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Keynote Lecture

 

Clouds for Real-Time Applications - Scheduling Issues and Research Directions

Eleni Karatza
Aristotle University of Thessaloniki
Greece
 

Brief Bio
Helen Karatza is a Professor Emeritus in the Department of Informatics at the Aristotle University of Thessaloniki, Greece, where she teaches courses in the postgraduate and undergraduate level, and supervises doctoral and postdoctoral research. Dr. Karatza's research interests include Computer Systems Modeling and Simulation, Performance Evaluation, Grid and Cloud Computing, Energy Efficiency in Large Scale Distributed Systems, Resource Allocation and Scheduling and Real-time Distributed Systems. Dr. Karatza has authored or co-authored over 215 technical papers and book chapters including five papers that earned best paper awards at international conferences. She is senior member of IEEE, ACM and SCS, and she served as an elected member of the Board of Directors at Large of the Society for Modeling and Simulation International. She served as Chair and Keynote Speaker in International Conferences. Dr. Karatza is the Editor-in-Chief of the Elsevier Journal “Simulation Modeling Practice and Theory” and Senior Associate Editor of the “Journal of Systems and Software” of Elsevier. She was Editor-in-Chief of “Simulation Transactions of The Society for Modeling and Simulation International” and Associate Editor of “ACM Transactions on Modeling and Computer Simulation”. She served as Guest Editor of Special Issues in International Journals. More info about her activities/publications can be found in http://agent.csd.auth.gr/~karatza/


Abstract
For several years now there has been significant research in cloud computing. However, there still exist many open challenges due to the heterogeneity of cloud resources and the characteristics of the applications executed on such infrastructures. Cloud computing platforms offer an efficient means to run real-time applications. One of the most important aspects in cloud computing is the effective scheduling of real-time complex parallel jobs, allowing for guarantees that the deadlines will be met. Furthermore, the energy efficiency of cloud systems is very important. However, to reduce the energy consumption while meeting deadlines, adaptive scheduling techniques are required. In this talk we will present recent research covering a variety of concepts on real-time complex jobs scheduling in the cloud, and we will provide future research directions.



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