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Titel:

Fine-grained Network Traffic Prediction from Coarse Data

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Rusek, Krzysztof; Drton, Mathias
Abstract:
ICT systems provide detailed information on computer network traffic. However, due to storage limitations, some of the information on past traffic is often only retained in an aggregated form. In this paper we show that Linear Gaussian State Space Models yield simple yet effective methods to make predictions based on time series at different aggregation levels. The models link coarse-grained and fine-grained time series to a single model that is able to provide fine-grained predictions. Our nume...     »
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
Austrian Journal of Statistics
Jahr:
2023
Band / Volume:
52
Jahr / Monat:
2023-07
Quartal:
3. Quartal
Monat:
Jul
Heft / Issue:
3
Seitenangaben Beitrag:
114-123
Sprache:
en
Volltext / DOI:
doi:10.17713/ajs.v52i3.1471
Verlag / Institution:
Austrian Statistical Society
E-ISSN:
1026-597X
Publikationsdatum:
18.07.2023
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