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Ajit K. Patankar

dblp:21/5251 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2003
—ORCID · none

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

Software engineering, systems software and programming languages · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
1 paper
Distributed and cloud data management · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › distributed object systems
object migration		 0.011996
A Directory Service for a Federation of CIM Databases with Migrating Objects · ICDE 1996
Distributed and cloud data management
federated database		 0.011996
A Directory Service for a Federation of CIM Databases with Migrating Objects · ICDE 1996

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

stochastic dynamic programming · 0.0distributed linear hashing · 0.0
YearPublicationVenuePosition
2003 Web Services and BPEL4WS for Dynamic eBusiness Negotiation Processes
Jin Baek Kim, Arie Segev, Ajit K. Patankar, Min Gi Cho
 ICWS3
2003 Inter-Organizational Business Process Management Using Web Services - A Case Study and Research Issues
Ajit K. Patankar, Arie Segev
 ICWS1
1996 A Directory Service for a Federation of CIM Databases with Migrating Objects
abstract
We propose a novel directory scheme for a large federation of databases where object migration is in response to manufacturing events. In our directory scheme, objects report their location to a directory server instead of the traditional method of the directory servers polling sites in the network. The directory is distributed among multiple servers to avoid bottlenecks during query processing. A distributed linear hashing algorithm is proposed for efficiently determining an appropriate server for an object. Finally, a stochastic dynamic programming model is proposed for minimizing the number of database transactions.
Ajit K. Patankar, Arie Segev, J. George Shanthikumar
 ICDE1