EDBT 2026 Demo / reviewers in the wild / expert
Leelanivas Manoj
dblp:85/547
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Graphics, computer vision, multimedia, augmented reality and games · 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.
| Computer networks
1 paper |
Transport protocols and congestion control · 91% Content delivery and video streaming · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Transport protocols and congestion control › transport protocols
multicast transport |
0.0 | 1 | 1993 | Optimistic Strategies for Large-Scale Dissemination of Multimedia Information · ACM Multimedia 1993 |
Transport protocols and congestion control
rate-based flow control |
0.0 | 1 | 1993 | Optimistic Strategies for Large-Scale Dissemination of Multimedia Information · ACM Multimedia 1993 |
Transport protocols and congestion control
transport protocols |
0.0 | 1 | 1993 | Optimistic Strategies for Large-Scale Dissemination of Multimedia Information · ACM Multimedia 1993 |
Content delivery and video streaming › video multicast
multimedia multicast |
0.0 | 1 | 1993 | Optimistic Strategies for Large-Scale Dissemination of Multimedia Information · ACM Multimedia 1993 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | End-to-end approach to large-scale multimedia dissemination
Raj Yavatkar, Leelanivas Manoj |
Comput. Commun. | 2 |
| 1993 | Optimistic Strategies for Large-Scale Dissemination of Multimedia InformationabstractWe are investigating alternative transport protocol strategies for realizing large scale dissemination services across a wide area network. Communication requirements of such applications are distinct from those based on conventional client-server interactions. Conventional flow and error control methods based on the retransmissions-with-timeout paradigm are not appropriate for such applications. Instead, we are interested in using optimistic flow and error control strategies that take into account application-specific error tolerance and media rates of multimedia applications. This paper describes transport level policies that use a combination of redundant transmissions, rate-based flow control, and selective feedback from receivers. A simulation-based performance evaluation demonstrates that relatively simple techniques succeed well in meeting the QOS requirements of a multimedia multicast and in scaling to hundreds of recipients. 1 Introduction Our research is motivated by the co... Raj Yavatkar, Leelanivas Manoj |
ACM Multimedia | 2 |