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Manibrata Mukherji

dblp:52/4313 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 1998
—ORCID · none

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

Systems, architecture and hardware · 1Theory 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.

Software engineering, system software, and programming languages
1 paper
Runtime systems and virtual machines · 87% Concurrent programming · 13%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

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

TopicWeightPapersLastEvidence papers
Runtime systems and virtual machines › garbage collection
distributed garbage collection
0.011995
Concurrent and Distributed Garbage Collection of Active Objects · IEEE Trans. Parallel Distributed Syst. 1995
Runtime systems and virtual machines
garbage collection
0.011995
Concurrent and Distributed Garbage Collection of Active Objects · IEEE Trans. Parallel Distributed Syst. 1995
Distributed systems › distributed object systems
distributed garbage collection
0.011995
Concurrent and Distributed Garbage Collection of Active Objects · IEEE Trans. Parallel Distributed Syst. 1995
Concurrent programming › concurrency models
active objects
0.011995
Concurrent and Distributed Garbage Collection of Active Objects · IEEE Trans. Parallel Distributed Syst. 1995

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

termination detection · 0.0snapshot algorithm · 0.0
YearPublicationVenuePosition
1998 A Process-Calculus-Based Abstraction for Coordinating Multi-Agent Groups
Manibrata Mukherji, Dennis G. Kafura
Theor. Comput. Sci.1
1996 CCE: A Process-Calculus Based Formalism for Specifying Multi-Object Coordination
Manibrata Mukherji, Dennis G. Kafura
COORDINATION1
1995 Concurrent and Distributed Garbage Collection of Active Objects
abstract
This paper shows how to perform concurrent and distributed automatic garbage collection of objects possessing their own thread of control. The relevance of garbage collection and active objects to distributed applications is briefly discussed and the specific model of active objects used in the paper is explained. The collector is comprised of independent local collectors, one per node, and a distributed global collector. The mutator (application), the local collectors and the global collector run concurrently. An important part of this paper is the detailed presentation of the algorithms necessary to achieve correct concurrent operation among the collectors and between the collectors and the mutator. The collector builds on previous algorithms for taking snapshots in distributed systems and for detecting termination.>
Dennis G. Kafura, Manibrata Mukherji, Douglas Washabaugh
IEEE Trans. Parallel Distributed Syst.2