Musa, IK and Walker, S (2014) Multi Objective Optimization Strategy Suitable for Virtual Cells as a Service. In: Innovations in Bio-inspired Computing and Applications. Advances in Intelligent Systems and Computing . Springer, pp. 49-59. ISBN 9783319017808. Official URL: https://doi.org/10.1007/978-3-319-01781-5_5
Musa, IK and Walker, S (2014) Multi Objective Optimization Strategy Suitable for Virtual Cells as a Service. In: Innovations in Bio-inspired Computing and Applications. Advances in Intelligent Systems and Computing . Springer, pp. 49-59. ISBN 9783319017808. Official URL: https://doi.org/10.1007/978-3-319-01781-5_5
Musa, IK and Walker, S (2014) Multi Objective Optimization Strategy Suitable for Virtual Cells as a Service. In: Innovations in Bio-inspired Computing and Applications. Advances in Intelligent Systems and Computing . Springer, pp. 49-59. ISBN 9783319017808. Official URL: https://doi.org/10.1007/978-3-319-01781-5_5
Abstract
Performance guarantee and management complexity are critical issues in delivering next generation infrastructure as a service (IAAS) cloud computing model. This is normally attributed to the current size of datacenters that are built to enable the cloud services. A promising approach to handle these issues is to offer IAAS from a subset of the datacenter as a, biologically inspired, virtual service cell. However, this approach requires effective strategies to ensure efficient use of datacenter resources while maintaining high performance and functionality for the service cells. We present a multi-objective and multi-constraint optimization (MOMCO) strategy based on genetic algorithm to the problem of resource placement and utilization suitable for virtual service cell model. We apply a combination of NSGA-II with various crossover strategies and population sizes to test our optimization strategy. Results obtained from our simulation experiment shows significant improvement on acceptance rate over non optimized solutions.
Item Type: | Book Section |
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Additional Information: | Proceedings of the 4th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2013, August 22 -24, 2013 - Ostrava, Czech Republic |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 25 Aug 2015 14:22 |
Last Modified: | 06 Dec 2024 01:08 |
URI: | http://repository.essex.ac.uk/id/eprint/14698 |