Kotcherlakota V. Bapa Rao

dblp:92/4990 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

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

Databases, data management, data science and information retrieval · 3

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% Storage systems · 9%
Databases, data mining, and information retrieval
2 papers
Query processing and optimization · 38% Database theory · 29% Data models and query languages · 25%

Topics — the 7 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › concurrency control
distributed concurrency control
0.011992
A Time-based Distributed Optimistic Recovery and Concurrency Control Mechanism · ICDE 1992
Distributed systems › fault tolerance › failure recovery
distributed recovery
0.011992
A Time-based Distributed Optimistic Recovery and Concurrency Control Mechanism · ICDE 1992
Distributed systems › concurrency control
optimistic concurrency control
0.011992
A Time-based Distributed Optimistic Recovery and Concurrency Control Mechanism · ICDE 1992
Query processing and optimization
cardinality estimation
0.011989
On Estimating the Cardinality of the Projection of a Database Relation · ACM Trans. Database Syst. 1989
Data models and query languages › schema management
schema evolution
0.011988
An Incremental Mechanism for Schema Evolution in Engineering Domains · ICDE 1988
Storage systems › file systems
versioning
0.011992
A Time-based Distributed Optimistic Recovery and Concurrency Control Mechanism · ICDE 1992
Query processing and optimization
query optimization
0.011989
On Estimating the Cardinality of the Projection of a Database Relation · ACM Trans. Database Syst. 1989

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

timewarp mechanism · 0.0analytical formula · 0.0a priori semantic knowledge · 0.0
YearPublicationVenuePosition
1992 A Time-based Distributed Optimistic Recovery and Concurrency Control Mechanism
abstract
The authors describe a time-based approach to distributed concurrency control and recovery that alleviates the high cost of optimistic methods by combining the solutions to concurrency control, recovery management, and localized control into a single flexible yet powerful and efficient mechanism. The approach adapts the object-oriented Timewarp mechanism to handle competing processes rather than the cooperating processes for which it was originally intended. The result is a completely decentralized, nonblocking concurrency and recovery protocol that supports more general features of other desirable aspects of distributed applications, such as versioning and active objects.>
Anat Gafni, Kotcherlakota V. Bapa Rao
ICDE2
1989 On Estimating the Cardinality of the Projection of a Database Relation
abstract
We present an analytical formula for estimating the cardinality of the projection on certain attributes of a subset of a relation in a relational database. This formula takes into account a priori knowledge of the semantics of the real-world objects and relationships that the database is intended to represent. Experimental testing of the formula shows that it has an acceptably low percentage error, and that its worst-case error is smaller than the best-known formula. Furthermore, the formula presented here has the advantage that it does not require a scan of the relation.
Rafiul Ahad, Kotcherlakota V. Bapa Rao, Dennis McLeod
ACM Trans. Database Syst.2
1988 An Incremental Mechanism for Schema Evolution in Engineering Domains
abstract
The authors focus on one class of schema revisions necessitated by a very basic phenomenon: a given individual object evolves into a family of objects which are similar to it in many ways. This is commonly called the version problem. In theoretical terms, one can handle the above schema change in the standard, object-oriented database models by the interposition of suitable abstractions into the existing type lattice. There are practical and engineering difficulties with such schema changes. The authors propose an incremental mechanism called instance inheritance which is well suited to handling the schema changes without the attendant practical costs. The authors formally characterize this augmentation to the standard database models, and show examples of its applications.>
K. Narayanaswamy, Kotcherlakota V. Bapa Rao
ICDE2