Demo Data from VLDB 2026 / reviewers in the wild / expert
Siddhartha Annapureddy
dblp:50/2151
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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
2 papers |
Content delivery and video streaming · 82% Internet architecture and protocols · 14% Network optimization and economics · 4% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 56% Memory systems · 44% |
Topics — the 10 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Content delivery and video streaming
video-on-demand |
0.1 | 2 | 2007 | Is high-quality vod feasible using P2P swarming? · WWW 2007 Exploring VoD in P2P Swarming Systems · INFOCOM 2007 |
Content delivery and video streaming › peer-to-peer streaming
mesh-based streaming |
0.1 | 1 | 2007 | Is high-quality vod feasible using P2P swarming? · WWW 2007 |
Internet architecture and protocols
network coding |
0.1 | 1 | 2007 | Exploring VoD in P2P Swarming Systems · INFOCOM 2007 |
Content delivery and video streaming › peer-to-peer streaming
peer-to-peer live streaming |
0.1 | 1 | 2007 | Exploring VoD in P2P Swarming Systems · INFOCOM 2007 |
Content delivery and video streaming › video-on-demand
peer-to-peer video-on-demand |
0.1 | 1 | 2007 | Is high-quality vod feasible using P2P swarming? · WWW 2007 |
Content delivery and video streaming
quality of experience |
0.1 | 1 | 2007 | Is high-quality vod feasible using P2P swarming? · WWW 2007 |
Memory systems › cache management › storage caching
cooperative caching |
0.1 | 1 | 2005 | Shark: Scaling File Servers via Cooperative Caching · NSDI 2005 |
Storage systems
file systems |
0.1 | 1 | 2005 | Shark: Scaling File Servers via Cooperative Caching · NSDI 2005 |
Network optimization and economics
resource allocation |
0.0 | 1 | 2007 | Is high-quality vod feasible using P2P swarming? · WWW 2007 |
Storage systems › file systems › distributed file system
file server scaling |
0.0 | 1 | 2005 | Shark: Scaling File Servers via Cooperative Caching · NSDI 2005 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.1prototype implementation · 0.1overlay topology management · 0.1network coding · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Exploring VoD in P2P Swarming SystemsabstractDigital media companies have recently started embracing P2P networks as an alternative distribution mechanism. However, with current P2P swarming systems users need to download the full video, and hence have to wait a long time before they can start watching it. While a lot of effort has gone into optimizing the distribution of large files, little research has been done on enabling Video-on-Demand (VoD) functionality with P2P swarming systems. The main challenges reside in ensuring that users can start watching a movie at any point in time, with small start-up times and sustainable playback rates. In this work, we address the issues of providing VoD using P2P mesh-based networks. We investigate scheduling techniques, and network coding in particular. Using both simulations and a prototype implementation, we show that high-quality VoD is feasible, and give guidelines to build play-as-you-download P2P swarming systems with high playback rates and low start-up delays. Siddhartha Annapureddy, Saikat Guha 0002, Christos Gkantsidis, Dinan Gunawardena, Pablo Rodriguez 0001 |
INFOCOM | 1 |
| 2007 | Is high-quality vod feasible using P2P swarming?abstractPeer-to-peer technologies are increasingly becoming the medium of choice for delivering media content, both professional and homegrown, to large user populations. Indeed, current P2P swarming systems have been shown to be very efficient for large-scale content distribution with few server resources. However, such systems have been designed for generic file distribution and provide a limited user experience for viewing media content. For example, users need to wait to download the full video before they can start watching it. In general, the main challenge resides in designing systems that ensure that users can start watching a movie at any point in time, with small start-up times and sustainable playback rates. In this work, we address the issues of providing a Video-on-Demand (VoD) using P2P mesh-based networks. We show that providing high quality VoD using P2P is feasible using a combination of techniques including (a) network coding, (b) optimized resource allocation across different parts of the video, and (c) overlay topology management algorithms. Our evaluation also shows that systems that do not optimize in all these dimensions could significantly under-utilize the network resources resulting in poor VoD performance. We present our results based on simulations and a prototype implementation. Categories and Subject Descriptors Siddhartha Annapureddy, Saikat Guha 0002, Christos Gkantsidis, Dinan Gunawardena, Pablo Rodriguez 0001 |
WWW | 1 |
| 2005 | Shark: Scaling File Servers via Cooperative Caching
Siddhartha Annapureddy, Michael J. Freedman, David Mazières |
NSDI | 1 |