TY - GEN
T1 - ARTIST methodology and framework
T2 - 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2013
AU - Menychtas, Andreas
AU - Santzaridou, Christina
AU - Kousiouris, George
AU - Varvarigou, Theodora
AU - Orue-Echevarria, Leire
AU - Alonso, Juncal
AU - Gorronogoitia, Jesus
AU - Bruneliere, Hugo
AU - Strauss, Oliver
AU - Senkova, Tatiana
AU - Pellens, Bram
AU - Stuer, Peter
PY - 2013
Y1 - 2013
N2 - Nowadays Cloud Computing is considered as the ideal environment for engineering, hosting and provisioning applications. A continuously increasing set of cloud-based solutions is available to application owners and developers to tailor their applications exploiting the advanced features of this paradigm for elasticity, high availability and performance. Although these offerings provide many benefits to new applications, they also incorporate constrains to the modernization and migration of legacy applications by obliging the use of specific technologies and explicit architectural design approaches. The modernization and adaptation of legacy applications to cloud environments is a great challenge for all involved stakeholders, not only from the technical perspective, but also in business level with the need to adapt the business processes and models of the modernized application that will be offered from now on, as a service. In this paper we present a novel model-driven approach for the migration of legacy applications in modern cloud environments which covers all aspects and phases of the migration process, as well as an integrated framework that supports all migration process.
AB - Nowadays Cloud Computing is considered as the ideal environment for engineering, hosting and provisioning applications. A continuously increasing set of cloud-based solutions is available to application owners and developers to tailor their applications exploiting the advanced features of this paradigm for elasticity, high availability and performance. Although these offerings provide many benefits to new applications, they also incorporate constrains to the modernization and migration of legacy applications by obliging the use of specific technologies and explicit architectural design approaches. The modernization and adaptation of legacy applications to cloud environments is a great challenge for all involved stakeholders, not only from the technical perspective, but also in business level with the need to adapt the business processes and models of the modernized application that will be offered from now on, as a service. In this paper we present a novel model-driven approach for the migration of legacy applications in modern cloud environments which covers all aspects and phases of the migration process, as well as an integrated framework that supports all migration process.
KW - Cloud Computing
KW - Legacy Software
KW - Methodology
KW - Migration
KW - Modelling
KW - Modernization
UR - https://www.scopus.com/pages/publications/84904580191
U2 - 10.1109/SYNASC.2013.62
DO - 10.1109/SYNASC.2013.62
M3 - Conference contribution
AN - SCOPUS:84904580191
SN - 9781479930357
T3 - Proceedings - 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2013
SP - 424
EP - 431
BT - Proceedings - 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2013
PB - IEEE Computer Society
Y2 - 23 September 2013 through 26 September 2013
ER -