Model-Free Control for Resource Harvesting in Computing Grids

被引：4

作者：

Guilloteau, Quentin ^{[1
]}

Robu, Bogdan ^{[2
]}

Join, Cedric ^{[3
,5
]}

Fliess, Michel ^{[4
,5
]}

Rutten, Eric ^{[1
]}

Richard, Olivier ^{[1
]}

机构：

[1] Univ Grenoble Alpes, CNRS, INRIA, LIG, F-38000 Grenoble, France

[2] Univ Grenoble Alpes, CNRS, Grenoble INP, GIPSA Lab, F-38000 Grenoble, France

[3] Univ Lorraine, CRAN, CNRS, UMR 7039, F-54506 Vandoeuvre Les Nancy, France

[4] Ecole Polytech, CNRS, UMR 7161, LIX, F-91128 Palaiseau, France

[5] ALIEN, 7 Rue Maurice Barres, F-54330 Vezelise, France

来源：

2022 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS, CCTA | 2022年

关键词：

Model-Free Control; Control for Computing; Resource Harvesting;

D O I：

10.1109/CCTA49430.2022.9966035

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cloud and High-Performance Computing (HPC) systems are increasingly facing issues of dynamic variability, in particular w.r.t. performance and power consumption. They are becoming less predictable, and therefore demand more runtime management by feedback loops. In this work, we describe results addressing autonomic administration in HPC systems through a control theoretical approach. We more specifically consider the need for controllers that can adapt to variations a long time in the behavior of controlled systems, but also to being reused on different systems and processors. We therefore explore the application of Model-Free Control (MFC) in the context of resource harvesting in a Computing Grid, by regulating the injection of flexible jobs while limiting perturbation of the prioritary applications.

引用

页码：384 / 390

页数：7

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