Cloud Suitability Assessment Method for Application Software

Mesfin Workineh, Nuno M. Garcia, Dida Midekso

2017

Abstract

The advantages and initial adoption success stories of the Cloud computing inspire enterprises to migrate their existing applications to the Cloud computing technology. As a result, the trend of migrating existing application software to the Cloud grows steadily. However, not all applications are ideal candidates to be ported. Moreover, very often client organizations do not have the appropriate methods to determine which of their IT services are appropriate for migration. In this respect, a method is required to assess the suitability of the existing applications before embarking on migration. This study designs a method to assess Cloud suitability of exiting application software following the design science approach. The method is a multi-step approach composed of seven activities, devised with the goal of reducing the risk of making wrong migration decisions. Further research will be used to validate and refine the proposed method.

References

  1. Abduljalil, S.M., Hegazy, O., Ammar, H.H., 2012. Evaluation of Architecture Styles for Cloud Computing Applications. Int. J. Rev. Compt. 11, 1-11.
  2. Andrikopoulos, V., Darsow, A., Karastoyanova, D., Leymann, F., 2014. CloudDSF - The Cloud Decision Support Framework for Application Migration, in: International Federation for Information Processing. Presented at the ESOCC 2014, pp. 1-16.
  3. Andrikopoulos, V., Strauch, S., Leymann, F., 2013. Decision Support for Application Migration to the Cloud: Challenges and Vision, in: CLOSER 2013. Presented at the 3rd International Conference on Cloud Computing and Services Science, pp. 149-155.
  4. Banerjee, J., 2012. Moving to the Cloud: Workload Migration Techniques and Approaches, in: In High Performance Computing (HiPC). Presented at the 19 th International conference on, IEEE, pp. 1-6.
  5. Banerjee, J., Mohapatra, B., 2013. An Approach to CostEffective Transformation of Workloads towards Cloud Delivery Models. Int. J. Comput. Appl. 82, 47-53.
  6. Beserra, P.V., Camara, A., Ximenes, R., Albuquerque, A.B., Mendonça, N.C., 2012. Cloudstep: A step-bystep decision process to support legacy application migration to the cloud, in: Maintenance and Evolution of Service-Oriented and Cloud-Based Systems. Presented at the 2012 IEEE 6th International Workshop, IEEE, pp. 7-16.
  7. Binz, T., Leymann, F., Schumm, D., 2011. CMotion: A Framework for Migration of Applications into and between Clouds, in: 2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA).IEEE Computer Society, pp.1-4.
  8. Böhm, M., Leimeister, S., Riedl, C., Krcmar, H., 2010. Cloud computing and computing evolution.
  9. Chantry, D., 2009. Mapping Applications to the Cloud. TechEd Spec. Ed. 19, 1-9.
  10. Deb, B., 2010. Assess enterprise applications for cloud migration Using the Analytic Hierarchy Process to evaluate apps for the cloud.
  11. Frey, S., Hasselbring, W., 2011. The CloudMIG Approach: Model-Based Migration of Software Systems to Cloud-Optimized Applications. Int. J. Adv. Softw. 4, 342-353.
  12. Frey, S., Hasselbring, W., Schnoor, B., 2013. Automatic conformance checking for migrating software systems to cloud infrastructures and platforms. J. Softw. Maint. Evol. Res. Pract. 25, 1089-1115.
  13. Garg, S.K., Versteeg, S., Buyya, R., 2011. SMICloud: A Framework for Comparing and Ranking Cloud Services, in: Fourth IEEE International Conference. Presented at the Utility and Cloud Computing, IEEE Computer Society, pp. 201-218.
  14. Hevner, A.R., 2007. A Three Cycle View of Design Science Research. Scand. J. Inf. Syst. 19, 87-92.
  15. Hevner, A.R., March, S.T., Park, J., Ram, S., 2004. Design Science In Information Systems Research. MIS Q. 28, 75-105.
  16. Ishizaka, A., Pearman, C., Nemery, P., 2013. AHPSort: an AHP based method for sorting problems. Int. J. Prod. Res. doi:DOI: 10.1080/00207543.2012.657966.
  17. Jamshidi, P., Ahmad, A., Pahl, C., 2013. Cloud Migration Research: A Systematic Review. IEEE Trans. Cloud Comput. 1, 142-157.
  18. Juan-Verdejo, A., 2012. Assisted migration of enterprise applications to the Cloud-A hybrid Cloud approach, in: Tagungsband Des 4. Workshops. Presented at the Business Intelligence, pp. 14-27.
  19. Juan-Verdejo, A., Baars, H., 2013. Decision support for partially moving applications to the cloud: the example of business intelligence, in: Proceedings of the 2013 International Workshop on Hot Topics in Cloud Services. ACM, pp. 35-42.
  20. Juan-Verdejo, A., Zschaler, S., Surajbali, B., Baars, H., Kemper, H.-G., 2014. InCLOUDer: A formalised decision support modelling approach to migrate applications to cloud environments, in: 2014 40th EUROMICRO Conference Software Engineering and Advanced Applications. IEEE, pp. 467-474.
  21. Kaisler, S., Money, W.H., Cohen, S.J., 2012. A Decision Framework for Cloud Computing. Presented at the 45th Hawaii International Conference on System Sciences.
  22. Khajeh-Hosseini, A., Greenwood, D., W.Smith, J., Sommerville, I., 2012. The cloud adoption toolkit: supporting cloud adoption decisions in the enterprise. Softw. Pract. Exp. 42, 447-465.
  23. Kishore, M.S.N., Jayakumar, S.K.V., Reddy, G.S., Dhavachelvan, P., Chandramohan, D., Reddy, N.P.S., 2011. Web Service Suitability Assessment for Cloud Computing. Presented at the LNCS-Springer, Springer, Verlag Berlin Heidelberg, pp. 622-632.
  24. Lantana Consulting Group, 2011. Quality Reporting Data Architecture Suitability Analysis.
  25. Loebbecke, C., Thomas, B., Ullrich, T., 2012. Assessing Cloud Readiness at Continental AG. MIS Quarterly Executive 11, 11-23.
  26. Menzel, M., Ranjan, R., 2012. CloudGenius: Decision Support for Web Server Cloud Migration, in: 21st International Conference on World Wide Web. ACM, pp. 979-988.
  27. Menzel, M., Schönherr, M., Tai, S., 2013. (MC2)2: criteria, requirements and a software prototype for Cloud infrastructure decisions. Softw. Pract. Exp. 43, 1283-1297. doi:10.1002/spe.1110.
  28. Misra, S.C., Mondal, A., 2011. Identification of a company's suitability for the adoption of cloud computing and modelling its corresponding Return on Investment,. Math. Comput. Model. 53, 504-521.
  29. Orue-Echevarria, L., Alonso, J., Escalante, M., Schuster, S., 2012. Assessing the Readiness to Move into the Cloud, in: International Conference on Cloud Computing. Springer International publishing, pp. 12- 20.
  30. Zopounidis, C., Doumpos, M., 2002. Multicriteria classification and sorting methods: A literature review,. Eur. J. Oper. Res. 138, 229-246.
Download


Paper Citation


in Harvard Style

Workineh M., Garcia N. and Midekso D. (2017). Cloud Suitability Assessment Method for Application Software . In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-243-1, pages 626-631. DOI: 10.5220/0006365206260631


in Bibtex Style

@conference{closer17,
author={Mesfin Workineh and Nuno M. Garcia and Dida Midekso},
title={Cloud Suitability Assessment Method for Application Software},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2017},
pages={626-631},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006365206260631},
isbn={978-989-758-243-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Cloud Suitability Assessment Method for Application Software
SN - 978-989-758-243-1
AU - Workineh M.
AU - Garcia N.
AU - Midekso D.
PY - 2017
SP - 626
EP - 631
DO - 10.5220/0006365206260631