scispace - formally typeset
V

Vasanth Rajamani

Researcher at University of Texas at Austin

Publications -  15
Citations -  99

Vasanth Rajamani is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Query optimization & Sargable. The author has an hindex of 8, co-authored 15 publications receiving 98 citations. Previous affiliations of Vasanth Rajamani include LinkedIn & Microsoft.

Papers
More filters
Patent

Scalable coordination aware static partitioning for database replication

TL;DR: Parallel logical replication as mentioned in this paper involves multiple apply threads running on a destination database server applying, in parallel, changes made by source transactions, where the changes of a single source transaction may be applied in parallel by multiple threads.
Patent

Dependency-aware transaction batching for data replication

TL;DR: In this paper, dependency-aware transaction batching for data replication is presented, where the inter-transaction dependency data including at least one intertransact dependency relationship between a plurality of pending transactions is generated.
Proceedings ArticleDOI

Supporting multi-fidelity-aware concurrent applications in dynamic sensor networks

TL;DR: This paper presents a principled way to define the fidelity associated with an application given a particular allocation of the available resources and explores the impact of sharing resources among the applications in terms of fidelity degradation to individual applications.
Journal ArticleDOI

Semantic self-assessment of query results in dynamic environments

TL;DR: A protocol for query processing that automatically assesses and adaptively provides an achievable degree of consistency given the operational environment throughout its execution is proposed.
Book ChapterDOI

Inquiry and Introspection for Non-deterministic Queries in Mobile Networks

TL;DR: This paper introduces the notion of inquiry mode to allow the user to exercise control over the query processing policy so as to match the level of accuracy to the requirements of the task.