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Anurag Chaudhry

dblp:35/2879 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorComputer networks · 1Databases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 50% High-performance computing · 50%
Databases, data mining, and information retrieval
1 paper
Indexing and storage engines · 100%

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

TopicWeightPapersLastEvidence papers
Indexing and storage engines
temporal indexing
0.011994
Declustering Techniques for Parallelizing Temporal Access Structures · ICDE 1994
Storage systems › declustering
disk declustering
0.011994
Declustering Techniques for Parallelizing Temporal Access Structures · ICDE 1994
High-performance computing
parallel i/o
0.011994
Declustering Techniques for Parallelizing Temporal Access Structures · ICDE 1994

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

multi-level round robin · 0.0disk partition techniques · 0.0
YearPublicationVenuePosition
2009 Multicast capacity of multi-channel multihop wireless networks
abstract
This paper considers multihop wireless networks that are used for multicast traffic i.e., networks in which subsets of users are interested in identical information such as a video clipping. We calculate an upper bound on the achievable throughput per multicast flow as a function of the number of sources, number of destinations per source, number of interfaces per node, and the number of channels available. Then we propose a methodology that achieves the upper bound in an order sense under certain circumstances. We study the impact of the ratio of the number of channels to number of interfaces per node on the multicast capacity region of wireless networks.
Vishwanath Ramamurthi, Sree Krishna Chaitanya Vadrevu, Anurag Chaudhry, Manav R. Bhatnagar
WCNC3
1994 Declustering Techniques for Parallelizing Temporal Access Structures
abstract
This paper addresses the issues of declustering temporal index and access structures for a single processor multiple independent disk architecture. The temporal index is the Monotonic B/sup +/-Tree which uses the time index temporal access structure. We devise a new algorithm, called multi-level round robin, for assigning tree nodes to multiple disks. The multi-level round robin declustering technique takes advantage of the append-only nature of temporal databases to achieve uniform load distribution, decrease response time, and increase the fanout of the tree by eliminating the need to store disk numbers within the tree nodes. We propose two declustering techniques for the time index access structures; one considers only time proximity while declustering, whereas the other considers both time proximity and data size. We investigate their performance over different types of temporal queries and show that various temporal queries have conflicting allocation criteria for the time index buckets. In addition, we devise two disk partition techniques for the time index buckets. The mutually exclusive technique partitions the disks into disjoint groups, whereas the shared disk technique allows the different types of buckets to share all disks.>
Vram Kouramajian, Ramez Elmasri, Anurag Chaudhry
ICDE3
1994 An Empirical Approach to Solving the General Utility Problem in Speedup Learning
Anurag Chaudhry, Lawrence B. Holder
IEA/AIE1