Sabiri, K. and Benabbou, F. and Moutachaouik, H. and Hain, M. (2016) Towards a cloud migration framework. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Cloud computing paradigm is becoming more and more grown, which provides services model based on virtualization technologies. Despite outdating of legacy system, it is still used considerably after modern technology has come out, either because the organization has already invested in term of time and money in it, or because the legacy system has important data. In order to exploit the benefits of cloud computing, some of the organization wrote or rewrote software specially to run in the cloud. The numbers of companies that are expected to migrate their applications to cloud environment is increasing. Moving to the cloud is still a big challenge for many organizations. Effectively, how to draw a plan about moving a legacy style application to the cloud arise various challenges. The complexity and size of such project represent a big challenge especially for small and medium organizations to take the full advantages of cloud. As any software development project, migration projects should be planed carefully and have a good methodology to guarantee successful execution. The aim of this paper is to propose a methodology to ensure a migration process based on Architecture Driven Modernization (ADM) approach to cloud environment, this methodology focuses on understanding an on-premise application then establishing its Platform-Independent Model (PIM) to transform it into Platform Specific Model (PSM) cloud. © 2015 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Delta modulation; Legacy systems; Software design, Architecture-driven modernizations; Cloud environments; Modern technologies; Platform independent model; Platform specific model; Services modeling; Software development projects; Virtualization technologies, Cloud computing
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46
URI: http://eprints.umi.ac.ma/id/eprint/2596

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