"Muu" projekt MTAT11134R
MTAT11134R "REMICS-EnlargedEU - Reuse and Migration of legacy applications to Interoperable Cloud Services - Enlarged EU (1.09.2011−31.08.2013)", Satish Narayana Srirama, Tartu Ülikool, Tartu Ülikool, Matemaatika-informaatikateaduskond, Arvutiteaduse instituut.
MTAT11134R
REMICS-EnlargedEU - Pärandrakenduste taaskasutus ning migratsioon koostalitlusvõimelistele pilvarvutus teenustele - Laienenud EU
REMICS-EnlargedEU - Reuse and Migration of legacy applications to Interoperable Cloud Services - Enlarged EU
REMICS-EnlargedEU - Reuse and Migration of legacy applications to Interoperable Cloud Services - Enlarged EU
1.09.2011
31.08.2013
Teadus- ja arendusprojekt
Muu
ValdkondAlamvaldkondCERCS erialaFrascati Manual’i erialaProtsent
4. Loodusteadused ja tehnika4.6. ArvutiteadusedP170 Arvutiteadus, arvutusmeetodid, süsteemid, juhtimine (automaatjuhtimisteooria)1.1. Matemaatika ja arvutiteadus (matemaatika ja teised sellega seotud teadused: arvutiteadus ja sellega seotud teadused (ainult tarkvaraarendus, riistvara arendus kuulub tehnikavaldkonda)50,0
4. Loodusteadused ja tehnika4.6. ArvutiteadusedP175 Informaatika, süsteemiteooria1.1. Matemaatika ja arvutiteadus (matemaatika ja teised sellega seotud teadused: arvutiteadus ja sellega seotud teadused (ainult tarkvaraarendus, riistvara arendus kuulub tehnikavaldkonda)50,0
AsutusRiikTüüp
Euroopa Komisjon
PerioodSumma
01.09.2011−31.08.2013205 200,00 EUR
205 200,00 EUR
7. raamprogramm

The goal of REMICS is to develop advanced model-driven methodology and tools for REuse and Migration of legacy appiications to Interoperable Cloud Services. Combining the deployment models of the cloud paradigm with the SaaS (Software as a Service) model allows software companies to reuse and extend their legacy applications, compose them in new ways, and reach new markets. REMICS aiso takes an active roie in the standardisation of metamodels and languages in the OMG activities around Architecture-Driven Modernization, SOA and Cloud Computing, Model-Driven Interoperability, Models@Runtime, Model Checking and Model-based Testing. The extension project will enhance the REMICS approach for recovery and migration in several complementary areas. Firstly, requirement models will be extracted from the legacy applications, and model transformations will be developed to generate 1) service-oriented architectures and 2) test cases for the cloud migration. Secondly, migration techniques for online transaction-based systems will be developed that are of interest in several domains such as banking and order processing. Thirdly, performance testing of applications in the cloud will enhance the runtime monitoring facilities and allow for optimization of cloud-based applications. Finally, the REMICS methodology will be enhanced by including methodology support for the technological advances, introducing relevant agile practices, work on migration possibilities and agile method engineering. The new partners will also contribute to the standardization activities for PIM4Cloud, Knowledge Discovery metamodel extensions and methodology engineering. These extensions are in line with the REMICS objective to provide an integrated methodology and tool suite that is open and applicable in several domains. Additional dissemination and exploitation activities in the Enlarged EU will ensure broader impact of the REMICS results. REMICS aims to validate its results in industrial contexts and the two existing use cases will be supplemented with three additional ones.
The goal of REMICS is to develop advanced model-driven methodology and tools for REuse and Migration of legacy appiications to Interoperable Cloud Services. Combining the deployment models of the cloud paradigm with the SaaS (Software as a Service) model allows software companies to reuse and extend their legacy applications, compose them in new ways, and reach new markets. REMICS aiso takes an active roie in the standardisation of metamodels and languages in the OMG activities around Architecture-Driven Modernization, SOA and Cloud Computing, Model-Driven Interoperability, Models@Runtime, Model Checking and Model-based Testing. The extension project will enhance the REMICS approach for recovery and migration in several complementary areas. Firstly, requirement models will be extracted from the legacy applications, and model transformations will be developed to generate 1) service-oriented architectures and 2) test cases for the cloud migration. Secondly, migration techniques for online transaction-based systems will be developed that are of interest in several domains such as banking and order processing. Thirdly, performance testing of applications in the cloud will enhance the runtime monitoring facilities and allow for optimization of cloud-based applications. Finally, the REMICS methodology will be enhanced by including methodology support for the technological advances, introducing relevant agile practices, work on migration possibilities and agile method engineering. The new partners will also contribute to the standardization activities for PIM4Cloud, Knowledge Discovery metamodel extensions and methodology engineering. These extensions are in line with the REMICS objective to provide an integrated methodology and tool suite that is open and applicable in several domains. Additional dissemination and exploitation activities in the Enlarged EU will ensure broader impact of the REMICS results. REMICS aims to validate its results in industrial contexts and the two existing use cases will be supplemented with three additional ones.
TegevusProtsent
Alusuuring80,0
Rakendusuuring20,0