Model Driven Modernization and Cloud Migration Framework with Smart Use Case

  • Khadija Sabiri
  • Faouzia Benabbou
  • Adil Khammal
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 37)


With the fast evolving cloud market, many enterprises have attempted to move their legacy application in this new environment to take its full advantage. However, this move is strongly associated with the fact of packaging the legacy application in an image or in a container encapsulated into a virtual machine and deployed in a single instance.

So, the need of making the legacy application more agile and flexible is becoming a must on moving to a cloud environment, yet to fully benefit from it. It is important to change the architecture of the legacy application before deploying it in a cloud environment. In consequence, there is a need for an approach that assure two important things: how the architecture of legacy application has to be changed to transform it into a cloud native application architecture and then to be deployed it in a cloud environment.

In this work, we propose a modernization iterative and incremental process to overcome the listed issues above. This process is based on the concept of smart use case combining with the architecture driven modernization (ADM) approach. The last consists on followed the steps: Reverse Engineering, Transformation/Upgrade, and Forward Engineering. This process aims to not only raise the IT agility, but moreover its business agility.


Cloud computing ADM Smart use case Native cloud application Legacy application 


  1. 1.
    Zhao, J.F., Zhou, J.T.: Strategies and methods for cloud migration. Int. J. Autom. Comput. 11(2), 143–152 (2014). MathSciNetCrossRefGoogle Scholar
  2. 2.
    Fehling, C., Leymann, F., Ruehl, S.T., Rudek, M., Verclas, S.: Service migration patterns decision support and best practices for the migration of existing service-based applications to cloud environments. In: Proceedings of the 6th IEEE International Conference on Service Oriented Computing and Applications (SOCA) (2013)Google Scholar
  3. 3.
    Fehling, C., Konrad, R., Leymann, F., Mietzner, R., Pauly, M., Schumm, D.: Flexible process-based applications in hybrid clouds. In: Proceedings of the 2011 IEEE International Conference on Cloud Computing (CLOUD) (2011)Google Scholar
  4. 4.
    Sabiri, K., Benabbou, F., Hain, M., Moutachouik, H., Akodadi, K.: A survey of cloud migration methods: a comparaison and proposition. IJACSA 7(5), 598–604 (2016). CrossRefGoogle Scholar
  5. 5.
    Buyya, R., Yeo, C.S., Venugopal, S.: Market-oriented cloud computing: vision, hype, and reality for delivering it services as computing utilities. In: Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, Dalian, pp. 5–13. IEEE (2008)Google Scholar
  6. 6.
    Low, L.C.Y., Chen, Y., Wu, M.C.: Understanding the determinants of Cloud computing adoption. Ind. Manag. Data Syst. 111, 1006–1023 (2008)CrossRefGoogle Scholar
  7. 7.
    Watson, P., Lord, P., Gibson, F., Periorellis, P., Pitsilis, G.: Cloud computing for e-science with Carmen. In: Proceedings of the 2nd Iberian Grid Infrastructure Conference, Porto, Portugal, pp. 3–14 (2008)Google Scholar
  8. 8.
    Baiardi, F., Sgandurra, D.: Securing a community cloud. In: IEEE 30th International Conference on Distributed Computing Systems Workshops, pp. 32–41. IEEE Computer Society (2010)Google Scholar
  9. 9.
    Barbacci, M.R., et al.: Quality Attribute Workshops (QAWs), Technical report CMU/SEI-2003-TR-016, SEI, Carnegie Mellon University, USA (2003)Google Scholar
  10. 10.
    OMG ADM Force Task: Why do we need standards for the modernization of existing systems? (2012).
  11. 11.
    Perez-Castillo, R., de Guzman, I.G.-R., Avila-Garcia, O., Piattini, M.: On the use of ADM to contextualize data on legacy source code for software modernization. In: Proceedings of the 2009 16th Working Conference on Reverse Engineering, WCRE 2009, pp. 128–132. IEEE Computer Society, Washington, D.C. (2009)Google Scholar
  12. 12.
    Ulrich, W.M., Newcomb, P.: Information Systems Transformation: Architecture-Driven Modernization Case Studies. Morgan Kaufmann Publishers Inc., San Francisco (2010)Google Scholar
  13. 13.
    OMG Object Management Group (OMG) architecture-driven modernisationGoogle Scholar
  14. 14.
    Mell, P., Grace, T.: The NIST Definition of Cloud Computing. National Institute of Standards and Technology (NIST), Gaithersburg (2011)CrossRefGoogle Scholar
  15. 15.
    Fehling, C., Leymann, F., Retter, R., Schupeck, W., Arbitter, P.: Cloud Computing Patterns: Fundamentals to Design, Build, and Manage Cloud Applications. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  16. 16.
    Stine, M.: Migrating to Cloud-Native Application Architectures. O’Reilly Media Inc., Sebastopol (2015)Google Scholar
  17. 17.
    Hoogendoorn, S., (Capgemini): Pragmatic model driven development using smart use cases and domain driven design, 7 April 2009Google Scholar
  18. 18.
  19. 19.
    Hamdaqa, M., Livogiannis, T., Tahvildari, L.: A reference model for developing cloud applications. In: Proceedings of the 1st International Conference on Cloud Computing and Services Science, CLOSER 2011, pp. 98–103 (2011).
  20. 20.
    Sabiri, K., Benabbou, F., Moutachaouik, H., Hain, M.: Towards a cloud migration framework. In: Third World Conference on Complex Systems (WCCS) (2015).
  21. 21.
    Frey, S., Hasselbring, W.: Model-based migration of legacy software systems to scalable and resource-efficient cloud-based applications: the CloudMIG approach. In: The First International Conference on Cloud Computing, GRIDs, and Virtualization, CLOUD COMPUTING 2010 (2010)Google Scholar
  22. 22.
    Parastoo, M., Berre, A.J., Henry, A., Barbier, F., Sadovykh, A.: REMICS-REuse and migration of legacy applications to interoperable cloud services. In: Third European Conference, ServiceWave, pp. 195–196 (2010)Google Scholar
  23. 23.
    Menychtas, A., Santzaridou, C., Echevarria, L.O., Alonso, J.: ARTIST methodology and framework: a novel approach for the migration of legacy software on the cloud. In: 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2013)Google Scholar
  24. 24.
    Zhang, W.Q., Berre, A.J., Roman, D., Huru, H.A.: Migrating legacy applications to the service Cloud. In: 14th Conference Companion on Object Oriented Programming Systems Languages and Applications (2009)Google Scholar
  25. 25.
    Beslic, A., Bendraou, R., Sopena, J., Rigolet, J.-Y.: Towards a solution avoiding vendor lock-in to enable migration between cloud platforms. In: 2nd International Workshop on Model-Driven Engineering for High Performance and Cloud computing (MDHPCL) (2013)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Information Technology and Modeling LaboratoryScience Faculty of Ben M’sikCasablancaMorocco

Personalised recommendations