Automatic Quality of Service Control in Multi-core Systems using Cache Partitioning

Fulltext:


Authors:

Jakob Danielsson, Tiberiu Seceleanu, Marcus Jägemar, Moris Behnam, Mikael Sjödin

Research group:

Model-Based Engineering of Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

26th IEEE International Conference on Emerging Technologies and Factory Automation

Abstract

In this paper, we present a last-level cache partitioning controller for multi-core systems. Our objective is to control the Quality of Service (QoS) of applications in multi-core systems by monitoring run-time performance and continuously re-sizing cache partition sizes according to the applications' needs. We discuss two different use-cases; one that promotes application fairness and another one that prioritizes applications according to the system engineers' desired execution behavior. We display the performance drawbacks of maintaining a fair schedule for all system tasks and its performance implications for system applications. We, therefore, implement a second control algorithm that enforces cache partition assignments according to user-defined priorities rather than system fairness. Our experiments reveal that it is possible, with non-instrusive (0.3-0.7% CPU utilization) cache controlling measures, to increase performance according to setpoints and maintain the QoS for specific applications in an over-saturated system.

Bibtex

@inproceedings{Danielsson6290,
author = {Jakob Danielsson and Tiberiu Seceleanu and Marcus J{\"a}gemar and Moris Behnam and Mikael Sj{\"o}din},
title = {Automatic Quality of Service Control in Multi-core Systems using Cache Partitioning},
month = {October},
year = {2021},
booktitle = {26th IEEE International Conference on Emerging Technologies and Factory Automation},
url = {http://www.es.mdu.se/publications/6290-}
}