No Detail Found!

Redundancy protocols performance analysis in business networks

Author(s)
Avula Divya Reddy School of Electronics Engineering, Vellore Institute of Technology,Vellore,India
Namineni Sowmya School of Electronics Engineering, Vellore Institute of Technology,Vellore,India
Ravikumar C. V. School of Electronics Engineering, Vellore Institute of Technology,Vellore,India
Abstract
The network's ability to recover from failures is a crucial factor to think about while building the network's design. Service providers, operators, and manufacturers of networking hardware have all committed to meeting or exceeding an availability objective of 99.9999% ("6 nine" availability), which means that a network can experience interruption for no more than 360 seconds each year. Therefore, it is necessary to have two or more gateways connected in a network so that the remaining gateways can take over in the event of a gateway failure. Availability is usually considered the primary goal while constructing a network. Many researchers, however, are still trying to master and create more resilient networks that can withstand significant failovers and high traffic loads. However, there are still many questions that need to be resolved in terms of funding and actual implementation. Because of their central role in the network's connectivity, routers are of paramount importance. If the gateway router goes down, the entire network is rendered inaccessible. The current investigation looks into several aspects of redundancy protocols and proposes multiple perfect solutions that are practical and realistic. The purpose of this research is to compare the effectiveness of the first-hop redundancy protocol enabled Gateway Load Balancing Protocol (FHRP-GLBP) with that of the Hot Standby Router Protocol (HSRP), the Virtual Router Redundancy Protocol (VRRP), and concerning the Quality of Service (QoS) parameters (latency, packet loss, Roundtrip time).
Publication Details
Page(s) 1367-1377
DOI DOI not available
Published Journal: ARPN Journal of Engineering and Applied Sciences, Volume: 19, Issue: 22, Year: 2024

Request the full text from PASTIC

Keywords
gateway, Latency, and roundtrip time, HSRP, VRRP, packet loss, FHRP-GLBP
References
Ravikumar C. V.,Kalapraveen B. .2016 .Robust neural network-based multiuser detector in MCCDMA for multiple access interference mitigation. Indian Journal of Science and Technology, 9 : .
Ravikumar C. V .2019 .Design of MC-CDMA receiver using RBF network to mitigate MAI and nonlinear distortion. Neural Computing and Applications, 31(2) : .
Karthick A. V.,Gopalsamy S.,J. S.,Mukthar Jaheer,Asis K. P.,Sivasubramanian E. R.,K. E. R.,Sustainability. ICEBS E. R. .2023 .(eds) Current Trends in Economics, Business and. Sciences & Innovative Business Technology, (2) : 2.
Mohammed M. N.,Alfiras M.,Alani S.,Sharif A.,Abdulghaffar A.,Tamer F.,H. F. .2023 .. , 3 3 2 30 : .
Bagadi K. .2022 .Detection of Signals in MCCDMA Using a Novel Iterative Block Decision Feedback Equalizer. in IEEE Access, 3211392 : 105674-105684.
Tera S. P. .2024 .CNN-Based Approach for Enhancing 5G LDPC Code Decoding Performance. in IEEE Access, 3420106 : 89873-89886.
Chinthaginjala .2024 .Enhancing handwritten text recognition accuracy with gated mechanisms. Scientific Reports, 14 : 16800.
Koganti Krishna Jyothi .2024 .A novel optimized neural network model for cyber-attack detection using enhanced whale optimization algorithm. Scientific Reports, 14 : 5590.
Chinnusami M. .2023 .Low Complexity Signal Detection for Massive MIMO in B5G Uplink System. in IEEE Access, 3266476 : 91051-91059.
Kaveripakam S.,Chinthaginjala R. .2023 .Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction. PLoS One, 18(9) : e0289306.
Rajesh Anbazhagan .2023 .Structural analysis of nano core PCF with fused cladding for supercontinuum generation in 6G networks. Radio Science, 58 : 1-18.
Ravikumar C. V. .2023 .Developing novel channel estimation and hybrid precoding in millimeter-wave communication systems using heuristic-based deep learning. Energy, 268 : 126600.
Cv R.,Sathish K. .2022 .August. Performance Analysis of Clustered-Based Underwater Wireless Sensor Network by Deploying Application as CBR. In 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), : 1678-1686.
Annepu V. .2022 .Review on Unmanned Aerial Vehicle Assisted Sensor Node Localization in Wireless Networks: Soft Computing Approaches. , 3230661 : 132875-132894.
Mr Yash .2020 .A smart wheelchair for health care systems. International Journal of Electrical Engineering and Technology. 11.4., : .
Mohit .2020 .Investigation of Inter Vlan Routing and Deploying Access Control List for Corporate Network. International Journal of Electrical Engineering and Technology. 11.3., : .
Kumar B . .Secure Data Communication with Cryptography and Steganography. International Journal of Electrical Engineering and Technology, 11(3) : .
Prathyusha M.,Kumar C. R. .2019 .March. A survey paper on debugging tools and frameworks for debugging real-time industrial problems and scenarios. In 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), : 1-4.
CV R. K ,Goyal H.,March. H. .2019 .IPv4 to IPv6 migration and performance analysis using GNS3 and Wireshark. In 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), : 1-6.
Ravikumar C. V.,Venugopal P.,Jagannadha Naidu K.,Koppu S. .2018 .Adaptive cruise control and cooperative cruise control in reallife traffic situations. International Journal of Mechanical Engineering and Technology, 9(13) : 578-585.
0

Citations

0

Downloads

82

Views