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A Scheduling Architecture for Enforcing Quality of Service in Multi-Process Systems

Authors:

Marcus Jägemar, Moris Behnam, Sigrid Eldh, Andreas Ermedahl

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

International Conference on Emerging Technologies And Factory Automation

Abstract

Abstract—There is a massive deployment of multi-core CPUs. It requires a significant drive to consolidate multiple services while still achieving high performance on these off-the-shelf CPUs. Each function had earlier an own execution environment, which guaranteed a certain Quality of Service (QoS). Consolidating multiple services can give rise to shared resource congestions, resulting in lower and non-deterministic QoS. We describe a method to increase the overall system performance by assisting the operating system process scheduler to utilize shared resources more efficiently. Our method utilizes hardware- and system-level performance counters to profile the shared resource usage of each process. We also use a big-data approach to analyzing statistics from many nodes. The outcome of the analysis is a decision support model that is utilized by the process scheduler when allocating and scheduling process. Our scheduler can efficiently distribute processes compared to traditional CPU-load based process schedulers by considering the hardware capacity and previous scheduling- and allocation decisions.

Bibtex

@inproceedings{Jagemar4789,
author = {Marcus J{\"a}gemar and Moris Behnam and Sigrid Eldh and Andreas Ermedahl},
title = {A Scheduling Architecture for Enforcing Quality of Service in Multi-Process Systems},
month = {September},
year = {2017},
booktitle = {International Conference on Emerging Technologies And Factory Automation},
url = {http://www.es.mdu.se/publications/4789-}
}