Demo Data from EDBT 2026 / reviewers in the wild / expert
Vegard Holmedahl
dblp:97/5228
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 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
1 paper |
Memory systems · 56% Cloud and datacenter computing · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › cache management › storage caching
cooperative caching |
0.0 | 1 | 1998 | Cooperative Caching of Dynamic Content on a Distributed Web Server · HPDC 1998 |
Cloud and datacenter computing › datacenter services › online service systems › internet services
distributed web server |
0.0 | 1 | 1998 | Cooperative Caching of Dynamic Content on a Distributed Web Server · HPDC 1998 |
Memory systems
cache management |
0.0 | 1 | 1998 | Cooperative Caching of Dynamic Content on a Distributed Web Server · HPDC 1998 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Cooperative Caching of Dynamic Content on a Distributed Web ServerabstractWe propose a new method for improving the average response time of Web servers by cooperatively caching the results of requests for dynamic content. The work is motivated by our recent study of access logs from the Alexandria Digital Library server at UCSB, which demonstrates that approximately a 30 percent decrease in average response time could be achieved by caching dynamically generated content. We have developed a distributed Web server called Swala, in which the nodes cooperatively cache the results of CGI requests, and the cache meta-data is stored in a replicated global cache directory. Our experiments show that the single-node performance of Swala without caching is comparable to the Netscape Enterprise server, that considerable speedups are obtained using caching, and that the cache hit ratio is substantially higher with cooperative cache than with stand-alone cache. Vegard Holmedahl, Ben Smith, Tao Yang 0009 |
HPDC | 1 |