Resource Allocation and Job Scheduling in the Cloud Challenges and Research Directions

Eleni Karatza Professor Emeritus Department of Informatics Aristotle University of Thessaloniki, Greece

By Prof. Eleni Karatza, Aristotle University of Thessaloniki, Greece.

Cloud computing reveals a remarkable potential to provide computational services to scientists, consumers and enterprises as utilities, on a pay-per-use approach.
The cloud-computing paradigm can offer various types of services, such as computational resources for real-time multimedia applications, web services, social networking, urban mobility, health care, environmental science, etc. Furthermore, the simultaneous usage of services from different clouds can have additional benefits such as lower cost and high availability.
Cloud computing is a very important topic in academia and industry. However, while there has been substantial research already, there still remain important issues that must be addressed, such as: performance, resource allocation, efficient scheduling, energy conservation, reliability, protection of sensitive data, security and trust, cost, availability, quality, interoperability.
Effective management of cloud resources is crucial to use effectively the power of cloud systems and achieve high system performance. Complex multiple-task applications may have precedence constraints and specific deadlines and may impose several restrictions and QoS requirements; therefore resource allocation and scheduling is a difficult task in clouds where there are many alternative heterogeneous computers. The scheduling algorithms must seek a way to maintain a good response time to leasing cost ratio.
Evaluating the performance of existing clouds is often not feasible. Simulation is a valuable alternative mean to examining cloud performance, and to also assessing the impact of workload and system changes.
In this talk we will present state-of-the-art research covering a variety of concepts on resource allocation and job scheduling in the cloud. We will also provide future research directions in the cloud computing area.

Biography:

Eleni 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 210 technical papers and book chapters including four 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/%7Ekaratza/

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Important dates

Submission deadline March 14 18, 2018
Notification to authors March 31 April 6, 2018
Final version due April 10, 2018
Registration deadline April 16, 2018
ICMCS'18 Conference May, 10-12, 2018

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