On the Distribution of Traffic Volumes in the Internet and its Implications
- Submitting institution
-
University of Sussex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 334868_80551
- Type
- E - Conference contribution
- DOI
-
10.1109/INFOCOM.2019.8737483
- Title of conference / published proceedings
- IEEE INFOCOM 2019 - IEEE Conference on Computer Communications
- First page
- 955
- Volume
- -
- Issue
- -
- ISSN
- 2641-9874
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2019
- URL
-
https://doi.org/10.1109/INFOCOM.2019.8737483
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is one of the most comprehensive studies on Internet traffic, unique in the spatial and temporal diversity of the studied Internet traces. Rigorous statistical analysis revealed that the log-normal distribution is the best fit for Internet traffic volume. The work has major impacts on network traffic models, SLA provisioning and 95th-percentile pricing for ISPs. The work was published (reviewed in the top 5% amongst 1464 papers [1]) at INFOCOM, the flagship IEEE networks conference (19th in impact across computer science – 1st in computer networks [2]) and has a follow-up journal paper in IEEE/ACM ToN.
contact: infocom2019.chairs@gmail.com
http://www.guide2research.com/topconf/
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -