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REuse and Migration of legacy applications to Interoperable Cloud Services (REMICS)

REMICS is an EU FP7 project. The goal of REMICS is to develop advanced model-driven methodology and tools for REuse and Migration of legacy applications 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 also takes an active role in the standardization 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. Within the project, we are dealing with migrating legacy OLAP/OLTP applications to the cloud frameworks. For this purpose, we are developing a desktop to cloud migration (D2CM) tool. The tool integrates several software libraries to facilitate virtual machine image migration and management of experiments running in the cloud. We are also studying and developing a framework for verifying the performance and scalability of applications running in the cloud.

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Publications

  • M. Vasar, S. N. Srirama, M. Dumas: Framework for Monitoring and Testing Web Application Scalability on the Cloud, Nordic Symposium on Cloud Computing & Internet Technologies (NORDICLOUD 2012), Co-located event at Joint 10th Working IEEE/IFIP Conference on Software Architecture & 6th European Conference on Software Architecture (WICSA/ECSA 2012), August 20-24, 2012. (Accepted for publication)
  • M. Mazzucco, M. Vassar, M. Dumas: Squeezing out the Cloud via Profit-Maximizing Resource Allocation Policies, In Proceedings of the 20th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), Arlington, VA, USA, August 2012. IEEE Computer Society.
  • M. Mazzucco, I. Mitrani: Empirical Evaluation of Power Saving Policies for Data Centers, ACM Greenmetrics, London (UK), June 2012.

Theses

  • M. Vasar, A Framework for Verifying Scalability and Performance of Cloud Based Web Applications, Master's thesis, University of Tartu, June, 2012. Supervisor: Satish Srirama

 

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