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Adrian Waterworth

dblp:08/3747 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 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 · 91% Embedded and real-time systems · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
fault tolerance		 0.011991
Using Objects and Actions to Provide Fault Tolerance in Distributed, Real-Time Applications · RTSS 1991
Distributed systems › fault tolerance
fault-tolerant real-time systems		 0.011991
Using Objects and Actions to Provide Fault Tolerance in Distributed, Real-Time Applications · RTSS 1991
Distributed systems
replication		 0.011991
Using Objects and Actions to Provide Fault Tolerance in Distributed, Real-Time Applications · RTSS 1991
Embedded and real-time systems
distributed real-time systems		 0.011991
Using Objects and Actions to Provide Fault Tolerance in Distributed, Real-Time Applications · RTSS 1991

Methods — techniques the papers use, named apart from their topics

exception handling · 0.0atomic transactions · 0.0active replication · 0.0
YearPublicationVenuePosition
1991 Using Objects and Actions to Provide Fault Tolerance in Distributed, Real-Time Applications
abstract
An object-oriented model is developed for structuring distributed real-time applications. Atomic atoms (atomic transactions) and exception handling techniques are used to introduce fault tolerance. Additional techniques are then developed to permit application and device specific commit and abort processing. Objects can be replicated to increase their availability. The authors examine the reasons why some of the previous real-time object models are not suitable for active replication and why the model proposed represents an improvement. Realistic examples are used to illustrate the practical utility of the approach.>
Santosh K. Shrivastava, Adrian Waterworth
 RTSS2