scholarly journals Adaptive Transport Layer Protocols using In-band Network Telemetry and eBPF

2021 ◽  
Author(s):  
Ramyashree Venkatesh Bhat ◽  
Jetmir Haxhibeqiri ◽  
Ingrid Moerman ◽  
Jeroen Hoebeke
Keyword(s):  
Transport Layer ◽  
Transport Layer Protocols

scholarly journals Analisis Perbandingan Kinerja Protokol Transport Layer Pada Lalu Lintas Data VIOP dan IPTV

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Yuza Reswan ◽  
Dedy Agung Prabowo
Keyword(s):  
Transport Layer ◽  
Network Protocol ◽  
Test Time ◽  
Research Approach ◽  
Transport Protocol ◽  
Data Traffic ◽  
Advantages And Disadvantages ◽  
Sharing Time ◽  
Protocol Analyzer ◽  
Transport Layer Protocols

AbstractOne of the use of VOIP and IPTV technology that is increasingly used as a communication application on the internet are video call and video streaming, so when the data required a reliable and fast protocol performance in the process of delivery. The problem of the research is analyzing the performance of layer transport protocol in VOIP and IPTV data traffic. The objective of the research is to know the advantages and disadvantages of VOIP and IPTV data traffic and it is useful to contribute to the development of transport layer protocols in VOIP and IPTV data traffic in the future. This research is conducted independently without related to place and time. This reasearch uses SoftPerfect network Protocol Analyzer software. SoftPerfect network Protocol Analyzer is used to compare the performance of transport layer protocols of TCP, UDP, SCTV based on six parameters using different LAN and Wireless cable, test time, and sharing time. The method used in this research is based on the research approach. The results of this study indicate that SCTV protocol is a protocol that has good performance in VOIP and IPTV data traffic with TCP and UDP protocol.Keywords : Analysis, Performance, TCP, UDP, SCTP, VOIP, IPTV

scholarly journals Development and Verification of Simulation Model Based on Real MANET Experiments for Transport Layer Protocols (UDP and TCP)

2013 ◽  
Vol 10 (1) ◽  
pp. 53-63 ◽  
Author(s):  
Joarder Mohammad Mustafa Kamal ◽  
Mohammad Shahidul Hasan ◽  
Alison L. Griffiths ◽  
Hongnian Yu
Keyword(s):  
Simulation Model ◽  
Transport Layer ◽  
Model Based ◽  
Transport Layer Protocols

Autonomous framework simulation tools for real-time multimedia streaming over wireless ad-hoc networks

SIMULATION ◽  
2019 ◽  
Vol 96 (2) ◽  
pp. 185-197
Author(s):  
Adel A Ahmed ◽  
Omar Barukab
Keyword(s):  
Real Time ◽  
Wireless Network ◽  
Multimedia Streaming ◽  
Transport Layer ◽  
Simulation Tool ◽  
Simulation Tools ◽  
Streaming Applications ◽  
Network Technologies ◽  
Transport Layer Protocols

Real-time video communication has become one of the most significant applications extensively used by homogeneous/heterogeneous wireless network technologies, such as Wi-Fi, the Internet of things, the wireless sensor network (WSN), 5G, etc. This leads to enhanced deployment of multimedia streaming applications over wireless network technologies. In order to accomplish the optimal performance of real-time multimedia streaming applications over the homogeneous/heterogeneous wireless network, it is therefore necessary to develop a simulation tool-set that effectively measures the quality of service (QoS) for different multimedia streaming applications over transport layer protocols. This paper proposes an autonomous simulation tool (AST) that is entirely independent from the source code of transport layer protocols. Furthermore, the AST is integrated into NS-2 to evaluate the QoS of real-time video streaming over numerous transport layer protocols and it uses new QoS measurement tools to test the video delivery quality based on I-frames to speeds up the assessment of multimedia streaming quality and ensure high accuracy of performance metrics. The simulation results show that using the AST to simulate real-time multimedia stream results in between 13% and 36% higher delivery ratio and 150–250% less cumulative jitter delay compared with using baseline simulation tools. Also, the AST guarantees an optimal QoS performance measurements in terms of the peak signal-to-noise Ratio and visual quality of the received video.

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