Application-aware cross-layer virtual machine resource management

Lixi Wang, Jing Xu, Ming Zhao

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

17 Scopus citations

Abstract

Existing resource management solutions in datacenters and cloud systems typically treat VMs as black boxes when making resource allocation decisions. This paper advocates the cooperation between VM host- and guest-layer schedulers for optimizing the resource management and application performance. It presents an approach to such cross-layer optimization upon fuzzy-modelingbased resource management. This approach exploits guest-layer application knowledge to capture workload characteristics and improve VM modeling, and enables the host-layer scheduler to feedback resource allocation decision and adapt guest-layer application configuration. As a case study, this approach is applied to virtualized databases which have challenging dynamic, complex resource usage behaviors. Specifically, it characterizes query workloads based on a database's internal cost estimation and adapts query executions by tuning the cost model parameters according to changing resource availability. A prototype of the proposed approach is implemented on Xen VMs and evaluated using workloads based on TPC-H and RUBiS. The results show that with guest-to-host workload characterization, resources can be efficiently allocated to database VMs serving workloads with changing intensity and composition while meeting Quality-of- Service (QoS) targets. For TPC-H, the prediction error for VM resource demand is less than 3.5%; for RUBiS, the response time target is met for 92% of the time. Both significantly outperform the resource allocation scheme without workload characterization. With host-to-guest database adaptation, the performance of TPCH- based workloads is also improved by 17% when the VM's available I/O bandwidth is reduced due to contention.

Original languageEnglish (US)
Title of host publicationICAC'12 - Proceedings of the 9th ACM International Conference on Autonomic Computing
Pages13-22
Number of pages10
DOIs
StatePublished - Oct 26 2012
Externally publishedYes
Event9th ACM International Conference on Autonomic Computing, ICAC'12 - San Jose, CA, United States
Duration: Sep 18 2012Sep 20 2012

Publication series

NameICAC'12 - Proceedings of the 9th ACM International Conference on Autonomic Computing

Other

Other9th ACM International Conference on Autonomic Computing, ICAC'12
CountryUnited States
CitySan Jose, CA
Period9/18/129/20/12

Keywords

  • Autonomic computing
  • Fuzzy modeling
  • Resource management
  • Virtualization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Application-aware cross-layer virtual machine resource management'. Together they form a unique fingerprint.

Cite this