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Authors: Breno G. S. Costa and Priscila Solis

Affiliation: University of Brasília, Brazil

Keyword(s): Cloud Computing, Legacy Systems, Migration, Reference Model, Risk Perception.

Abstract: With the utilization of Cloud Computing as the way to provide Information Technology services, the organizations can migrate legacy systems to the cloud in order to reach several benefits. There are in the literature several proposals to model the critical elements of migration and many have been validated by specific case studies. Also several reference models were defined on top of these proposals and were created with the intention to consolidate different researches, trying to expand their applicability. Based on the above, this paper selects a reference model for migrating legacy systems to the cloud and proposes a method for calculating a score of perceived risk associated with each legacy system migration. The paper presents a proof of concept on government domain to show the method’s applicability.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Costa, B. and Solis, P. (2018). Risk Perception of Migrating Legacy Systems to the Cloud. In Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-295-0; ISSN 2184-5042, SciTePress, pages 634-642. DOI: 10.5220/0006801706340642

@conference{closer18,
author={Breno G. S. Costa. and Priscila Solis.},
title={Risk Perception of Migrating Legacy Systems to the Cloud},
booktitle={Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER},
year={2018},
pages={634-642},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006801706340642},
isbn={978-989-758-295-0},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER
TI - Risk Perception of Migrating Legacy Systems to the Cloud
SN - 978-989-758-295-0
IS - 2184-5042
AU - Costa, B.
AU - Solis, P.
PY - 2018
SP - 634
EP - 642
DO - 10.5220/0006801706340642
PB - SciTePress