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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Towards Secure Non-Deterministic Meta-Scheduling For Clouds

Authors:

Agnieszka Jakobik, Daniel Grzonka, Joanna Kolodziej, Horacio Gonzalez-Velez

Published in:

 

 

(2016).ECMS 2016 Proceedings edited by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and Simulation. doi:10.7148/2016

 

 

ISBN: 978-0-9932440-2-5

 

30th European Conference on Modelling and Simulation,

Regensburg Germany, May 31st – June 3rd, 2016

 

Citation format:

Agnieszka Jakobik, Daniel Grzonka, Joanna Kolodziej, Horacio Gonzalez-Velez (2016). Towards Secure Non-Deterministic Meta-Scheduling For Clouds, ECMS 2016 Proceedings edited by: Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose  European Council for Modeling and Simulation. doi:10.7148/2016-0596

 

DOI:

http://dx.doi.org/10.7148/2016-0596

Abstract:

Task scheduling in large-scale distributed High Performance Computing (HPC) systems environments remains challenging research and engineering problem. There is a need of development of novel advanced scheduling techniques in order to optimise the resource utilisation. In this work, we develop the Agent Supported Non-Deterministic Meta Scheduler for cloud environments. This scheduling model is a simple combination of intelligent agent-based monitoring model for cloud system and security-aware cloud scheduler. In our model, scheduling, monitoring and reporting are provided in nondeterministic time intervals. An empirical case study using a FastFlow task farm was presented. It has demonstrates the effectiveness of the proposed solution.

 

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