Evaluating the use of automation in the virtual datacentre for improved efficiency
Dasilva, D.A. and Sotiriadis, Stelios and Hill, R. and Antonopoulos, N. and Bessis, N. (2013) Evaluating the use of automation in the virtual datacentre for improved efficiency. In: UNSPECIFIED (ed.) 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. IEEE, pp. 457-460. ISBN 9780769550947.
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Abstract
Virtualization offers flexible and rapid provisioning of the physical machines. Latest years isolation and migration of virtual machines have improved resource utilization as well as resource management techniques. This paper is focusing on the process of migration and leveraging virtual machine handling with this use of automation. We outline current trends and issues with regard to datacentre that apply policy-based automation. The automated solution will improve the efficiency of operations in the datacentre focusing mainly on improving resource handling as well as reducing power consumption. This could be proven particular useful in disaster management recovery wherein power supplies will need to be optimized. The focus of this work is on an approach for virtual machine and power management. We present a discussion to show such a functionality by using migration in order to reduce server sprawl, minimize power consumption and load balance across physical machines.
Metadata
Item Type: | Book Section |
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Keyword(s) / Subject(s): | computer centres, power aware computing, resource allocation, virtual machines, virtualisation, disaster management recovery, load balance, physical machines, policy-based automation, power consumption reduction, power management, power supplies, resource management techniques, resource utilization, server sprawl reduction, virtual datacentre, virtual machine handling, virtualization, Automation, Cloud computing, Dynamic scheduling, Resource management, Servers, Virtual machining, Virtualization, Datacenter automation, Recovery, Virtual machine power optimisation, Virtualization |
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
Research Centres and Institutes: | Birkbeck Knowledge Lab |
Depositing User: | Stelios Sotiriadis |
Date Deposited: | 18 Sep 2018 13:30 |
Last Modified: | 09 Aug 2023 12:43 |
URI: | https://eprints.bbk.ac.uk/id/eprint/21825 |
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