Self-adaptive and self-configured CPU resource provisioning for virtualized servers using Kalman filters

Evangelia Kalyvianaki*, Themistoklis Charalambous, Steven Hand

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

155 Citations (Scopus)

Abstract

Data center virtualization allows cost-effective server consolidation which can increase system throughput and reduce power consumption. Resource management of virtualized servers is an important and challenging task, especially when dealing with fluctuating workloads and complex multi-tier server applications. Recent results in control theory-based resource management have shown the potential benefits of adjusting allocations to match changing workloads. This paper presents a new resource management scheme that integrates the Kalman filter into feedback controllers to dynamically allocate CPU resources to virtual machines hosting server applications. The novelty of our approach is the use of the Kalman filter the optimal filtering technique for state estimation in the sum of squares sense to track the CPU utilizations and update the allocations accordingly. Our basic controllers continuously detect and self-adapt to unforeseen workload intensity changes. Our more advanced controller self-configures itself to any workload condition without any a priori information. Indicatively, it results in within 4.8% of the performance of workload-aware controllers under high intensity workload changes, and performs equally well under medium intensity traffic. In addition, our controllers are enhanced to deal with multi-tier server applications: by using the pair-wise resource coupling between application components, they provide a 3% on average server performance improvement when facing large unexpected workload increases when compared to controllers with no such resource-coupling mechanism. We evaluate our techniques by controlling a 3-tier Rubis benchmark web site deployed on a prototype Xen-virtualized cluster.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Autonomic Computing, ICAC'09
PublisherACM
Pages117-126
Number of pages10
ISBN (Print)9781605585642
DOIs
Publication statusPublished - 2009
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Autonomic Computing - Barcelona, Spain
Duration: 15 Jun 200919 Jun 2009
Conference number: 6

Conference

ConferenceIEEE International Conference on Autonomic Computing
Abbreviated titleICAC
CountrySpain
CityBarcelona
Period15/06/200919/06/2009

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