Demo Data from EDBT 2026 / reviewers in the wild / expert
Andrew W. Leung
dblp:64/2991
· DBLP profile ↗
5ranked-venue papers
4as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 5 · 4 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-author
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
4 papers |
Storage systems · 66% Energy-efficient computing · 20% Performance modeling and evaluation · 11% | |
| Network and information security
1 paper |
Authentication and access control · 100% |
Topics — the 7 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems
backup storage |
0.1 | 1 | 2012 | Power consumption in enterprise-scale backup storage systems · FAST 2012 |
Energy-efficient computing
storage energy consumption |
0.1 | 1 | 2012 | Power consumption in enterprise-scale backup storage systems · FAST 2012 |
Storage systems › file systems
file system workload |
0.1 | 1 | 2008 | Measurement and Analysis of Large-Scale Network File System Workloads · USENIX ATC 2008 |
Storage systems › file systems › distributed file system
network file system |
0.1 | 1 | 2008 | Measurement and Analysis of Large-Scale Network File System Workloads · USENIX ATC 2008 |
Performance modeling and evaluation
workload characterization |
0.1 | 1 | 2008 | Measurement and Analysis of Large-Scale Network File System Workloads · USENIX ATC 2008 |
Authentication and access control › access control models
capability-based access control |
0.1 | 1 | 2007 | Scalable security for petascale parallel file systems · SC 2007 |
Storage systems › file systems › distributed file system
parallel file system |
0.1 | 1 | 2007 | Scalable security for petascale parallel file systems · SC 2007 |
Methods — techniques the papers use, named apart from their topics
protocol design · 0.1performance evaluation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Power consumption in enterprise-scale backup storage systems
Kevin M. Greenan, Andrew W. Leung, Erez Zadok |
FAST | 3 |
| 2009 | Spyglass: Fast, Scalable Metadata Search for Large-Scale Storage Systems
Andrew W. Leung, Minglong Shao, Timothy Bisson, Shankar Pasupathy, Ethan L. Miller |
FAST | 1 |
| 2008 | Measurement and Analysis of Large-Scale Network File System Workloads
Andrew W. Leung, Shankar Pasupathy, Garth R. Goodson, Ethan L. Miller |
USENIX ATC | 1 |
| 2007 | Using Comprehensive Analysis for Performance Debugging in Distributed Storage Systems
Andrew W. Leung, Eric Lalonde, Jacob Telleen, James Davis 0001, Carlos Maltzahn |
MSST | 1 |
| 2007 | Scalable security for petascale parallel file systemsabstractPetascale, high-performance file systems often hold sensitive data and thus require security, but authentication and authorization can dramatically reduce performance. Existing security solutions perform poorly in these environments because they cannot scale with the number of nodes, highly distributed data, and demanding workloads. To address these issues, we developed Maat, a security protocol designed to provide strong, scalable security to these systems. Maat introduces three new techniques. Extended capabilities limit the number of capabilities needed by allowing a capability to authorize I/O for any number of client-file pairs. Automatic Revocation uses short capability lifetimes to allow capability expiration to act as global revocation, while supporting non-revoked capability renewal. Secure Delegation allows clients to securely act on behalf of a group to open files and distribute access, facilitating secure joint computations. Experiments on the Maat prototype in the Ceph petascale file system show an overhead as little as 6--7%. Andrew W. Leung, Ethan L. Miller, Stephanie N. Jones |
SC | 1 |