Demo Data from EDBT 2026 / reviewers in the wild / expert
Nick C. Buchholz
dblp:32/4865
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1989
—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 |
Distributed systems · 100% | |
| Theoretical computer science
1 paper |
Combinatorics and discrete mathematics · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › fault tolerance
failure recovery |
0.0 | 1 | 1989 | Preserving and Using Context Information in Interprocess Communication · ACM Trans. Comput. Syst. 1989 |
Distributed systems
fault tolerance |
0.0 | 1 | 1989 | Preserving and Using Context Information in Interprocess Communication · ACM Trans. Comput. Syst. 1989 |
Distributed systems › operating system support
interprocess communication |
0.0 | 1 | 1989 | Preserving and Using Context Information in Interprocess Communication · ACM Trans. Comput. Syst. 1989 |
Distributed systems › distributed coordination
message ordering |
0.0 | 1 | 1989 | Preserving and Using Context Information in Interprocess Communication · ACM Trans. Comput. Syst. 1989 |
Combinatorics and discrete mathematics
partial orders |
0.0 | 1 | 1989 | Preserving and Using Context Information in Interprocess Communication · ACM Trans. Comput. Syst. 1989 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Preserving and Using Context Information in Interprocess CommunicationabstractWhen processes in a network communicate, the messages they exchange define a partial ordering of externally visible events. While the significance of this partial order in distributed computing is well understood, it has not been made an explicit part of the communication substrate upon which distributed programs are implemented. This paper describes a new interprocess communication mechanism, called Psync , that explicitly encodes this partial ordering with each message. The paper shows how Psync can be efficiently implemented on an unreliable communications network, and it demonstrates how conversations serve as an elegant foundation for ordering messages exchanged in a distributed computation and for recovering from processor failures. Larry L. Peterson, Nick C. Buchholz, Richard D. Schlichting |
ACM Trans. Comput. Syst. | 2 |