Demo Data from VLDB 2026 / reviewers in the wild / expert
K. Bruce Erickson
dblp:75/4479
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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 |
Performance modeling and evaluation · 100% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation › simulation
discrete-event simulation |
0.0 | 1 | 1994 | Optimizing Static Calendar Queues · FOCS 1994 |
Performance modeling and evaluation
simulation |
0.0 | 1 | 1994 | Optimizing Static Calendar Queues · FOCS 1994 |
Algorithms and data structures
priority queues |
0.0 | 1 | 1994 | Optimizing Static Calendar Queues · FOCS 1994 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1994 | Optimizing Static Calendar Queues · FOCS 1994 |
Methods — techniques the papers use, named apart from their topics
optimization · 0.0analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Optimizing Static Calendar QueuesabstractThe calendar queue is an important implementation of a priority queue which is particularly useful in discrete event simulators. In this paper we present an analysis of the static calendar queue which maintains N active events. A step of the discrete event simulator removes and processes the event with the smallest associated time and inserts a new event whose associated time is the time of the removed event plus a random increment with mean /spl mu/. We demonstrate that for the infinite bucket calendar queue the optimal bucket width is approximately /spl delta//sub opt/=/spl radic/(2b/c)/spl mu//N where b is the time to process an empty bucket and c the incremental time to process a list element. With bucket width chosen to be /spl delta//sub opt/, the expected time to process an event is approximately minimized at the constant c+/spl radic/(2bc)+d, where d is the fixed time to process an event. We show that choosing the number of buckets to be O(N) yields a calendar queue with performance equal to or almost equal to the performance of the infinite bucket calendar queue.> K. Bruce Erickson, Richard E. Ladner, Anthony LaMarca |
FOCS | 1 |