Performance Analysis of HSRP in Provisioning Layer-3 Gateway Redundancy for Corporate Networks

Ravikumar, C. V.; Srikanth, Y. M.; Sairam, P.; Sundeep, M.; Bagadi, Kala Praveen; Annepu, Visalakshi

doi:10.17485/ijst/2016/v9i20/89851

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…Dengan bertambahnya pengguna jaringan internet saat ini jika hanya memiliki satu router, apabila router tersebut mengalami gangguan (down), maka internet tidak akan bisa digunakan. Untuk menanggulangi permasalahan yang ada, maka dapat diterapkan konsep metode HSRP (Hot Standby Router Protocol), yaitu suatu metode dimana terdapat satu active link yang berguna sebagai link utama untuk melanjutkan packet dan satu standby link yang berguna sebagai backup link untuk melanjutkan packet ketika link utama mengalami gangguan dan apabila link utama kembali normal, maka backup link tersebut akan kembali menjadi standby (tidak aktif) [1]- [2].…”

Section: Pendahuluanunclassified

Perancangan Backup Link Menggunakan Metode HSRP (Hot Standby Router Protocol) Dalam Penyediaan Layer-3 Redundansi

Geraldi

Wahyuddin

Aningsih

2020

mib

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With the increase of internet user today, if it only has one router, when the router experiencing a network failure, then the internet cannot be used. To overcome this problem, the HSRP (Hot Standby Router Protocol) method by creating one active link and one backup link has been applied in the previous research. In this research will be applying the HSRP, VTP (Vlan Trunking Protocol), InterVLAN, and VLAN (Virtual Local Area Network) as a comparison. The testing parameter in this research will be using packet loss and throughput. From the result of testing that has been done, it shows that by applying the HSRP method, it gives a network availability with the packet loss of only 0,32%, and throughput of 1,159Mb/s (95,58%) from using 100 PC.

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Section: Pendahuluanunclassified

Perancangan Backup Link Menggunakan Metode HSRP (Hot Standby Router Protocol) Dalam Penyediaan Layer-3 Redundansi

Geraldi

Wahyuddin

Aningsih

2020

mib

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“…As we see in Table 1 when we sent first set of packets it is taking more time because first the destination is not available in CEF table so it builds when we first try to reach any destination and then uses that to forward packets so it take less time [5].…”

Section: Verificationmentioning

confidence: 99%

Architecture for MPLS L3 VPN Deployment in Service Provider Network

Cv¹,

Dhanumjayulu²,

Bagubali³

et al. 2017

J Telecommun Syst Manage

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“…As a result, the system is able to run at a near‐optimal level with fewer computations. As a powerful and well‐known reduction technique, LLL evaluates the new equivalent channel matrix with an average polynomial time complexity (M. D. Imaudin et al., 2020; C. V. Ravikumar & K. P Bagadi, 2016a, 2016b, 2017a, 2017b, 2017c; C. V. Ravikumar & K. C. Saranya, 2016a, 2016b) among several LR algorithms. However, the LR pre‐coding approach requires that the CSI is known at the transmitter.…”

Section: Introductionmentioning

confidence: 99%

Precoded Large Scale Multi‐User‐MIMO System Using Likelihood Ascent Search for Signal Detection

Bagadi

Alibakhshikenari

et al. 2022

Radio Science

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Multiple antennas at each user equipment (UE) and/or thousands of antennas at the base station (BS) comprise the extremely spectrum efficient large scale multi‐user multiple input multiple output system (BS). Due to space constraints, the closely spaced numerous antennas at each UE may cause inter antenna interference (IAI). Furthermore, when one UE comes into contact with another UE in the same cellular network, multi‐user interference (MUI) may be introduced to the received signal. To mitigate IAI, efficient precoding pre‐coding is necessary at each UE, and the MUI present at the BS can be canceled by efficient Multi‐user Detection (MUD) techniques. The majority of earlier literature deal with one or more of these interferences. This paper implements a joint pre‐coding and MUD, Lenstra‐Lovasz (LLL) based Lattice Reduction (LR) assisted likelihood accent search (LAS) (LLL‐LR‐LAS), to mitigate IAI and MUI simultaneously LLL‐based LR pre‐coding mitigates IAI at each UE, and the LAS algorithm is a neighborhood search‐based MUD that cancels BS MUI. The proposed approaches' performance was evaluated using Bit Error Rate analysis, and their complexity were determined using multiplication and addition.

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Performance Analysis of HSRP in Provisioning Layer-3 Gateway Redundancy for Corporate Networks

Cited by 8 publications

References 5 publications

Perancangan Backup Link Menggunakan Metode HSRP (Hot Standby Router Protocol) Dalam Penyediaan Layer-3 Redundansi

Perancangan Backup Link Menggunakan Metode HSRP (Hot Standby Router Protocol) Dalam Penyediaan Layer-3 Redundansi

Architecture for MPLS L3 VPN Deployment in Service Provider Network

Precoded Large Scale Multi‐User‐MIMO System Using Likelihood Ascent Search for Signal Detection

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