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Reseach Article

Digital Transformation with Service Oriented Architecture and Performance Considerations

by Ravi Kumar Gedela, Kamakshi Prasad Valurouthu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 6
Year of Publication: 2016
Authors: Ravi Kumar Gedela, Kamakshi Prasad Valurouthu

Ravi Kumar Gedela, Kamakshi Prasad Valurouthu . Digital Transformation with Service Oriented Architecture and Performance Considerations. International Journal of Computer Applications. 146, 6 ( Jul 2016), 37-45. DOI=10.5120/ijca2016910815

@article{ 10.5120/ijca2016910815,
author = { Ravi Kumar Gedela, Kamakshi Prasad Valurouthu },
title = { Digital Transformation with Service Oriented Architecture and Performance Considerations },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 6 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 37-45 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016910815 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:49:43.179943+05:30
%A Ravi Kumar Gedela
%A Kamakshi Prasad Valurouthu
%T Digital Transformation with Service Oriented Architecture and Performance Considerations
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 6
%P 37-45
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Digital transformation is disrupting the banking industry, and Service Oriented Architecture (SOA) is recognized as one of the key enablers. Interestingly, however, performance considerations are quoted by some on the pro side, but others, the con. This paper examines from the what, why and then the how, and specifically, how to accelerating digital transformation with SOA and predictive performance engineering. One of the top agenda items of digital transformation is customer experience. There are three challenges fundamental to legacy transformation and modernization initiatives – a) how to effectively leverage the existing assets in terms of logic and data, b) how we sustain the changes and c) how to ensure the improving customer experience by building high performance applications. The first challenge focuses on integration; second focusses on modernization and the third focusses on predicting and building high performance applications SOA is taking hold in the industry as the preferred new way of integration and modernization. For some banks, the big question remains: Will SOA die out as new technological innovations come out? This is alluding to financial derivatives that led to the financial market crush. One of such innovation is Micro Service proposition. Our research reveals that even sound architecture like SOA can be of hype for some banks unless a roadmap based on engineering principles is established and implemented. This paper reviews some of the failure and success factors across the industry and proposes a template to develop such a roadmap. What differentiates this paper from others is, however, a set of pressures or pain points, technical and business drivers, proven solutions and enablers (SDEP) that the authors summarized from their in-the-field and on-the-project experiences. Also, the authors have outlined the performance modelling exercise using Queuing Petri Nets.

  1. Jason Bloomberg and Ronald Schmelzer, “ Service Orient or Be Doomed”, John Wiley &Sons Inc. 2006.
  2. Gartner Report, , Gartner’s Top Predictions for IT Organizations and Users, 2011 and Beyond: IT’s Growing Transparency, 2011.
  3. Jost Hoppermann, , SOA Is Anything But Dead In Financial Services, Findings From Our 2010 Financial Services Architecture Online Survey, December 2010.
  4. M. Ren and K.J. Lyytinen, “Building Enterprise Architecture Agility and Sustenance through SOA,” Comm. AIS, vol. 22, article 4, 2008;
  5. R. Varadan et al., “Increasing Business Flexibility and SOA Adoption through Effective SOA Governance,” IBM Systems J., vol. 47, no. 3, 2008, pp. 473-490.
  6. A. Arsanjani et al., “SOMA: A Method for Developing Service-Oriented Solutions,” IBM Systems J., vol. 47, no. 3, 2008, pp. 377-396.
  7. S. Khoshafian, Service Oriented Enterprises, Auerbach, 2006.
  8. Richard Welke et al, “Service-Oriented Architecture Maturity”, IEEE, 2011
  9. Kristin R. Moyer et al, “Key Issues for Banking and Investment Services, 2011, Gartner Research, Publicaion Id: G00210761.
  10. Deependra Moitra, & Jai Ganesh, (2005). Web services and flexible business processes: towards the adaptive enterprise. Journal of Information & Management, 42 , 921–933.
  11. Gonc-alo Caˆndido, Jose´ Barata, Armando Walter Colombo, & Franc-ois Jammes, (2009). SOA in reconfigurable supply chains: A research roadmap. Engineering
  12. M. Huhns and M. Singh, “Service-oriented computing: key concepts and principles,” Internet Computing, IEEE, vol. 9, no. 1, pp. 75–81, Jan-Feb 2005.
  13. Z. Mahmood, “The promise and limitations of service oriented architecture,” INTERNATIONAL JOURNAL OF COMPUTERS, vol. 1, no. 3, pp. 74–78, 2007.
  14. N. Bieberstein, S. Bose, M. Fiammante, K. Jones, and R. Shah, Service-Oriented Architecture Compass: Business Value, Planning, and Enterprise Roadmap. Upper Saddle River, NJ, USA: Prentice Hall PTR, 2005.
  15. D. T. Sanders, J. A. Hamilton, Jr., and R. A. MacDonald, “Supporting a service-oriented architecture,” in SpringSim ’08: Proceedings of the 2008 Spring simulation multiconference.San Diego, CA, USA: The Society for Computer Simulation, International, 2008, pp. 325–334.
  16. K. Channabasavaiah, K. Holley, and E. M.Tuggle, “Migrating to a service-oriented architecture,” IBM White paper, 2004,
  17. G. A. Lewis, E. Morris, S. Simanta, and L. Wrage, “Common misconceptions about service-oriented architecture,” Commercial-off-the-Shelf (COTS)-Based Software Systems, International Conference on, vol. 0, pp. 123–130, 2007.
  18. K. Kontogiannis, G. A. Lewis, D. B. Smith, M. Litoiu, H. Muller, S. Schuster, and E. Stroulia, “The landscape of service-oriented systems: A research perspective,” in SDSOA ’07: Proceedings of the International Workshop on Systems Development in SOA Environments. Washington, DC, USA: IEEE Computer Society, 2007, p. 1.
  19. U. Zdun, C. Hentrich, and S. Dustdar, “Modeling processdriven and service-oriented architectures using patterns and pattern primitives,” ACM Trans. Web, vol. 1, no. 3, p. 14, 2007.
  20. Samuel Kounev, Performance Modeling and Evaluation of Distributed Component-Based Systems Using Queueing Petri Nets, IEEE Trans. On Software Engineering., VOL. 32, NO. 7, JULY 2006
Index Terms

Computer Science
Information Sciences


Software Architecture Service Oriented Architecture Data Models Canonical Data transformation Queuing Petri Nets and QoS