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Darshan Purandare

dblp:42/2526 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Internet architecture and protocols › overlay networks
overlay topology
0.112007
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
0.112007
An Alliance Based Peering Scheme for P2P Live Media Streaming · IEEE Trans. Multim. 2007
Distributed systems › peer-to-peer systems › churn
churn resilience
0.012007
An Alliance Based Peering Scheme for P2P Live Media Streaming · IEEE Trans. Multim. 2007
Distributed systems
peer-to-peer systems
0.012007
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
YearPublicationVenuePosition
2007 An Alliance Based Peering Scheme for P2P Live Media Streaming
abstract
While 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 Framework
abstract
In 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
LCN1