Om Saran K. R. E.

dblp:346/2209 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-6179-214XORCID · verified

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

Systems, architecture and hardware · 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
Storage systems · 100%
Software engineering, system software, and programming languages
1 paper
Software testing · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software testing › system software testing
crash consistency testing
0.712023
Chipmunk: Investigating Crash-Consistency in Persistent-Memory File Systems · EuroSys 2023
Software testing › system software testing
file system testing
0.712023
Chipmunk: Investigating Crash-Consistency in Persistent-Memory File Systems · EuroSys 2023
Storage systems
crash consistency
0.712023
Chipmunk: Investigating Crash-Consistency in Persistent-Memory File Systems · EuroSys 2023
Storage systems › crash consistency
crash-consistency bug detection
0.712023
Chipmunk: Investigating Crash-Consistency in Persistent-Memory File Systems · EuroSys 2023
Storage systems › file systems › file system design
persistent memory file system
0.712023
Chipmunk: Investigating Crash-Consistency in Persistent-Memory File Systems · EuroSys 2023
Storage systems › storage reliability
file system reliability
0.212023
Chipmunk: Investigating Crash-Consistency in Persistent-Memory File Systems · EuroSys 2023

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

crash-consistency testing framework · 1.3
YearPublicationVenuePosition
2023 Chipmunk: Investigating Crash-Consistency in Persistent-Memory File Systems
abstract
We present Chipmunk, a new framework to test persistent-memory (PM) file systems for crash-consistency bugs. Using Chipmunk, we discovered 23 new bugs across five PM file systems; most bugs have been confirmed and fixed by developers. The discovered bugs have serious consequences, including making the file system un-mountable or breaking rename atomicity. We present a detailed study of the bugs found using Chipmunk and discuss important lessons learned for designing and testing PM file systems.
Hayley LeBlanc, Shankara Pailoor, Om Saran K. R. E., Isil Dillig, James Bornholt, Vijay Chidambaram
EuroSys3