Tight Analysis of Priority Queuing for Egress Traffic

Kawahara, Jun; Kobayashi, Katsuhei; Maeda, Takuya

doi:10.1007/978-3-319-12691-3_34

Cited by 4 publications

(4 citation statements)

References 30 publications

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“…The current best lower and upper bounds for the non-preemptive case are ln(α) + 1 [7] and 2 ln(α) + 4 [9], respectively, and those for the preemptive case are e e−1 ≈ 1.581 [4] and 3 − 1/α [21], respectively. Al-Bawani and Souza [2] and Kawahara et al [22] studied the m-value model where arriving packets have one of m fixed values α 1 , . .…”

Section: Related Resultsmentioning

confidence: 99%

Competitive buffer management for multi-queue switches in QoS networks using packet buffering algorithms

Kobayashi

Miyazaki

Okabe

2017

Theoretical Computer Science

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In this paper, we consider the online buffer management problem, which formulates the problem of managing network switches supporting Quality of Service guarantee. We improve competitive ratios of the 2-value multi-queue switch model, where the value of a packet is restricted to 1 or α(≥ 1). We use a similar approach as Azar and Richter (STOC 2003 and Algorithmica 43(1-2), 2005) did for the multi-value multi-queue switch model. Namely, we show that the competitive ratio of "the relaxed model" of the 2-value multi-queue switch model is at most x = min{c + 2−c α(2−c)+c−1 , cα}, if the competitive ratio of an online algorithm for the unit-value multi-queue switch model is at most c. Azar and Richter's technique implies that if the competitive ratio of the 2-value single-queue switch model is x ′ , then the competitive ratio of the 2-value multi-queue switch model is at most xx ′. We obtain several results using known c and x ′ .

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Section: Related Resultsmentioning

confidence: 99%

Competitive buffer management for multi-queue switches in QoS networks using packet buffering algorithms

Kobayashi

Miyazaki

Okabe

2017

Theoretical Computer Science

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“…The individual policer only affects packets on a physical interface (i.e., SVI/port). Furthermore, if more than one type of traffic needs to be classified, it is possible to create more ACLs, class maps, and policy maps [12]. In our experiments, three types of traffic (TCP, UDP, and ICMP) were classified using ACL, class map, and policy map methods.…”

Section: Ivqos Classification and Policy Methodsmentioning

confidence: 99%

A Novel Architecture for Network Intrusion Detection and Prevention

Latha¹,

Pradeep²,

Mohammad³

2022

IJSREM

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This paper affords an investigation, regarding experiments, which suggests that modern-day network intrusion, detection, and prevention systems (NIDPSs) have numerous shortcomings in detecting or stopping growing undesirable traffic and feature numerous threats in high-pace environments. It suggests that the NIDPS overall performance may be vulnerable withinside the face of high-pace and high-load malicious traffic in phrases of packet drops, high-quality packets without analysis, and failing to detect/save you undesirable traffic. A novel exceptional of service (QoS) structure has been designed to growth the intrusion detection and prevention overall performance. Our studies have proposed and evaluated an answer the usage of a unique QoS configuration in a multi-layer transfer to arrange packets/ traffic and parallel strategies to growth the packet processing pace. The new structure turned into examined below extraordinary traffic speeds, types, and tasks. The experimental consequences display that the structure improves the community and protection overall performance that is can cowl up to eight Gb/s with zero packets dropped. This paper additionally suggests that this number (8Gb/s) may be improved, however it relies upon at the gadget ability that is constantly limited. Keywords: Security, intrusion, prevention, Dynamic Anomaly, Network Attacks, Computer security, computer networks,

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“…The packet at the head of the selected buffer is then transmitted to the inside at the switch and via the egress buffer to the target system. There are some formulations that model the entire switch rather than just one interface [24]. For example: a switch consists of m ingress and n egress interfaces, where each interface has buffer.…”

Section: ) Qos Buffer Reservation For Ingress Egress Interfaces (Quementioning

confidence: 99%

A New Architecture for Network Intrusion Detection and Prevention

2019

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This paper presents an investigation, involving experiments, which shows that current network intrusion, detection, and prevention systems (NIDPSs) have several shortcomings in detecting or preventing rising unwanted traffic and have several threats in high-speed environments. It shows that the NIDPS performance can be weak in the face of high-speed and high-load malicious traffic in terms of packet drops, outstanding packets without analysis, and failing to detect/prevent unwanted traffic. A novel quality of service (QoS) architecture has been designed to increase the intrusion detection and prevention performance. Our research has proposed and evaluated a solution using a novel QoS configuration in a multi-layer switch to organize packets/traffic and parallel techniques to increase the packet processing speed. The new architecture was tested under different traffic speeds, types, and tasks. The experimental results show that the architecture improves the network and security performance which is can cover up to 8 Gb/s with 0 packets dropped. This paper also shows that this number (8Gb/s) can be improved, but it depends on the system capacity which is always limited.

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Tight Analysis of Priority Queuing for Egress Traffic

Cited by 4 publications

References 30 publications

Competitive buffer management for multi-queue switches in QoS networks using packet buffering algorithms

Competitive buffer management for multi-queue switches in QoS networks using packet buffering algorithms

A Novel Architecture for Network Intrusion Detection and Prevention

A New Architecture for Network Intrusion Detection and Prevention

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