Conference Proceedings

Energy efficient scheduling of application components via brownout and approximate markov decision process

M Xu, R Buyya, M Maximilien (ed.), A Vallecillo (ed.), J Wang (ed.), M Oriol (ed.)

Lecture Notes in Artificial Intelligence | Springer | Published : 2017

Abstract

© Springer International Publishing AG 2017. Unexpected loads in Cloud data centers may trigger overloaded situation and performance degradation. To guarantee system performance, cloud computing environment is required to have the ability to handle overloads. The existing approaches, like Dynamic Voltage Frequency Scaling and VM consolidation, are effective in handling partial overloads, however, they cannot function when the whole data center is overloaded. Brownout has been proved to be a promising approach to relieve the overloads through deactivating application non-mandatory components or microservices temporarily. Moreover, brownout has been applied to reduce data center energy consump..

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