Name
Abstract | ||
|---|---|---|
YouTube relies on a massively distributed content delivery network (CDN) to stream the billions of videos in its catalog. Unfortunately, very little information about the design of such CDN is available. This, combined with the pervasiveness of YouTube, poses a big challenge for Internet service providers (ISPs), which are compelled to optimize end-users' quality of experience (QoE) while having a... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TCCN.2016.2517004 | IEEE Transactions on Cognitive Communications and Networking |
Keywords | Field | DocType |
YouTube,Videos,Monitoring,Google,Measurement,Algorithm design and analysis,Probes | Content delivery network,Anomaly detection,World Wide Web,Algorithm design,Cache,Computer science,Computer network,Quality of experience,Cluster analysis,Snapshot (computer storage),Big data | Journal |
Volume | Issue | Citations |
1 | 2 | 4 |
PageRank | References | Authors |
0.41 | 21 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danilo Giordano | 1 | 58 | 11.97 |
| Stefano Traverso | 2 | 241 | 18.97 |
| Luigi Grimaudo | 3 | 68 | 7.86 |
| Marco Mellia | 4 | 2748 | 204.65 |
| Elena Baralis | 5 | 1319 | 186.33 |
| Alok Tongaonkar | 6 | 241 | 14.88 |
| Sabyasachi Saha | 7 | 165 | 17.74 |