Skip to main content
SpringerLink
Log in

A proposed novel enterprise cloud development application model

  • Regular Research Paper
  • Published:
Memetic Computing Aims and scope Submit manuscript

Abstract

Currently, there is limited guidance on generic cloud software architecture model for designing and building cloud applications and each platform provider has different standards that influences the way applications are developed and written. In this paper we propose a cloud application development model based on developing services (typically REST API services). We see clear benefits in applying this model to service oriented architecture (SOA) and business process management (BPM) design in order to develop enterprise applications for cloud environments in a systematic, rapid manner. This conceptual model described in this paper is drawn from the core ideas and practices behind REST API, BPM, and SOA. In this paper we focus on the proposed software development model for enterprise cloud applications and services. Throughout this paper we use the term cloud application and cloud service interchangeably. The model described in this paper can be applied to both. Further research on a software-modeling tool that provides a standardized structure for cloud software development and deployment seems to be in order. Supported by a graphical modeling environment, such a tool would utilize a Cloud Resource Provisioning language, will be able to seamlessly deploy and provision cloud resources across multiple cloud service providers. The presented research provides a practical and extensible application development model for cloud platforms. The model described can be used in a variety of applications as well as migration of legacy code to cloud platforms. By using this model, a cloud application can be deployed as small functionally separate components to different cloud nodes. Resource allocation can be defined for these nodes on a per need basis, which minimizes the cost of acquiring a fail over and load balanced system compared to the traditional on premise application development. In this paper, a detailed description of the analysis and development steps of the proposed model is also presented.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Mell P, Grance T (2011) The NIST definition of cloud computing. Special Publication, 800-145. National Institute of Standards and Technology

  2. Rummler GA, Brache AP (1995) Improving performance, how to manage the white space on the organization chart. Jossey-Bass, SanFrancisco

    Google Scholar 

  3. Wu J, Wang T (2014) Research and application of SOA and cloud computing model. 2014 Enterprise systems conference, pp 294–299

  4. Tsai W, Sun X, Balasooriya J (2010) Service-oriented cloud computing architecture. Seventh international conference on information technology

  5. Erl T (2006) Service-oriented architecture concepts, technology, and design. Pearson Education Inc., Boston

    Google Scholar 

  6. Jiang J, Le J, Wang Y, Sun J, He F (2011) The BPM architecture based on cloud computing. Knowledge acquisition and modeling (KAM), 2011 Fourth international symposium, IEEE Xplore

  7. Mircea M (2010) SOA, BPM and cloud computing: connected for innovation in higher education. International conference on education and management technology (ICEMT 2010)

  8. Hamdaqa M, Livogiannis T, Tahvildari L (2011) A reference model for developing cloud applications. In: Proceedings of the 1st international conference on cloud computing and services science, pp 98–103

  9. Murer S, Hagen C (2014) Fifteen years of Service-Oriented Architecture at Credit Suisse. IEEE Softw 31(06):9–15

    Article  Google Scholar 

  10. Han Y, Sun J, Wang G, Li H (2010) A cloud-based BPM architecture with user-end distribution of non-compute-intensive activities and sensitive data. J Comput Sci Technol 25(6):1157–1167

    Article  Google Scholar 

  11. Azeez A, Perera S, Gamage D, Linton R, Siriwardana P, Leelaratne D, Weerawarana S, Fremantle P (2010) Multi-tenant SOA middleware for cloud computing. 2010 IEEE 3rd international conference on cloud computing

  12. Kundra V (2011) Federal cloud computing strategy. U.S. Chief Information Officer

  13. Ardagna D, Nitto ED, Casale G, Petcu D, Mohagheghi P, Mosser S, Matthews P, Gericke A, Ballagny C, D’Andria F, Siemens CS N, Sheridan C (2012) MODACLOUDS: a model-driven approach for the design. In: Proceedings of the 4th international workshop on modeling in software engineering

  14. Schulte S, Janiesch C, Venugopal S, Weber I, Hoenisch P (2014) Elastic business process management: state of the art and open challenges for BPM in the cloud. In: Future generation computer systems, Elsevier, September 2014

  15. Mohameda M, Amziania M, Belaïd D, Tata S, Melliti T (2014) An autonomic approach to manage elasticity of business processes in the Cloud. In: Future generation computer systems, ScienceDirect

  16. Matthews C, Neville S, Coady Y, McAffer J, Bull I (2009) Overcast: eclipsing high profile open source cloud initiatives. Selected papers from workshops on cloud computing at OOPSLA09. Orlando, USA

  17. Berners-Lee T, Fielding R, Masinter L (2005) Uniform resource identifier (URI): generic syntax. IETF RFC 3986

  18. Martin RC (2002) The single responsibility principle. The principles, patterns, and practices of Agile Software Development, pp 149–154

  19. Scheer A-W (1994) Business process engineering: reference models for industrial enterprises, 2nd edn. Springer, Berlin, Heidelberg

    Book  MATH  Google Scholar 

  20. Ko RKL (2009) A computer scientist’s introductory guide to business process management (BPM). Crossroads vol 15, no 4. ACM, New York

Download references

Author information

Authors and Affiliations

  1. Athabasca University, Athabasca, Canada

    Behzad Karim & Qing Tan

  2. King Abdulaziz University, Jeddah, Saudi Arabia

    Ibrahim El Emary

  3. Jeddah University, Jeddah, Saudi Arabia

    Bader A. Alyoubi

  4. University of Zaragoza, Zaragoza, Spain

    Rebeca Soler Costa

Authors
  1. Behzad Karim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qing Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ibrahim El Emary
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Bader A. Alyoubi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Rebeca Soler Costa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qing Tan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Karim, B., Tan, Q., El Emary, I. et al. A proposed novel enterprise cloud development application model. Memetic Comp. 8, 287–306 (2016). https://doi.org/10.1007/s12293-016-0203-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12293-016-0203-4

Keywords

Search

Navigation