Demo Data from EDBT 2026 / reviewers in the wild / expert
Adam Wolbach
dblp:77/3935
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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.
| Databases, data mining, and information retrieval
1 paper |
Distributed and cloud data management · 50% Transaction processing and concurrency control · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Transaction processing and concurrency control
consistency |
0.1 | 1 | 2007 | Improving mobile database access over wide-area networks without degrading consistency · MobiSys 2007 |
Distributed and cloud data management › data replication
replica control |
0.1 | 1 | 2007 | Improving mobile database access over wide-area networks without degrading consistency · MobiSys 2007 |
Storage systems
content-addressable storage |
0.0 | 1 | 2007 | Improving mobile database access over wide-area networks without degrading consistency · MobiSys 2007 |
Storage systems › data reduction
data deduplication |
0.0 | 1 | 2007 | Improving mobile database access over wide-area networks without degrading consistency · MobiSys 2007 |
Methods — techniques the papers use, named apart from their topics
optimistic replica control · 0.1content addressable storage · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Improving mobile database access over wide-area networks without degrading consistencyabstractWe report on the design, implementation, and evaluation of a system called Cedar that enables mobile database access with good performance over low-bandwidth networks. This is accomplished without degrading consistency. Cedar exploits the disk storage and processing power of a mobile client to compensate for weak connectivity. Its central organizing principle is that even a stale client replica can be used to reduce data transmission volume from a database server. The reduction is achieved by using content addressable storage to discover and elide commonality between client and server results. This organizing principle allows Cedar to use an optimistic approach to solving the difficult problem of database replica control. For laptop-class clients, our experiments show that Cedar improves the throughput of read-write workloads by 39% to as much as 224% while reducing response time by 28% to as much as 79%. Niraj Tolia, Mahadev Satyanarayanan, Adam Wolbach |
MobiSys | 3 |