Chander Kant

dblp:90/1788 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0003-1530-0375ORCID · corroborated

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

Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1

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
2 papers
Query processing and optimization · 67% Database system architecture and tuning · 33%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Memory systems · 87% Performance modeling and evaluation · 13%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization › query execution
cache-conscious query processing
0.011994
Cache Conscious Algorithms for Relational Query Processing · VLDB 1994
Query processing and optimization › query execution
relational query processing
0.011994
Cache Conscious Algorithms for Relational Query Processing · VLDB 1994
Memory systems
cache
0.011994
Cache Conscious Algorithms for Relational Query Processing · VLDB 1994
Memory systems › cache
cache-aware algorithm design
0.011994
Cache Conscious Algorithms for Relational Query Processing · VLDB 1994
Performance modeling and evaluation
benchmarking
0.011994
A Status Report on the oo7 OODBMS Benchmarking Effort · OOPSLA 1994
YearPublicationVenuePosition
2014 Building Cost-Effective Storage Clouds
abstract
Many application classes, such as archiving, backup of thousands of nodes in an organization, video sharing, etc., require highly reliable and scalable storage systems. Since it is now feasible to build such storage systems with advanced open source technologies, the challenge becomes how to best utilize those technologies to build and operate such a storage system with optimized cost and performance. The focus of this work is to provide an effective solution and key insights for this challenge within the context of the OpenStack Object Storage (Swift) platform.
Chander Kant
IC2E2
1994 A Status Report on the oo7 OODBMS Benchmarking Effort
abstract
The OO7 Benchmark was first published in 1993, and has since found a home in the marketing literature of various object-oriented database management system (OODBMS) vendors. The OO7 Benchmark (as published) was the initial result of an ongoing OODBMS performance evaluation effort at the University of Wisconsin. This paper provides an update on the status of the effort on two fronts: single-user and multi-user. On the single-user front, we review and critique the design of the initial OO7 Benchmark. We discuss some of its faults, the reasons for those faults, and things that might be done to correct them. On the multi-user front, we describe our current work on the development of a multi-user benchmark for OODBMSs. This effort includes changes and extensions to the OO7 database and the design of a family of interesting multi-user workloads.
Michael J. Carey 0001, David J. DeWitt, Chander Kant, Jeffrey F. Naughton
OOPSLA3
1994 Cache Conscious Algorithms for Relational Query Processing
Ambuj Shatdal, Chander Kant, Jeffrey F. Naughton
VLDB2