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Saharsh Agrawal

dblp:380/6612 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
embedded software
0.812024
Retcon: Live Updates for Embedded Event-Driven Applications · IPSN 2024

Methods — techniques the papers use, named apart from their topics

static analysis · 0.8
YearPublicationVenuePosition
2024 Retcon: Live Updates for Embedded Event-Driven Applications
abstract
Embedded systems are deeply integrated into critical applications but, despite their importance, lack an effective means to apply over-the-air software patches without significant downtime. Standard mechanisms for firmware updates require device reboots that wipe important in-memory state. Prior efforts have proposed "live" updates to address this problem, applying patches to an embedded application without a reset, but they tackle a limited set of applications or propose a clean-slate design. In this paper, we present Retcon, a live update toolchain for embedded systems that supports a familiar event-driven programming model and does not require application code changes. Retcon leverages static analysis at compile time to determine when it will be safe to update a device. To find safe update points in the presence of complex asynchronous behavior, we define a novel system state, asynchronous quiescence, in which an update can be applied. We evaluate Retcon on a set of embedded event-driven applications – a dual-chamber pacemaker model, a programmable logic controller runtime, an artificial pancreas system, and a sensing node – and demonstrate Retcon’s ability to make low-overhead updates in less than one millisecond.
Jean-Luc Watson, Saharsh Agrawal, Ryan Tsang, Sherry Luo, Raluca A. Popa, Prabal Dutta
IPSN2