Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

Sotirios Damouras

dblp:23/8142 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · unresolved

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

Systems, architecture and hardware · 2Databases, data management, data science and information retrieval · 1

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 · 96% Hardware reliability and fault tolerance · 4%

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

TopicWeightPapersLastEvidence papers
Storage systems › storage reliability › disk reliability
latent sector errors
0.222010
Understanding latent sector errors and how to protect against them · ACM Trans. Storage 2010
Understanding Latent Sector Errors and How to Protect Against Them · FAST 2010
Storage systems
storage reliability
0.222010
Understanding latent sector errors and how to protect against them · ACM Trans. Storage 2010
Understanding Latent Sector Errors and How to Protect Against Them · FAST 2010
Storage systems › data redundancy
intra-disk redundancy
0.112010
Understanding latent sector errors and how to protect against them · ACM Trans. Storage 2010
Storage systems › storage reliability
scrubbing
0.112010
Understanding latent sector errors and how to protect against them · ACM Trans. Storage 2010
Hardware reliability and fault tolerance
error protection
0.012010
Understanding Latent Sector Errors and How to Protect Against Them · FAST 2010
Storage systems › storage reliability
RAID
0.012010
Understanding latent sector errors and how to protect against them · ACM Trans. Storage 2010
Storage systems › storage reliability › RAID
RAID reconstruction
0.012010
Understanding latent sector errors and how to protect against them · ACM Trans. Storage 2010

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

statistical analysis · 0.1field data analysis · 0.1
YearPublicationVenuePosition
2010 Understanding Latent Sector Errors and How to Protect Against Them
Bianca Schroeder, Sotirios Damouras, Phillipa Gill
FAST2
2010 Understanding latent sector errors and how to protect against them
abstract
Latent sector errors (LSEs) refer to the situation where particular sectors on a drive become inaccessible. LSEs are a critical factor in data reliability, since a single LSE can lead to data loss when encountered during RAID reconstruction after a disk failure or in systems without redundancy. LSEs happen at a significant rate in the field [Bairavasundaram et al. 2007], and are expected to grow more frequent with new drive technologies and increasing drive capacities. While two approaches, data scrubbing and intra-disk redundancy, have been proposed to reduce data loss due to LSEs, none of these approaches has been evaluated on real field data. This article makes two contributions. We provide an extended statistical analysis of latent sector errors in the field, specifically from the view point of how to protect against LSEs. In addition to providing interesting insights into LSEs, we hope the results (including parameters for models we fit to the data) will help researchers and practitioners without access to data in driving their simulations or analysis of LSEs. Our second contribution is an evaluation of five different scrubbing policies and five different intra-disk redundancy schemes and their potential in protecting against LSEs. Our study includes schemes and policies that have been suggested before, but have never been evaluated on field data, as well as new policies that we propose based on our analysis of LSEs in the field.
Bianca Schroeder, Sotirios Damouras, Phillipa Gill
ACM Trans. Storage2