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Nick C. Buchholz

dblp:32/4865 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Distributed systems › fault tolerance
failure recovery
0.011989
Preserving and Using Context Information in Interprocess Communication · ACM Trans. Comput. Syst. 1989
Distributed systems
fault tolerance
0.011989
Preserving and Using Context Information in Interprocess Communication · ACM Trans. Comput. Syst. 1989
Distributed systems › operating system support
interprocess communication
0.011989
Preserving and Using Context Information in Interprocess Communication · ACM Trans. Comput. Syst. 1989
Distributed systems › distributed coordination
message ordering
0.011989
Preserving and Using Context Information in Interprocess Communication · ACM Trans. Comput. Syst. 1989
Combinatorics and discrete mathematics
partial orders
0.011989
Preserving and Using Context Information in Interprocess Communication · ACM Trans. Comput. Syst. 1989
YearPublicationVenuePosition
1989 Preserving and Using Context Information in Interprocess Communication
abstract
When 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