Skip to main content
SpringerLink
Log in

Availability and Scalability Optimized Microservice Discovery from Enterprise Systems

  • Conference paper
  • First Online:
On the Move to Meaningful Internet Systems: OTM 2019 Conferences (OTM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11877))

Abstract

Microservices have been introduced to industry as a novel architectural design for software development in cloud-based applications. This development has increased interest in finding new methodologies to migrate existing enterprise systems into microservices to achieve desirable performance characteristics such as high scalability, high availability, high cohesion and low coupling. A key challenge in this context is discovering microserviceable components with promising characteristics from a complex monolithic code base while predicting their resulting characteristics. This paper presents a technique to support such re-engineering of an enterprise system based on the fundamental mechanisms for structuring its architecture, i.e., business objects managed by software functions and their interactions. The technique relies on queuing theory and business object relationship analysis. A prototype for microservice discovery and characteristic analysis was developed using the NSGA II software clustering and optimization technique and has been validated against two open-source enterprise systems, SugarCRM and ChurchCRM. Our experiments demonstrate that the proposed approach can recommend microservice design which improves scalability, availability and execution efficiency of the system while achieving high cohesion and low coupling in software modules.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.sugarcrm.com/.

  2. 2.

    http://churchcrm.io/.

  3. 3.

    https://github.com/AnuruddhaDeAlwis/NSGAIIFOROptimization.git.

  4. 4.

    http://support.sugarcrm.com/Documentation/Sugar_Versions/8.0/Pro/Application_Guide/.

  5. 5.

    https://github.com/AnuruddhaDeAlwis/XESConvertor.git.

  6. 6.

    https://fluxicon.com/disco/.

  7. 7.

    https://www.seleniumhq.org/.

References

  1. Newman, S.: Building Microservices: Designing Fine-Grained Systems. O’Reilly Media Inc., Sebastopol (2015)

    Google Scholar 

  2. Internet Of Things (IoT) Intelligence Update. https://www.forbes.com/sites/louiscolumbus/2017/11/12/2017-internet-of-things-iot-intelligence-update/#43aa6f4c7f31. Accessed 5 May 2018

  3. Magal, S.R., Word, J.: Integrated Business Processes with ERP Systems, 1st edn. Wiley Publishing, Hoboken (2011)

    Google Scholar 

  4. Anquetil, N., Laval, J.: Legacy software restructuring: analyzing a concrete case. In: 15th European Conference on Software Maintenance and Reengineering (CSMR), pp. 279–286 (2011)

    Google Scholar 

  5. Candela, I., Bavota, G., Russo, B., Oliveto, R.: Using cohesion and coupling for software remodularization: is it enough? ACM Trans. Softw. Eng. Methodol. (TOSEM) 25(3), 24 (2016)

    Article  Google Scholar 

  6. Shatnawi, A., Seriai, A.D., Sahraoui, H., Alshara, Z.: Reverse engineering reusable software components from object-oriented APIs. J. Syst. Soft. 131, 442–460 (2017)

    Article  Google Scholar 

  7. Balalaie, A., Heydarnoori, A., Jamshidi, P.: Migrating to cloud-native architectures using microservices: an experience report. In: Celesti, A., Leitner, P. (eds.) ESOCC Workshops 2015. CCIS, vol. 567, pp. 201–215. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-33313-7_15

    Chapter  Google Scholar 

  8. Microservices a definition of this new architectural term. https://martinfowler.com/articles/microservices.html. Accessed 3 May 2018

  9. Evans, E.: Domain-Driven Design: Tackling Complexity in the Heart of Software, 1st edn. Addison-Wesley Professional, Hoboken (2003)

    Google Scholar 

  10. Nooijen, E.H.J., van Dongen, B.F., Fahland, D.: Automatic discovery of data-centric and artifact-centric processes. In: La Rosa, M., Soffer, P. (eds.) BPM 2012. LNBIP, vol. 132, pp. 316–327. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-36285-9_36

    Chapter  Google Scholar 

  11. Lu, X., Nagelkerke, M., van de Wiel, D., Fahland, D.: Discovering interacting artifacts from ERP systems. IEEE Trans. Serv. Comput. 8(6), 861–873 (2015)

    Article  Google Scholar 

  12. Wei, F., Ouyang, C., Barros, A.: Discovering behavioural interfaces for overloaded web services. In: 2015 IEEE World Congress on Services (SERVICES), pp. 286–293 (2015)

    Google Scholar 

  13. PrinciplesOfOod. http://www.butunclebob.com/ArticleS.UncleBob. Accessed 7 May 2018

  14. De Alwis, A.A.C., Barros, A., Fidge, C., Polyvyanyy, A.: Discovering microservices in enterprise systems using a business object containment heuristic. In: Panetto, H., et al. (eds.) OTM 2018. LNCS, vol. 11230. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-02671-4_4

    Chapter  Google Scholar 

  15. De Alwis, A.A.C., Barros, A., Polyvyanyy, A., Fidge, C.: Function-splitting heuristics for discovery of microservices in enterprise systems. In: Pahl, C., Vukovic, M., Yin, J., Yu, Q. (eds.) ICSOC 2018. LNCS, vol. 11236, pp. 37–53. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-03596-9_3

    Chapter  Google Scholar 

  16. Salah, K., Calyam, P., Boutaba, R.: Analytical model for elastic scaling of cloud-based firewalls. Trans. Netw. Serv. Manage. 14(1), 136–146 (2017)

    Article  Google Scholar 

  17. Klock, S., Van Der Werf, J.M.E., Guelen, J.P., Jansen, S.: Workload-based clustering of coherent feature sets in microservice architectures. In: 2017 IEEE International Conference on Software Architecture (ICSA), pp. 11–20. IEEE (2017)

    Google Scholar 

  18. Patidar, K., Gupta, R., Chandel, G.S.: Coupling and cohesion measures in object oriented programming. Int. J. Adv. Res. Comput. Sci. Soft. Eng. (2013)

    Google Scholar 

  19. Bauer, E., Adams, R.: Reliability and Availability of Cloud Computing. Wiley, Hoboken (2012)

    Book  Google Scholar 

  20. Bailis, P., Venkataraman, S., Franklin, M.J., Hellerstein, J.M., Stoica, I.: Quantifying eventual consistency with PBS. VLDB J. 23(2), 279–302 (2014)

    Article  Google Scholar 

  21. Khazaei, H., Barna, C., Beigi-Mohammadi, N., Litoiu, M.: Efficiency analysis of provisioning microservices. In: IEEE International Conference on Cloud Computing Technology and Science, pp. 261–268. IEEE (2016)

    Google Scholar 

  22. Levy, R., Nagarajarao, J., Pacifici, G., Spreitzer, M., Tantawi, A., Youssef, A.: Performance management for cluster based web services. In: Goldszmidt, G., Schönwälder, J. (eds.) Integrated Network Management VIII. ITIFIP, vol. 118, pp. 247–261. Springer, Boston, MA (2003). https://doi.org/10.1007/978-0-387-35674-7_29

    Chapter  Google Scholar 

  23. Amaral, M., Polo, J., Carrera, D., Mohomed, I., Unuvar, M., Steinder, M.: Performance evaluation of microservices architectures using containers. In: Network Computing and Applications (NCA), pp. 27–34. IEEE (2015)

    Google Scholar 

  24. Felter, W., Ferreira, A., Rajamony, R., Rubio, J.: An updated performance comparison of virtual machines and Linux containers. In: Performance Analysis of Systems and Software, pp. 171–172. IEEE (2015)

    Google Scholar 

  25. Huber, N., von Quast, M., Hauck, M., Kounev, S.: Evaluating and modeling virtualization performance overhead for cloud environments. In: CLOSER, pp. 563–573 (2011)

    Google Scholar 

  26. Lehrig, S., Eikerling, H., Becker, S.: Scalability, elasticity, and efficiency in cloud computing: a systematic literature review of definitions and metrics. In: Proceedings of the 11th International ACM SIGSOFT Conference on Quality of Software Architectures, pp. 83–92. ACM (2015)

    Google Scholar 

  27. Herbst, N.R., Kounev, S., Reussner, R.H.: Elasticity in cloud computing: what it is, and what it is not. In: ICAC, pp. 23–27 (2013)

    Google Scholar 

  28. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.A.M.T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)

    Article  Google Scholar 

  29. Estrada, Z.J., Stephens, Z., Pham, C., Kalbarczyk, Z., Iyer, R.K.: A performance evaluation of sequence alignment software in virtualized environments. In: Cluster, Cloud and Grid Computing (CCGrid), pp. 730–737. IEEE (2014)

    Google Scholar 

  30. Tsai, W.T., Huang, Y., Shao, Q.: Testing the scalability of SaaS applications. In: IEEE International Conference on Service-Oriented Computing and Applications (SOCA), pp. 1–4 (2011)

    Google Scholar 

  31. Bauer, E., Adams, R.: Reliability and Availability of Cloud Computing, 1st edn. Wiley, Hoboken (2012)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Queensland University of Technology, Brisbane, Australia

    Adambarage Anuruddha Chathuranga De Alwis, Alistair Barros & Colin Fidge

  2. The University of Melbourne, Parkville, VIC, 3010, Australia

    Artem Polyvyanyy

Authors
  1. Adambarage Anuruddha Chathuranga De Alwis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alistair Barros
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Colin Fidge
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Artem Polyvyanyy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Adambarage Anuruddha Chathuranga De Alwis .

Editor information

Editors and Affiliations

  1. University of Lorraine, Vandoeuvre Les Nancy Cedex, France

    Hervé Panetto

  2. Trinity College Dublin, Dublin, Ireland

    Christophe Debruyne

  3. Universität der Bundeswehr München, Munich, Germany

    Martin Hepp

  4. Trinity College Dublin, Dublin, Ireland

    Dave Lewis

  5. Università degli Studi di Milano Crema, Crema, Italy

    Claudio Agostino Ardagna

  6. TU Graz, Graz, Austria

    Robert Meersman

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

De Alwis, A.A.C., Barros, A., Fidge, C., Polyvyanyy, A. (2019). Availability and Scalability Optimized Microservice Discovery from Enterprise Systems. In: Panetto, H., Debruyne, C., Hepp, M., Lewis, D., Ardagna, C., Meersman, R. (eds) On the Move to Meaningful Internet Systems: OTM 2019 Conferences. OTM 2019. Lecture Notes in Computer Science(), vol 11877. Springer, Cham. https://doi.org/10.1007/978-3-030-33246-4_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-33246-4_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33245-7

  • Online ISBN: 978-3-030-33246-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation