Temat: traffic performance - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Influence of Self-Similar Traffic Type on Performance of QoS Routing Algorithms
Autorzy:: Czarkowski, M.
Kaczmarek, S.
Wolff, M.
Powiązania:: https://bibliotekanauki.pl/articles/226877.pdf
Data publikacji:: 2016
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: self-similar traffic
QoS routing
performance
simulation
Opis:: Providing a Quality of Services (QoS) into current telecommunication networks based on packet technology is a big challenge nowadays. Network operators have to support a number of new services like voice or video which generate new type of traffic. This traffic serviced with QoS in consequence requires access to appropriate network resources. Additionally, new traffic type is mixed with older one, like best-effort. Analysis of these new and mixed traffic types shows that this traffic is self-similar. Network mechanisms used for delivery of quality of services may depend on traffic type especially from the performance point of view. This paper presents a feasibility study done into the effect of traffic type influence on performance of routing algorithm while the routing algorithm is treated as one of the mechanisms to support QoS in the network.
Źródło:: International Journal of Electronics and Telecommunications; 2016, 62, 1; 81-87
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: On Implementation of Efficient Inline DDoS Detector Based on AATAC Algorithm
Autorzy:: Wiśniewski, Piotr
Sosnowski, Maciej
Burakowski, Wojciech
Powiązania:: https://bibliotekanauki.pl/articles/2200718.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: DDoS
Distributed Denial of Service
traffic anomaly detection
AATAC
performance
DPDK
Opis:: Distributed Denial of Service (DDoS) attacks constitute a major threat in the current Internet. These cyber-attacks aim to flood the target system with tailored malicious network traffic overwhelming its service capacity and consequently severely limiting legitimate users from using the service. This paper builds on the state-of-the-art AATAC algorithm (Autonomous Algorithm for Traffic Anomaly Detection) and provides a concept of a dedicated inline DDoS detector capable of real-time monitoring of network traffic and near-real-time anomaly detection. The inline DDoS detector consists of two main elements: 1) inline probe(s) responsible for link-rate real-time processing and monitoring of network traffic with custom-built packet feature counters, and 2) an analyser that performs the near-real-time statistical analysis of these counters for anomaly detection. These elements communicate asynchronously via the Redis database, facilitating a wide range of deployment scenarios. The inline probes are based on COTS servers and utilise the DPDK framework (Data Plane Development Kit) and parallel packet processing on multiple CPU cores to achieve link rate traffic analysis, including tailored DPI analysis.
Źródło:: International Journal of Electronics and Telecommunications; 2022, 68, 4; 889--898
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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