Profiling and Modeling Resource Usage of Virtualized Applications
Publication Date
2008
Journal or Book Title
MIDDLEWARE 2008, PROCEEDINGS
Abstract
Next Generation Data Centers are transforming labor-inten- sive, hard-coded systems into shared, virtualized, automated, and fully managed adaptive infrastructures. Virtualization technologies promise great opportunities for reducing energy and hardware costs through server consolidation. However, to safely transition an application running natively on real hardware to a virtualized environment, one needs to estimate the additional resource requirements incurred by virtualization overheads.
In this work, we design a general approach for estimating the resource requirements of applications when they are transferred to a virtual environment. Our approach has two key components: a set of microbenchmarks to profile the different types of virtualization overhead on a given platform, and a regression-based model that maps the native system usage profile into a virtualized one. This derived model can be used for estimating resource requirements of any application to be virtualized on a given platform. Our approach aims to eliminate error-prone manual processes and presents a fully automated solution. We illustrate the effectiveness of our methodology using Xen virtual machine monitor. Our evaluation shows that our automated model generation procedure effectively characterizes the different virtualization overheads of two diverse hardware platforms and that the models have median prediction error of less than 5% for both the RUBiS and TPC-W benchmarks.
DOI
https://doi.org/10.1007/978-3-540-89856-6_19
Pages
366-387
Volume
5346
Book Series Title
LECTURE NOTES IN COMPUTER SCIENCE
Recommended Citation
Wood, T; Cherkasova, L; Ozonat, K; and Shenoy, P, "Profiling and Modeling Resource Usage of Virtualized Applications" (2008). MIDDLEWARE 2008, PROCEEDINGS. 1015.
https://doi.org/10.1007/978-3-540-89856-6_19