A model predictive controller for contention-aware resource allocation in virtualized data centers

M. Reza Hoseinyfarahabady, Young Choon Lee, Albert Y. Zomaya, Zahir Tari, Andy Song

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)

Abstract

Data center efficiency is primarily sought by sharing physical resources, such as processors, memory, and disks in the form of virtual machines or containers among multiple users, i.e., workload consolidation. However, the reality is co-located applications in these virtual platforms compete for resources and interfere with each others' performance, resulting in performance variability/degradation. In this paper, we present the contentionaware resource allocation (CARA) solution, which optimizes data center efficiency. It is essentially devised based on a model predictive control that enables to make judicious consolidation decisions with future system states. CARA consolidates workloads explicitly taking into account the correlation between shared and isolated resource usage patterns. Based on our experimental results, CARA improves the overall resource utilization by 32%, without a significant impact on the quality-of-service (QoS) enforcement level. Such improvement results in a fewer number of active servers and in turn contributes to an overall energy saving by 33%.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2016
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages277-282
Number of pages6
ISBN (Electronic)9781509034314
DOIs
Publication statusPublished - 5 Dec 2016
Event24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2016 - London, United Kingdom
Duration: 19 Sep 201621 Sep 2016

Other

Other24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2016
CountryUnited Kingdom
CityLondon
Period19/09/1621/09/16

Fingerprint Dive into the research topics of 'A model predictive controller for contention-aware resource allocation in virtualized data centers'. Together they form a unique fingerprint.

  • Cite this

    Hoseinyfarahabady, M. R., Lee, Y. C., Zomaya, A. Y., Tari, Z., & Song, A. (2016). A model predictive controller for contention-aware resource allocation in virtualized data centers. In Proceedings - 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2016 (pp. 277-282). [7774590] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/MASCOTS.2016.59