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Aravind V. R

dblp:249/5624 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2023
0000-0003-1819-9612ORCID · reported

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

Computer networks · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

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 networks
1 paper
Content delivery and video streaming · 100%
Theoretical computer science
1 paper
Information theory · 50% Computational complexity · 50%

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

TopicWeightPapersLastEvidence papers
Content delivery and video streaming
caching
0.612022
Lifting Constructions of PDAs for Coded Caching With Linear Subpacketization · IEEE Trans. Commun. 2022
Content delivery and video streaming › caching
coded caching
0.612022
Lifting Constructions of PDAs for Coded Caching With Linear Subpacketization · IEEE Trans. Commun. 2022
Computational complexity › query complexity
lifting theorems
0.612022
Lifting Constructions of PDAs for Coded Caching With Linear Subpacketization · IEEE Trans. Commun. 2022
Information theory › network information theory › caching network › coded caching
placement delivery array
0.612022
Lifting Constructions of PDAs for Coded Caching With Linear Subpacketization · IEEE Trans. Commun. 2022
Content delivery and video streaming › caching › coded caching
subpacketization
0.212022
Lifting Constructions of PDAs for Coded Caching With Linear Subpacketization · IEEE Trans. Commun. 2022

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

placement delivery array · 1.1blackburn-compatibility · 1.1
YearPublicationVenuePosition
2023 Generalizations and Extensions to Lifting Constructions for Coded Caching
abstract
Coded caching is a technique for achieving increased throughput in cached networks during peak hours. Placement delivery arrays (PDAs) capture both placement and delivery scheme requirements in coded caching in a single array. Lifting is a method of constructing PDAs, where entries in a small base PDA are replaced with constituent PDAs that satisfy a property called Blackburn-compatibility. We propose two new constructions for Blackburn-compatible PDAs including a novel method for lifting Blackburn-compatible PDAs to obtain new sets of Blackburn-compatible PDAs. Both of these constructions improve upon previous tradeoffs between rate, memory and subpacketization. We generalize lifting constructions by defining partial Blackburn-compatibility between two PDAs w.r.t. a third PDA. This is a wider notion of Blackburn-compatibility making the original definition a special case. We show that some popular coded caching schemes can be defined as lifting constructions in terms of this extended notion.
Aravind V. R, Pradeep Kiran Sarvepalli, Andrew Thangaraj
ISIT1
2022 Lifting Constructions of PDAs for Coded Caching With Linear Subpacketization
abstract
Coded caching is a technique where multicasting and coding opportunities are utilized to achieve better rate-memory tradeoff in cached networks. A crucial parameter in coded caching is subpacketization, which is the number of parts a file is to be split into for coding purposes. The Maddah-Ali-Niesen scheme has order-optimal rate, but the subpacketization is exponential in the number of users for certain memory regimes. In contrast, coded caching schemes designed using placement delivery arrays (PDAs) can have linear subpacketization with a penalty in rate. In this work, we propose several constructions of efficient PDAs through lifting, where a base PDA is expanded by replacing each entry by another PDA. By proposing and using the notion of Blackburn-compatibility of PDAs, we provide multiple lifting constructions with increasing coding gains. We compare the constructed coded caching schemes with other existing schemes for moderately high number of users and show that the proposed constructions are versatile and achieve a good rate-memory tradeoff at low subpacketizations.
Aravind V. R, Pradeep Kiran Sarvepalli, Andrew Thangaraj
IEEE Trans. Commun.1