Cloud Service Localisation

  • Claus Pahl
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7592)


The essence of cloud computing is the provision of software and hardware services to a range of users in different locations. The aim of cloud service localisation is to facilitate the internationalisation and localisation of cloud services by allowing their adaption to different locales. We address the lingual localisation by providing service-level language translation techniques to adopt services to different languages and regulatory localisation by providing standards-based mappings to achieve regulatory compliance with regionally varying laws, standards and regulations. The aim is to support and enforce the explicit modelling of aspects particularly relevant to localisation and runtime support consisting of tools and middleware services to automating the deployment based on models of locales, driven by the two localisation dimensions. We focus here on an ontology-based conceptual information model that integrates locale specification in a coherent way.


Cloud services Service localisation Service internationalisation Language governance localisation 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    451 Group. Report on Cloud Computing ’As-a-service’ market sizing - Report II (2010)Google Scholar
  2. 2.
    Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., Zaharia, M.: A view of cloud computing. Comm. ACM 53(4), 50–58 (2009)CrossRefGoogle Scholar
  3. 3.
    EU Commission. Report on ”The Future of Cloud Computing” - Opportunities for European Cloud Computing Beyond 2010. EU (2010)Google Scholar
  4. 4.
    Bandara, K.Y., Wang, M.X., Pahl, C.: Context modeling and constraints binding in web service business processes. In: Proceedings of the Workshop on Context-Aware Software Technology and Applications, CASTA, pp. 29–32. ACM Press (2009)Google Scholar
  5. 5.
    Baresi, L., Guinea, S.: Towards Dynamic Monitoring of WS-BPEL Processes. In: Benatallah, B., Casati, F., Traverso, P. (eds.) ICSOC 2005. LNCS, vol. 3826, pp. 269–282. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  6. 6.
    Buyya, R., Broberg, J., Goscinski, A.: Cloud Computing - Principles and Paradigms. Wiley (2011)Google Scholar
  7. 7.
    Doulkeridis, C., Loutas, N., Vazirgiannis, M.: A system architecture for context aware service discovery. ENTCS, 101–116 (2006)Google Scholar
  8. 8.
    Fingar, P.: Cloud computing and the promise of on-demand business innovation. Intelligent Enterprise (2009)Google Scholar
  9. 9.
    Fu, B., Brennan, R., O’Sullivan, D.: Multilingual Ontology Mapping: Challenges and a Proposed Framework. In: Workshop on Matching and Meaning - Automated Development, Evolution and Interpretation of Ontologies (2009)Google Scholar
  10. 10.
    Fujii, K., Suda, T.: Semantics-based context-aware dynamic service composition. ACM Trans. Auton. Adapt. Syst. 4(2), 1–31 (2009)CrossRefGoogle Scholar
  11. 11.
    van Genabith, J.: Metaphors, Logic and Type Theory. Metaphor and Symbol 16(1/2), 43–57 (2001) ISSN 1092-6488CrossRefGoogle Scholar
  12. 12.
    van Genabith, J., Crouch, R.: Dynamic and Underspecified Semantics for LFG. In: Dalrymple, M. (ed.) Semantics and Syntax in Lexical Functional Grammar: The Resource Logic Approach, pp. 209–260. MIT Press (1999)Google Scholar
  13. 13.
    Graham, Y., van Genabith, J.: An Open Source Rule Induction Tool for Transfer-Based SMT. The Prague Bulletin of Mathematical Linguistics, Special Issue: Open Source Tools for Machine Translation 91, 37–46 (2009)Google Scholar
  14. 14.
    Kapitsaki, G., Kateros, D., Prezerakos, G., Venierris, I.: Model-driven development of composite context-aware web applications. Information and Software Technology 51, 1244–1260 (2009)CrossRefGoogle Scholar
  15. 15.
    Karastoyanova, D., Leymann, F.: BPEL’n’Aspects: Adapting service orchestration logic. In: International Conference on Web Services (2009)Google Scholar
  16. 16.
    Kharbili, M.E., Keil, T.: Bringing agility to business process management: Rules deployment in an SOA. In: 6th IEEE European Conference on Web Services (2008)Google Scholar
  17. 17.
    Leusse, P.D., Dimitrakos, T., Brossard, D.: A governance model for SOA. In: IEEE International Conference on Web Services (2009)Google Scholar
  18. 18.
    Mietzner, R., Unger, T., Titze, R., Leymann, F.: Combining different multi-tenancy patterns in service-oriented applications. In: IEEE International Enterprise Distributed Object Computing Conference (2009)Google Scholar
  19. 19.
    Pahl, C., Zhu, Y.: A Semantical Framework for the Orchestration and Choreography of Web Services. In: International Workshop on Web Languages and Formal Methods, WLFM 2005. ENTCS (2005)Google Scholar
  20. 20.
    Pahl, C.: A Formal Composition and Interaction Model for a Web Component Platform. In: Workshop on Formal Methods and Component Interaction, FMCI 2002 (2002)Google Scholar
  21. 21.
    Pahl, C., Giesecke, S., Hasselbring, W.: An Ontology-Based Approach for Modelling Architectural Styles. In: Oquendo, F. (ed.) ECSA 2007. LNCS, vol. 4758, pp. 60–75. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  22. 22.
    Barrett, R., Patcas, L.M., Murphy, J., Pahl, C.: Model Driven Distribution Pattern Design for Dynamic Web Service Compositions. In: International Conference on Web Engineering, ICWE 2006. ACM Press (2006)Google Scholar
  23. 23.
    Pahl, C.: Dynamic Adaptive Service Architecture – Towards Coordinated Service Composition. In: Babar, M.A., Gorton, I. (eds.) ECSA 2010. LNCS, vol. 6285, pp. 472–475. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  24. 24.
    Phillips, A.P.: Web Services and Internationalization. Whitepaper (2005),
  25. 25.
    Rosenberg, F., Dustdar, S.: Business rules integration in BPEL - a service-oriented approach. In: 7th IEEE Intl Conference on E-Commerce Technology (2005)Google Scholar
  26. 26.
    Wang, M.X., Bandara, K.Y., Pahl, C.: Integrated constraint violation handling for dynamic service composition. In: IEEE International Conference on Services Computing (2009)Google Scholar
  27. 27.
    Wang, M.X., Bandara, K.Y., Pahl, C.: Process as a Service - Distributed Multi-tenant Policy-based Process Runtime Governance. In: IEEE International Conference on Services Computing, SCC 2010. IEEE Press (2010)Google Scholar
  28. 28.
    Weigand, H., van den Heuvel, W.-J., Hiel, M.: Rule-based service composition and service-oriented business rule management. In: Interdisciplinary Workshop Regulations Modelling and Deployment (2008)Google Scholar
  29. 29.
    W3C. Web Services Internationalization Usage Scenarios (2005),

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Claus Pahl
    • 1
  1. 1.Center for Next Generation Localisation CNGL and CloudCORE Research Centre, School of ComputingDublin City UniversityDublinIreland

Personalised recommendations