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Title: Investigating and Mitigating Contention on Low-End Multi-Core Microcontrollers
In this paper, we investigate the problem of contention and loss of predictability in modern microcontrollers (MCU). To address this issue, we first present a framework to empirically analyze and observe the impact of interference on low-end MCUs. With carefully crafted evaluation scenarios, we conduct experiments on an Arm’s Musca-A1 platform and provide sufficient evidence that even with common application setups, interference can slowdown applications by several orders of magnitude. Furthermore, we propose an architecture for a novel mitigation system that enables applications to monitor their timing progress slackness and mitigate temporal interference over shared resources. This is achieved by suspending less critical cores and reconfiguring their priority on the bus when intolerable contention delays are present. Our findings emphasize the critical importance of considering the impact of shared resources, such as interconnects and memory access patterns, on low-end multi-core MCUs. It is, therefore, crucial to design mechanisms that can allow MCU-based applications to regain control of their timeliness.  more » « less
Award ID(s):
2008799
PAR ID:
10482049
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
ACM
Date Published:
Journal Name:
Cyber-Physical Systems and Internet of Things Week, 2nd Workshop on Real-time Intelligent Edge Computing (RAGE'23)
ISBN:
9798400700491
Page Range / eLocation ID:
221 to 226
Format(s):
Medium: X
Location:
San Antonio, TX, USA
Sponsoring Org:
National Science Foundation
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