Results of a five-year research project and several industrial collaborations have produced tools that model the individual effects and complex dynamic interactions between an IT system's application workload and resource contention at multiple levels in the execution environment. An evaluation shows significant resource efficiency gains without sacrificing the performance specified in service-level agreements.
%0 Journal Article
%1 KounevHuberEtAl16computer
%A Kounev, Samuel
%A Huber, Nikolaus
%A Brosig, Fabian
%A Zhu, Xiaoyun
%D 2016
%J Computer
%K 01624 ieee paper enterprise software system network admin adaptive optimize
%N 7
%P 53--61
%R 10.1109/MC.2016.198
%T A Model-Based Approach to Designing Self-Aware IT Systems and Infrastructures
%V 49
%X Results of a five-year research project and several industrial collaborations have produced tools that model the individual effects and complex dynamic interactions between an IT system's application workload and resource contention at multiple levels in the execution environment. An evaluation shows significant resource efficiency gains without sacrificing the performance specified in service-level agreements.
@article{KounevHuberEtAl16computer,
abstract = {Results of a five-year research project and several industrial collaborations have produced tools that model the individual effects and complex dynamic interactions between an IT system's application workload and resource contention at multiple levels in the execution environment. An evaluation shows significant resource efficiency gains without sacrificing the performance specified in service-level agreements.},
added-at = {2017-03-25T16:04:49.000+0100},
author = {Kounev, Samuel and Huber, Nikolaus and Brosig, Fabian and Zhu, Xiaoyun},
biburl = {https://www.bibsonomy.org/bibtex/27d611a51d3ad9981c2638c0541934b97/flint63},
doi = {10.1109/MC.2016.198},
file = {IEEE Digital Library:2016/KounevHuberEtAl16computer.pdf:PDF},
groups = {public},
interhash = {00bc3b7e9c69241d82202cbadffe60b1},
intrahash = {7d611a51d3ad9981c2638c0541934b97},
issn = {0018-9162},
journal = {Computer},
keywords = {01624 ieee paper enterprise software system network admin adaptive optimize},
month = {#jul#},
number = 7,
pages = {53--61},
timestamp = {2017-07-13T17:35:32.000+0200},
title = {A Model-Based Approach to Designing Self-Aware IT Systems and Infrastructures},
username = {flint63},
volume = 49,
year = 2016
}