ABOUT Dublin City University
DCU is Ireland’s youngest university. It is ranked in the top ‘100 under 50’ on the Times Higher Education and in the ‘Top 50 under 50’ on the QS World Top 50 under 50 University Rankings; the only featured higher education institution on the island of Ireland.
The Irish Centre for Cloud Computing and Commerce (IC4) was established in February 2012 and has attracted national funding of €6.2m to date. IC4 carries out cutting-edge industry-led research focused on the development of next-generation cloud computing solutions and the acceleration of the adoption of cloud computing technologies by Irish technology companies and enterprises. IC4’s portfolio of research includes auto-scaling, migration, service lifecycle management including monitoring, heterogeneous cloud computing, security analytics and threat assessment, trust, cloud service brokerage, data protection and privacy. Through the modelling and simulation research group, IC4 has extensive experience in the area of simulation of Cloud and is currently leading the simulation-related work package for the FP7 CACTOS project.
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Role in the Project
The DCU research team will lead the simulation-related work and coordinate the dissemination and exploitation efforts. The team will also play a role in end use requirements collection and specification.
DCU will provide research and expertise in the area of discrete event simulation modelling, development and experimentation, correlating and validating the outputs between the simulated and real environments. A simulation toolkit will be developed building on the existing research and technical development from DCU and other partners towards the modelling of and experimentation with scenarios utilising the knowledge refined and created as part of the project. This will result in scientific and technical output through providing for better analysis capabilities in understanding the readiness of a system/data centre for IoT, in providing prediction and analysis of different analytical optimisations without the usage of real resources and in delivering mechanisms towards understanding which data analysis techniques should be applied in real situations leading to real economic benefits.