The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
An analysis of live streaming workloads on the internet
Abstract
In this paper, we study the live streaming workload from a large content delivery network. Our data, collected over a 3 month period, contains over 70 million requests for 5,000 distinct URLs from clients in over 200 countries. To our knowledge, this is the most extensive data of live streaming on the Internet that has been studied to date. Our contributions are two-fold. First, we present a macroscopic analysis of the workload, characterizing popularity, arrival process, session duration, and transport protocol use. Our results show that popularity follows a 2-mode Zipf distribution, session interarrivals within small time-windows are exponential, session durations are heavy-tailed, and that UDP is far from having universal reach on the Internet. Second, we cover two additional characteristics that are more specific to the nature of live streaming applications: the diversity of clients in comparison to traditional broadcast media like radio and TV, and the phenomena that many clients regularly join recurring events. We find that Internet streaming does reach a wide audience, often spanning hundreds of AS domains and tens of countries. More interesting is that small streams also have a diverse audience. We also find that recurring users often have lifetimes of at least as long as one-third of the days in the event.
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Cites
Web caching and Zipf-like distributions: evidence and implications
Breslau, L., Cao, P., Fan, L., Phillips, G., & Shenker, S. (1999) · IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320) · doi:10.1109/infcom.1999.749260 · Cited by 3,467
Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
Gummadi, K. P., Dunn, R. J., Saroiu, S., Gribble, S. D., Levy, H. M., & Zahorjan, J. (2003) · ACM SIGOPS Operating Systems Review · doi:10.1145/1165389.945475 · Cited by 818
Distributing streaming media content using cooperative networking
Padmanabhan, V. N., Wang, H. J., Chou, P. A., & Sripanidkulchai, K. (2002) · Proceedings of the 12th international workshop on Network and operating systems support for digital audio and video · doi:10.1145/507670.507695 · Cited by 809
Self-citationCharacteristics of WWW Client-based Traces
Cunha, C. R., Azer Bestavros, C., & Crovella, M. E. (1995) · Cited by 526
Characterizing reference locality in the WWW
Almeida, V., Bestavros, A., Crovella, M., & de Oliveira, A. (2002) · Fourth International Conference on Parallel and Distributed Information Systems · doi:10.1109/pdis.1996.568672 · Cited by 464
Multicast routing in internetworks and extended LANs
Deering, S. E. (1995) · ACM SIGCOMM Computer Communication Review · doi:10.1145/205447.205457 · Cited by 425
On network-aware clustering of Web clients
Krishnamurthy, B., & Wang, J. (2000) · ACM SIGCOMM Computer Communication Review · doi:10.1145/347057.347412 · Cited by 370
A caching relay for the World Wide Web
Glassman, S. (1994) · Computer Networks and ISDN Systems · doi:10.1016/0169-7552(94)90130-9 · Cited by 292
Measurement and analysis of a streaming-media workload
Chesire, M., Wolman, A., Voelker, G. M., & Levy, H. M. (2001) · USENIX Symposium on Internet Technologies and Systems · Cited by 269
Sripanidkulchai, K., Ganjam, A., Maggs, B., & Zhang, H. (2004) · Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications · doi:10.1145/1015467.1015480 · Cited by 268
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Cited by
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Gill, P., Arlitt, M., Li, Z., & Mahanti, A. (2007) · Proceedings of the 7th ACM SIGCOMM conference on Internet measurement · doi:10.1145/1298306.1298310 · Cited by 852
A Measurement Study of a Large-Scale P2P IPTV System
Hei, X., Liang, C., Liang, J., Liu, Y., & Ross, K. W. (2007) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2007.907451 · Cited by 851
Adaptive Bitrate Selection: A Survey
Sani, Y., Mauthe, A., & Edwards, C. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2725241 · Cited by 121
Metadata
- Authors
- Sripanidkulchai, K., Maggs, B., & Zhang, H.
- Venue
- Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
- Publisher
- ACM
- Published
- 2004-10-25
- Pages
- 41-54
- OpenAlex
- W2106020190
- Cited by
- 317
- References
- 15
- FWCI
- 10.63
- Type
- conference paper
- Language
- en
- Open access
- closed
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