004.

Digital Library

[14]

}}P. J. Windley. SOA governance: Rules of the game. on line at http://www.infoworld.com, Jannuary 2006.

[15]

}}T. Yu, Y. Zhang, and K.-J. Lin. Efficient algorithms for web services selection with end-to-end QoS constraints. ACM Trans. Web, 1(1):6, 2007.

Digital Library

[16]

}}F. Zulkernine, P. Martin, C. Craddock, and K. Wilson. A policy-based middleware for web services sla negotiation. In Proceedings of ICWS '09, pages 1043--1050. IEEE Computer Society, 2009.

Digital Library

Cited By

Sagbo KHoungue YDamiani E(2016)SLA Negotiation and Monitoring from Simulation Data2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS.2016.126(766-772)Online publication date: 2016
https://doi.org/10.1109/SITIS.2016.126
Stegaru GDanila CSacala IMoisescu MStanescu A(2015)E-Services quality assessment framework for collaborative networksEnterprise Information Systems10.1080/17517575.2013.8792139:5-6(583-606)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1080/17517575.2013.879213
Stegaru GDanila CSacala IMoisescu MStanescu A(2012)Quality Driven Web Service Composition Modeling FrameworkCollaborative Networks in the Internet of Services10.1007/978-3-642-32775-9_9(87-95)Online publication date: 2012
https://doi.org/10.1007/978-3-642-32775-9_9
Show More Cited By

Index Terms

Model-based dynamic QoS-driven service composition
1. Software and its engineering
  1. Software organization and properties
    1. Software functional properties
      1. Formal methods
        Model checking
    2. Software system structures
      1. Software architectures
2. Theory of computation
  1. Logic
    1. Verification by model checking

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cover image ACM Other conferences

QUASOSS '10: Proceedings of the 2nd International Workshop on the Quality of Service-Oriented Software Systems

October 2010

40 pages

ISBN:9781450302395

DOI:10.1145/1858263

Conference Chairs:
Steffen Becker
University of Paderborn, Germany
,
Jens Happe
SAP Research, Germany
,
Heiko Koziolek
ABB Corporate Research, Germany
,
Paul Pettersson
Mälardalen University, Sweden

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 October 2010

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Seventh Framework Programme

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QUASOSS '10

QUASOSS '10: 2nd International Workshop on the Quality of Service-Oriented Software Systems

October 4, 2010

Oslo, Norway

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Cited By

Sagbo KHoungue YDamiani E(2016)SLA Negotiation and Monitoring from Simulation Data2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS.2016.126(766-772)Online publication date: 2016
https://doi.org/10.1109/SITIS.2016.126
Stegaru GDanila CSacala IMoisescu MStanescu A(2015)E-Services quality assessment framework for collaborative networksEnterprise Information Systems10.1080/17517575.2013.8792139:5-6(583-606)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1080/17517575.2013.879213
Stegaru GDanila CSacala IMoisescu MStanescu A(2012)Quality Driven Web Service Composition Modeling FrameworkCollaborative Networks in the Internet of Services10.1007/978-3-642-32775-9_9(87-95)Online publication date: 2012
https://doi.org/10.1007/978-3-642-32775-9_9
Teka ACondori-Fernandez NSapkota B(2012)A systematic literature review on service description methodsProceedings of the 18th international conference on Requirements Engineering: foundation for software quality10.1007/978-3-642-28714-5_22(239-255)Online publication date: 19-Mar-2012
https://dl.acm.org/doi/10.1007/978-3-642-28714-5_22
Soulimani HCoude PSimoni N(2011)User-centric and QoS-Based Service Session2011 IEEE Asia-Pacific Services Computing Conference10.1109/APSCC.2011.64(267-274)Online publication date: Dec-2011
https://doi.org/10.1109/APSCC.2011.64
Koziolek HBecker SHappe JPettersson P(2010)Quality of service-oriented software systems (QUASOSS 2010)Proceedings of the 2010 international conference on Models in software engineering10.5555/2008503.2008551(364-368)Online publication date: 3-Oct-2010
https://dl.acm.org/doi/10.5555/2008503.2008551

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