Google-Wide Profiling (GWP), a continuous profiling infrastructure for data centers, provides performance insights for cloud applications. With negligible overhead, GWP provides stable, accurate profiles and a datacenter-scale tool for traditional performance analyses. Furthermore, GWP introduces novel applications of its profiles, such as application- platform affinity measurements and identification of platform-specific, microarchitectural peculiarities.
%0 Journal Article
%1 ren2010googlewide
%A Ren, Gang
%A Tune, Eric
%A Moseley, Tipp
%A Shi, Yixin
%A Rus, Silvius
%A Hundt, Robert
%C Los Alamitos, CA, USA
%D 2010
%I IEEE Computer Society Press
%J IEEE Micro
%K bigdata google profiling
%N 4
%P 65--79
%R 10.1109/MM.2010.68
%T Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers
%U http://dx.doi.org/10.1109/MM.2010.68
%V 30
%X Google-Wide Profiling (GWP), a continuous profiling infrastructure for data centers, provides performance insights for cloud applications. With negligible overhead, GWP provides stable, accurate profiles and a datacenter-scale tool for traditional performance analyses. Furthermore, GWP introduces novel applications of its profiles, such as application- platform affinity measurements and identification of platform-specific, microarchitectural peculiarities.
@article{ren2010googlewide,
abstract = {Google-Wide Profiling (GWP), a continuous profiling infrastructure for data centers, provides performance insights for cloud applications. With negligible overhead, GWP provides stable, accurate profiles and a datacenter-scale tool for traditional performance analyses. Furthermore, GWP introduces novel applications of its profiles, such as application- platform affinity measurements and identification of platform-specific, microarchitectural peculiarities.},
acmid = {1849332},
added-at = {2017-10-13T08:45:51.000+0200},
address = {Los Alamitos, CA, USA},
author = {Ren, Gang and Tune, Eric and Moseley, Tipp and Shi, Yixin and Rus, Silvius and Hundt, Robert},
biburl = {https://www.bibsonomy.org/bibtex/2fc4c6cb96a35b11dc2985b727c062468/jaeschke},
doi = {10.1109/MM.2010.68},
interhash = {bf926c38636e03f3f84d7435ce60e893},
intrahash = {fc4c6cb96a35b11dc2985b727c062468},
issn = {0272-1732},
issue_date = {July 2010},
journal = {IEEE Micro},
keywords = {bigdata google profiling},
month = jul,
number = 4,
numpages = {15},
pages = {65--79},
publisher = {IEEE Computer Society Press},
timestamp = {2017-10-13T08:45:51.000+0200},
title = {Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers},
url = {http://dx.doi.org/10.1109/MM.2010.68},
volume = 30,
year = 2010
}