Demo Data from SIGIR 2026 / reviewers in the wild / expert
Darshan Purandare
dblp:42/2526
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-authorGraphics, 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 networks
1 paper |
Content delivery and video streaming · 44% Internet architecture and protocols · 44% Network performance modeling · 13% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols › overlay networks
overlay topology |
0.1 | 1 | 2007 | An Alliance Based Peering Scheme for P2P Live Media Streaming · IEEE Trans. Multim. 2007 |
Content delivery and video streaming › peer-to-peer streaming
peer-to-peer live streaming |
0.1 | 1 | 2007 | An Alliance Based Peering Scheme for P2P Live Media Streaming · IEEE Trans. Multim. 2007 |
Distributed systems › peer-to-peer systems › churn
churn resilience |
0.0 | 1 | 2007 | An Alliance Based Peering Scheme for P2P Live Media Streaming · IEEE Trans. Multim. 2007 |
Distributed systems
peer-to-peer systems |
0.0 | 1 | 2007 | An Alliance Based Peering Scheme for P2P Live Media Streaming · IEEE Trans. Multim. 2007 |
Methods — techniques the papers use, named apart from their topics
small-world network modeling · 0.1simulation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | An Alliance Based Peering Scheme for P2P Live Media StreamingabstractWhile recent measurement studies have shown the effectiveness of P2P network in media streaming, there have been questions raised about the quality of service (QoS), reliability of streaming services and sub optimal uplink utilization in particular. P2P streaming systems are inherently less reliable because of churn, internet dynamics, node heterogeneity and randomness in the swarm. We present a new model for P2P media streaming based on clustering of peers, called alliances. We show that alliance formation is a loosely coupled and an effective way to organize the peers. We show that our model maps to a ldquosmall-worldrdquo network, which form efficient overlay structures and are robust to network perturbations such as churn. We present a comparative simulation based study of our model with CoolStreaming/DONet and present a quantitative performance evaluation. Simulation results are promising and show that our model scales well under varying workloads and conditions, delivers near optimal levels of QoS, and for most cases, performs at par or even better than CoolStreaming/DONet. Darshan Purandare, Ratan K. Guha |
IEEE Trans. Multim. | 1 |
| 2006 | BEAM: An Efficient Peer to Peer Media Streaming FrameworkabstractIn this paper, we present a swarm based peer to peer media streaming model. In our approach, nodes that serve the maximum content to their peers have a higher utility to the swarm and become candidates for direct relay of stream from the media server. This reward forms a natural incentive for the nodes to contribute to the swarm. Nodes cluster into small groups, called alliances, for a symbiotic association. Alliance members must exchange pieces to have the complete packet. This policy dissuades non-cooperating members in an alliance from their selfish behavior. We study our model using a simulator and present some initial results Darshan Purandare, Ratan K. Guha |
LCN | 1 |