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Performance Modelling of Dynamic Server Allocation for Energy Efficiency using PEPA

Lookup NU author(s): Ali Alssaiari, Dr Nigel Thomas



This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Power consumption in data centres receive a huge concern by data centre providers. This paper considers modelling a policy in PEPA to control powering on or off servers dynamically. The main focus was to identify and reflect over the trade-off between saving energy (by powering down servers) and performance cost. While powering down servers save energy, it could increase the performance cost. The experiment analyses the effect of the policy on energy consumption and performance cost. Different combination of dynamic and static servers used in this policy against different scenarios including changes job arrival rate, job arrival duration and the time that is needed by servers to fully power on and serve jobs. This gives an interesting outcome because every scenario is unique and therefore no server combinations does gives low energy and high performance in all scenario.

Publication metadata

Author(s): Alssaiari A, Thomas N

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 32nd UK Performance Engineering Workshop

Year of Conference: 2016

Print publication date: 09/09/2016

Acceptance date: 12/08/2016

Date deposited: 31/10/2016