CESNET TS-Zoo: A Library for Reproducible Analysis of Network Traffic Time Series
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F25%3A10133871" target="_blank" >RIV/63839172:_____/25:10133871 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/25:00386911
Result on the web
<a href="http://dx.doi.org/10.23919/CNSM67658.2025.11297513" target="_blank" >http://dx.doi.org/10.23919/CNSM67658.2025.11297513</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/CNSM67658.2025.11297513" target="_blank" >10.23919/CNSM67658.2025.11297513</a>
Alternative languages
Result language
angličtina
Original language name
CESNET TS-Zoo: A Library for Reproducible Analysis of Network Traffic Time Series
Original language description
Time Series Analysis (TSA) is an essential tool in computer networking, supporting tasks such as traffic forecasting, capacity planning, load balancing, quality of service monitoring, behavior profiling, and anomaly detection. Despite its widespread use, the community was limited by the lack of sufficient datasets. Our recent dataset, CESNET-TimeSeries24, finally fills this gap. However, its substantial size presents significant challenges for practical use in research. Therefore, inspired by the other machine learning communities that often develop supportive tools and benchmarks to accelerate research, we introduced a CESNET TS-Zoo library. It is designed to streamline dataset management, experiment setting, and reproducibility in the TSA of network traffic. TS-Zoo provides a standardized API for accessing the CESNET-TimeSeries24 dataset and includes methods for time series preprocessing, multiple dataset partitioning, and data loading for experiments. Furthermore, the preprocessing steps can be exported and imported, enabling reproducible experiments. Therefore, the TS-Zoo library simplifies TSA experiments and enables reproducibility of TSA research applied in computer networking
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2025 21st International Conference on Network and Service Management (CNSM)
ISBN
978-3-903176-75-1
ISSN
2165-963X
e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
Bologna, Italy
Event location
Bologna, Italy
Event date
Oct 27, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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