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Mark G. Matthews

dblp:97/3659 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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

Software engineering, systems software and programming languages · 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
2 papers
Distributed systems · 100%
Software engineering, system software, and programming languages
2 papers
Requirements engineering and software design · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
software architecture
0.022000
Systematic Generation of Dependable Change Coordination Plans for Automated Switching of Coordination Policies · ASE 2000
NAVCo: Negotiation-based Adaptive View Coordination · ASE 1999
Distributed systems
distributed coordination
0.011999
NAVCo: Negotiation-based Adaptive View Coordination · ASE 1999
Distributed systems
distributed information systems
0.011999
NAVCo: Negotiation-based Adaptive View Coordination · ASE 1999

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

plan generation · 0.1negotiation · 0.0
YearPublicationVenuePosition
2000 An Agent Mediated Approach to Dynamic Change in Coordination Policies
Prasanta K. Bose, Mark G. Matthews
COORDINATION2
2000 Systematic Generation of Dependable Change Coordination Plans for Automated Switching of Coordination Policies
Prasanta K. Bose, Mark G. Matthews
ASE2
1999 NAVCo: Negotiation-based Adaptive View Coordination
abstract
In mission critical applications of distributed information systems, autonomous information resources are coordinated to meet the information demands of client specific decision-support views. The current approach to view coordination relies on design-time trade-offs to select a static view coordination policy from a set of available policies. This approach is not robust and does not respond well in a dynamic environment with shared infrastructure, and dynamically changing missions, priorities, preferences, and constraints. This paper introduces, NAVCo, a negotiation-based adaptive view coordination approach that allows view coordination policies To be dynamically negotiated and adapted at run-time in response to dynamically changing conditions.
Prasanta K. Bose, Mark G. Matthews
ASE2