Development of Adaptive Multi-cloud Applications - A Model-Driven Approach

2018 ◽  
Vol 10 (2) ◽  
pp. 50-60
Author(s):  
Aparna Vijaya ◽  
Neelanarayanan Venkataraman

Cloud computing is a paradigm which has changed the way organizations develop, manage, and deploy their applications. Most of the resources are available at low costs in this technology and it creates new opportunities for organizations to move their existing applications to the cloud for modernization. But this modernization also comes at a price. The authors present a model-driven approach to address the challenges in application modernization and focus on the application migration to cloud. Most of the cloud applications are very specific to a particular vendor's features or services. The proposed methodology addresses the challenge of vendor lock-in also. The authors present their theoretical details and experience with two pilot projects where they have applied the proposed approach.


Author(s):  
Christoph Rieger ◽  
Daniel Lucrédio ◽  
Renata Pontin M. Fortes ◽  
Herbert Kuchen ◽  
Felipe Dias ◽  
...  

2021 ◽  
Vol 11 (6) ◽  
pp. 2554
Author(s):  
Yoel Arroyo ◽  
Ana I. Molina ◽  
Miguel A. Redondo ◽  
Jesús Gallardo

This paper introduces Learn-CIAM, a new model-based methodological approach for the design of flows and for the semi-automatic generation of tools in order to support collaborative learning tasks. The main objective of this work is to help professors by establishing a series of steps for the specification of their learning courses and the obtaining of collaborative tools to support certain learning activities (in particular, for in-group editing, searching and modeling). This paper presents a complete methodological framework, how it is supported conceptually and technologically, and an application example. So to guarantee the validity of the proposal, we also present some validation processes with potential designers and users from different profiles such as Education and Computer Science. The results seem to demonstrate a positive reception and acceptance, concluding that its application would facilitate the design of learning courses and the generation of collaborative learning tools for professionals of both profiles.


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