Abstract
With the evolution of ICT in different business domain, it has become essential to almost all the IT project stakeholders to move applications into cloud for saving IT cost and ensuring sustainability of IT solutions for future. On this fact, it is already proven that cloud implementation has given ample opportunity to reduce overall IT cost of the organization. In cloud implementation, Project stakeholders would have to bear only cost which is project owners ought to pay according to uses of IT resources on pay-per-use cost model. But, in the cloud implementation journey, the most impacting and challenging activity is to do migration of existing application to cloud platform smoothly without interruption of existing application’s user’s experiences and on-going business activities. In this study, authors’ main focus is to propose conceptual framework for assisting to do migration of IT projects in cloud platform. This generic framework will mostly cover End to End processes which require migrating Microsoft based technology applications those are mostly developed in Dot Net and SQL server technology and deployed in Internet Information Server (IIS). The holistic objective of the proposed framework is to facilitate business to provide faster, more reliable, robust and cost effective migration process. This study also has taken in scope to develop very simple proof of concept (POC) to do some sort of validity of the proposed idea.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brian H. (2008), Cloud computing, Communications ACM, Volume 51, Issue 7, July 2008.
Junfeng Z., Jiantao Z., Hongji Y. and Guoping L. (2015), “An Orthogonal Approach to Reusable Component Discovery in Cloud Migration”, China Communications.
Jamshidi P., Ahmad A., and Pahl C. (2013), “Cloud Migration Research: A Systematic Review”, IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. 1, NO. 2, JULY–DECEMBER 2013.
Johnson B., Qu Y. (2012), “A Holistic Model for Making Cloud Migration Decision - A Consideration of Security, Architecture and Business Economics”, 2012 10th IEEE international Symposium on Parallel and Distributed Processing with Applications.
Piao J.T., Yan, J. (2010), “A Network-aware Virtual Machine Placement and Migration Approach in Cloud Computing”, 2010 Ninth International Conference on Grid and Cloud Computing.
Atkinson C., Bostan P., Hummel, O. and Stoll D. (2007), A Practical Approach to Web Service Discovery and Retrieval. In ICWS2007.
Yen I., Gao T. and Ma H. (2006). A genetic algorithm based QoS analysis tool for reconfigurable service oriented systems. In Advances in Machine Learning Application in Software Engineering, edited by Du Zhang and Jeff Tsai, IDEA Group Publishing, pp. 121–146.
Zheng L., Wu, S. (2010), “An Infrastructure for Web Services Migration in Clouds”, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), IEEE.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this paper
Cite this paper
Sanyal, M.K., Das, S., Bhadra, S. (2017). A Proposed Conceptual Framework to Migrate Microsoft Technology Based Applications to Cloud Environment. In: Mandal, J., Satapathy, S., Sanyal, M., Bhateja, V. (eds) Proceedings of the First International Conference on Intelligent Computing and Communication. Advances in Intelligent Systems and Computing, vol 458. Springer, Singapore. https://doi.org/10.1007/978-981-10-2035-3_12
Download citation
DOI: https://doi.org/10.1007/978-981-10-2035-3_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2034-6
Online ISBN: 978-981-10-2035-3
eBook Packages: EngineeringEngineering (R0)