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Guantian Lin

dblp:383/2962 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2025
0000-0002-0718-1428ORCID · corroborated

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

Systems, architecture and hardware · 2 · 1 first-author · 2 since 2021Computer 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
Storage systems · 100%

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

TopicWeightPapersLastEvidence papers
Storage systems › storage reliability
erasure coding
0.912025
Leveled Product Codes for Optimal Block Repairs in Geo-distributed Storage Systems · INFOCOM 2025
Storage systems › distributed storage
geo-distributed storage
0.912025
Leveled Product Codes for Optimal Block Repairs in Geo-distributed Storage Systems · INFOCOM 2025

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

coding theory · 0.9
YearPublicationVenuePosition
2025 Leveled Product Codes for Optimal Block Repairs in Geo-distributed Storage Systems
Si Wu 0003, Guantian Lin, Patrick P. C. Lee, Yinlong Xu 0001
INFOCOM2
2024 Optimal Wide Stripe Generation in Locally Repairable Codes via Staged Stripe Merging
abstract
Large-scale storage systems increasingly adopt era-sure coding for low-cost reliable storage by storing stripes of data and parity blocks. To further achieve higher storage savings with performance guarantees, enterprises and academia explore wide stripes with locally repairable codes (LRCs). However, how to efficiently generate wide LRC stripes remains a non-trivial issue. Current approaches on stripe merging provide a starting point for merging narrow LRC stripes into wide LRC stripes, but they lack flexibility in the number of stripes being merged and the stripe width of the wide LRC stripes being formed. In this paper, we propose staged stripe merging for wide stripe generation in LRCs, by allowing a flexible number of narrow LRC stripes to be gradually merged into a wide stripe in multiple stages with optimality guarantees. In particular, we design an optimal data placement scheme for a group of narrow LRC stripes to be merged, such that it provably minimizes the cross-cluster network traffic for stripe merging across each stage, while maintaining the repair efficiency of LRCs. We implement the optimal data placement scheme for two production LRC constructions in a distributed storage prototype. Evaluation shows that our optimal data placement scheme significantly reduces the stripe merging time compared with several baselines.
Si Wu 0003, Guantian Lin, Patrick P. C. Lee, Cheng Li 0001, Yinlong Xu 0001
ICDCS2
2024 Designing Non-uniform Locally Repairable Codes for Wide Stripes under Skewed File Accesses
abstract
Large-scale storage systems increasingly deploy erasure coding to provide high-reliability and low-cost data storage. To achieve further storage savings while maintaining repair efficiency, enterprises and academia explore wide stripes using locally repairable codes (LRCs) and several constructions are proposed. However, we find that these wide stripe LRCs neglect the file access information within the stripe, which matters as these LRCs assign uniform local group sizes while a wide stripe comprises many files with non-uniform or skewed access frequencies. Consequently, the repair efficiency is compromised. To this end, we design a novel wide stripe LRC construction called non-uniform LRC by fully considering the skewed file accesses in a wide stripe. Our non-uniform LRC assigns small group sizes for hot files in the stripe to achieve low repair cost and large group sizes for cold files to realize low storage overhead. It performs well under general coding parameters, adapts to irregular file sizes, provides high fault tolerance, and can be flexibly deployed to various data placements in real-world clustered storage systems. We implement our non-uniform LRC in a distributed storage prototype. Evaluations show that it greatly reduces the degraded read time and improves the node repair rate compared with the state-of-the-art wide stripe LRCs.
Guantian Lin, Si Wu 0003, Cheng Li 0001, Yinlong Xu 0001
ICPP1