Graduate School and Research Center in Digital Sciences

Dynamic resource shaping for compute clusters

Pace, Francesco; Milios, Dimitrios; Carra, Damiano; Michiardi, Pietro

BIGDATA 2019, IEEE International Congress on Big Data, 8-13 July 2019, Milan, Italy

Nowadays, data-centers are largely under-utilized because resource allocation is based on reservation mechanisms which ignore actual resource utilization. Indeed, it is common to reserve resources for peak demand, which may occur only for a small portion of the application life time. As a consequence, cluster resources often go under-utilized. In this work, we propose a mechanism that improves compute cluster utilization and their responsiveness, while preventing application failures due to contention in accessing finite resources such as RAM. Our method monitors resource utilization and employs a data-driven approach to resource demand forecasting, featuring quantification of uncertainty in the predictions. Using demand forecast and its confidence, our mechanism modulates cluster resources assigned to running applications, and reduces the turnaround time by more than one order of magnitude while keeping application failures under control. Thus, tenants enjoy a responsive system and providers benefit from an efficient cluster utilization.

Document Doi Bibtex

Title:Dynamic resource shaping for compute clusters
Type:Conference
Language:English
City:Milan
Country:ITALY
Date:
Department:Data Science
Eurecom ref:6001
Copyright: © 2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Bibtex: @inproceedings{EURECOM+6001, doi = {http://dx.doi.org/10.1109/BigDataCongress.2019.00019}, year = {2019}, title = {{D}ynamic resource shaping for compute clusters}, author = {{P}ace, {F}rancesco and {M}ilios, {D}imitrios and {C}arra, {D}amiano and {M}ichiardi, {P}ietro}, booktitle = {{BIGDATA} 2019, {IEEE} {I}nternational {C}ongress on {B}ig {D}ata, 8-13 {J}uly 2019, {M}ilan, {I}taly}, address = {{M}ilan, {ITALY}}, month = {07}, url = {http://www.eurecom.fr/publication/6001} }
See also: