Demo Data from EDBT 2026 / reviewers in the wild / expert
Timothy McCune
dblp:66/4770
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2
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 · 44% Embedded and real-time systems · 44% Distributed systems · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
cluster resource management and scheduling |
0.0 | 1 | 1998 | Towards a Hierarchical Scheduling System for Distributed WWW Server Clusters · HPDC 1998 |
Embedded and real-time systems › real-time scheduling
hierarchical scheduling |
0.0 | 1 | 1998 | Towards a Hierarchical Scheduling System for Distributed WWW Server Clusters · HPDC 1998 |
Distributed systems › distributed data processing
distributed data access |
0.0 | 1 | 1998 | Towards a Hierarchical Scheduling System for Distributed WWW Server Clusters · HPDC 1998 |
Methods — techniques the papers use, named apart from their topics
workload monitoring and adaptation · 0.0dynamic client-server task distribution · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | H-SWEB: A Hierarchical Scheduling System for Distributed WWW Server ClustersabstractIn this paper we present a model for dynamically scheduling HTTP requests across clusters of servers, optimizing the use of client resources as well as the scattered server nodes. We also present a system, H-SWEB, implementing our techniques and showing experimental improvements of over 250%, which have been achieved through utilizing a global approach to scheduling requests. This is the first system to provide a hierarchical scheduling mechanism for distributed HTTP server clusters incorporating dynamic client–server task distribution and distributed data access. H-SWEB uses sophisticated scheduling techniques in monitoring and adapting to workload variation at the client and server clusters for supporting typical digital library tasks, such as fast WWW image browsing. We provide a discussion of our system architecture and implementation, and briefly summarize the experimental and analytical results that have been achieved. Copyright © 2000 John Wiley & Sons, Ltd. Daniel Andresen, Timothy McCune |
Concurr. Pract. Exp. | 2 |
| 1998 | Towards a Hierarchical Scheduling System for Distributed WWW Server ClustersabstractWe present a model for dynamically scheduling HTTP requests across clusters of servers, optimizing the use of client resources as well as the scattered server nodes. We also present a system, H-SWEB, implementing our techniques and showing experimental improvements of over 250%, which have been achieved through utilizing a global approach to scheduling requests. This is the first system to provide a hierarchical scheduling mechanism for distributed HTTP server clusters incorporating dynamic client-server task distribution and distributed data access. H-SWEB uses sophisticated scheduling techniques in monitoring and adapting to workload variation at the client and server clusters for supporting typical digital library tasks, such as fast WWW image browsing. We provide a discussion of our system architecture and implementation, and briefly summarize the experimental results that have been achieved. Daniel Andresen, Timothy McCune |
HPDC | 2 |