EDBT 2026 Demo / reviewers in the wild / expert
Ronald Ollsson
dblp:29/5253
· DBLP profile ↗
1ranked-venue papers
0as 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
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 |
Cloud and datacenter computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
quality of service |
0.0 | 1 | 1998 | Supporting Quality of Service in HTTP Servers · PODC 1998 |
Cloud and datacenter computing
resource allocation |
0.0 | 1 | 1998 | Supporting Quality of Service in HTTP Servers · PODC 1998 |
Cloud and datacenter computing › resource management
server resource management |
0.0 | 1 | 1998 | Supporting Quality of Service in HTTP Servers · PODC 1998 |
Cloud and datacenter computing › datacenter services › online service systems › internet services
web server |
0.0 | 1 | 1998 | Supporting Quality of Service in HTTP Servers · PODC 1998 |
Methods — techniques the papers use, named apart from their topics
prototype implementation · 0.0performance analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Supporting Quality of Service in HTTP ServersabstractMost implementationsof HTTP servers do not distinguish among requests to differeut pages.This has the implicatiou that requests for popular pages have the tendency to overwhelm the requests for other pages.In addition, HTTP servers do not allow a site to specify policies for server resource allocation.This paper presents a notion of wality of service that enables a site to customize how an HTTP server should respond to external requests by setting priorities among page requests and allocating server resources.It also describes a design and an implementation of a distributed HTTP server, QoS Web Server, that enforces the quality of service constraints.The performance aualysis of the prototype server indicates that the server provides the desired quality of service with minimal overhead. Raju Pandey, J. Fritz Barnes, Ronald Ollsson |
PODC | 3 |