How to tame your VMs: an automated control system for virtualized services

Authors:
Akkarit Sangpetch;Andrew Turner;Hyong Kim
Affiliations:
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA;Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA;Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA
Venue:
LISA'10 Proceedings of the 24th international conference on Large installation system administration
Year:
2010

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Abstract

Modern datacenters contain a large number of virtualized applications and services with constantly changing demands for computing resources. Today's virtualization management tools allow administrators to monitor current resource utilization of virtual machines. However, it is quite challenging to manually translate user-oriented service level objectives (SLOs), such as response time or throughput, to suitable resource allocation levels. We presented an adaptive control system which automates the task of tuning resource allocations and maintains service level objectives. Our system focuses on maintaining the expected response time for multi-tier web applications. Our control system is capable of adjusting resource allocation for each VM so that the applications' response time matches the SLOs. Our approach uses individual tier's response time to model the end-to-end performance of the system. The system helps stabilize applications' response time. It can reduce the mean deviation of the response time from specified targets by up to 80%. Our system also allows the physical servers to double the number of VMs hosted while maintaining the target response time.