Proceedings paper

Title:
Showstopper: The Partial CPU Load Tool (Poster Paper)
Authors:
A. Podzimek, L. Chen, L. Bulej, W. Binder, P. Tůma
Publication:
Proc. 22nd IEEE International Symposium on Modelling, Analysis Simulation of Computer and Telecommunication Systems (MASCOTS)
DOI:
Year:
2014

Abstract:
Provisioning strategies relying on CPU load may be suboptimal for many applications, because the relation between CPU load and application performance can be non-linear and complex. With the knowledge of the relation between CPU load and application performance, resource provisioning strategies could be tuned to a particular application, but the required knowledge is difficut to obtain, because classic benchmarking is not suited for performance evaluation of partial-load scenarios. As a remedy, we present Showstopper, a tool capable of achieving and sustaining a predefined partial CPU load (or replay a load trace) by controlling the execution of arbitrary CPU-bound workloads. By analyzing performance interference among applications running in colocated virtual machines, we demonstrate how Showstopper enables systematic and reproducible exploration of the platform- and application-specific relation between CPU load and application performance.

BibTeX:
@inproceedings{podzimek_showstopper_2014,
    title = {{Showstopper: The Partial CPU Load Tool (Poster Paper)}},
    author = {Podzimek, A. and Chen, L.Y. and Bulej, L. and Binder, W. and Tuma, P.},
    year = {2014},
    booktitle = {{Proc. 22nd IEEE International Symposium on Modelling, Analysis Simulation of Computer and Telecommunication Systems (MASCOTS)}},
    publisher = {IEEE},
    doi = {10.1109/MASCOTS.2014.75},
    pages = {510--513},
    shorttitle = {Showstopper},
}