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Roshan R. Nair

dblp:401/7640 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0004-0172-3785ORCID · reported

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

Systems, architecture and hardware · 2 · 2 since 2021Databases, data management, data science and information retrieval · 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
2 papers
Storage systems · 76% Memory systems · 24%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
file systems
1.012026
Advancing Data Integrity in Linux · FAST 2026
Storage systems
data placement
0.912025
Towards Efficient Flash Caches with Emerging NVMe Flexible Data Placement SSDs · EuroSys 2025
Memory systems › cache management › storage caching
flash cache management
0.912025
Towards Efficient Flash Caches with Emerging NVMe Flexible Data Placement SSDs · EuroSys 2025
Storage systems › flash and SSD › flash memory
flash storage
0.912025
Towards Efficient Flash Caches with Emerging NVMe Flexible Data Placement SSDs · EuroSys 2025
Operating systems › resource management › storage management
file systems
0.312026
Advancing Data Integrity in Linux · FAST 2026

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

garbage collection analysis · 0.9NVMe · 0.9
YearPublicationVenuePosition
2026 Advancing Data Integrity in Linux
Christoph Hellwig, Kanchan Joshi, Javier González 0006, Roshan R. Nair
FAST6
2025 Towards Efficient Flash Caches with Emerging NVMe Flexible Data Placement SSDs
abstract
NVMe Flash-based SSDs are widely deployed in data centers to cache working sets of large-scale web services. As data centers face increasing sustainability demands, such as reduced carbon emissions, efficient management of Flash overprovisioning and endurance has become crucial. Our analysis demonstrates that mixing data with different lifetimes on Flash blocks results in high device garbage collection costs, which either reduce device lifetime or necessitate host overprovisioning. Targeted data placement on Flash to minimize data intermixing and thus device write amplification shows promise for addressing this issue.
Michael Allison, Arun George, Javier González 0006, Dan Helmick, Roshan R. Nair, Vivek Shah 0001
EuroSys6