Cloud Suitability Assessment Method for Application Software

Mesfin Workineh, Nuno M. Garcia, Dida Midekso

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.

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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