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Shirish Hemant Phatak

dblp:69/5304 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2004
—ORCID · none

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

Computer networks · 1 · 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
Transaction processing and concurrency control · 44% Data integration and cleaning · 44% Distributed and cloud data management · 13%

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

TopicWeightPapersLastEvidence papers
Data integration and cleaning
data reconciliation
0.011999
Multiversion Reconciliation for Mobile Databases · ICDE 1999
Transaction processing and concurrency control › concurrency control
multiversion concurrency control
0.011999
Multiversion Reconciliation for Mobile Databases · ICDE 1999
Distributed and cloud data management › mobile data management
mobile databases
0.011999
Multiversion Reconciliation for Mobile Databases · ICDE 1999
YearPublicationVenuePosition
2004 Transaction-Centric Reconciliation in Disconnected Client-Server Databases
Shirish Hemant Phatak, B. R. Badrinath
Mob. Networks Appl.1
1999 Multiversion Reconciliation for Mobile Databases
abstract
As mobile computing devices become more and more popular mobile databases have started gaining popularity. An important feature of these database systems is their ability to allow optimistic replication of data by permitting disconnected mobile devices to perform local updates on replicated data. The fundamental problem in this approach is the reconciliation problem, i.e. the problem of serializing potentially conflicting updates performed by local transactions on disconnected clients on all copies of the database. We introduce a new algorithm that combines multiversion concurrency control schemes on a server with reconciliation of updates from disconnected clients. The scheme generalizes to multiversion systems, the single version optimistic method of reconciliation, in which client transactions are allowed to commit on the server iff data items in their read sets are not updated on the server after replication.
Shirish Hemant Phatak, B. R. Badrinath
ICDE1