The Fluid Flow Approximation of the TCP Vegas and Reno Congestion Control Mechanism

Domański, Adam; Domańska, Joanna; Pagano, Michele; Czachórski, Tadeusz

doi:10.1007/978-3-319-47217-1_21

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…Domanski, Adam, et al was used fluid flow approximation to investigate the performance of the TCP NewReno and Vegas congestion control mechanisms on CWND evolution, packet loss probability, queue length, and its variability. In this method, TCP Vegas provide fair service than Reno [3]. There is another paper which presents a comparison of TCP variants for Congestion Control in the network.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Evaluation of TCP Vegas over TCP Reno and TCP NewReno over TCP Reno

Chowdhury

Alam

2019

JOIV : Int. J. Inform. Visualization

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In the Transport layer, there are two types of Internet Protocol are worked, namely-Transmission Control Protocol (TCP) and User datagram protocol (UDP). TCP provides connection-oriented service and it can handle congestion control, flow control, and error detection whereas UDP does not provide any of service. TCP has several congestion control mechanisms such as TCP Reno, TCP Vegas, TCP New Reno, TCP Tahoe, etc. In this paper, we have focused on the behavior performance between TCP Reno and TCP Vegas, TCP New Reno over TCP Reno, when they share the same bottleneck link at the router. For instigating this situation, we used drop-tail and RED algorithm at the router and used NS-2 simulator for simulation. From the simulation results, we have observed that the performance of TCP Reno and TCP Vegas is different in two cases. In drop tail algorithm, TCP Reno achieves better Performance and throughput and act more an aggressive than Vegas. In Random Early Detection (RED) algorithm, both of congestion control mechanism provides better fair service when they coexist at the same link. TCP NewReno provides better performance than TCP Reno.

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Section: Literature Reviewmentioning

confidence: 99%

Performance Evaluation of TCP Vegas over TCP Reno and TCP NewReno over TCP Reno

Chowdhury

Alam

2019

JOIV : Int. J. Inform. Visualization

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“…SerIoT has adopted an agile, trans-disciplinary requirement engineering, modelling and design methodology, which includes the following aspects: (i) End-user and stakeholder requirements engineering and refinement, (ii) Architecture and system analysis and refinement [7][8][9]17], (iii) IoT-related research and innovation to implement the architecture, (iv) Prototype technical development and integration plus testing, (v) Creating pilot examples in large-scale business oriented applications (OASA and DT), (vi) Multi-level performance evaluation and end-user validation acceptance based on the fulfillment of Key Performance Indicators (KPI), and (vii) Lessons learned and concrete efforts towards standardization and market take-up of SerIoT results. It is therefore crucial for the successful outcome of the SerIoT project that a clear well-structured methodology be used.…”

Section: Overall Approach For Seriotmentioning

confidence: 99%

Research and Innovation Action for the Security of the Internet of Things: The SerIoT Project

Domańska

Gelenbe

Czachórski

et al. 2018

Communications in Computer and Information Science

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The Internet of Things (IoT) was born in the mid 2010's, when the threshold of connecting more objects than people to the Internet, was crossed. Thus, attacks and threats on the content and quality of service of the IoT platforms can have economic, energetic and physical security consequences that go way beyond the traditional Internet's lack of security, and way beyond the threats posed by attacks to mobile telephony. Thus, this paper describes the H2020 project "Secure and Safe Internet of Things" (SerIoT) which will optimize the information security in IoT platforms and networks in a holistic, cross-layered manner (i.e. IoT platforms and devices, honeypots, SDN routers and operator's controller) in order to offer a secure SerIoT platform that can be used to implement secure IoT platforms and networks anywhere and everywhere.

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“…Rather than, it can identify the existence of incipient network congestion earlier comparedwith other TCP variants by analysing the rate of transmission in accordance to the deviation in estimated RTTs. TCP-Vegas dynamically increases/ decreases size of its transmitting window according to observed RTTs of sending packets, whereas other TCP variants just keep expanding its window size until packet loss is recognised (Ahuja et al, 2000;Al-Zubi et al, 2014;Al Islamand Raghunathan, 2015;Domański et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Dynamic TCP-Vegas based on cuckoo search for efficient congestion control for MANET

Sunitha¹,

Nagaraju

Narsimha

2017

IJSISE

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In the internet congestion control, transmission control protocol (TCP)-Vegas is a source algorithm that provides better performance. However, it has two main issues: first one is rerouting and unable to identify updation of round-trip time (RTT) when changes occurred in the network, these two problems leads to affects the performance of Vegas. These drawbacks persist mostly in the Vegas estimation process of the propagation delay, i.e. BaseRTT. In this paper, we proposed a novel algorithm that uses the cuckoo search optimisation algorithm for selecting the optimal value of BaseRTT. Also, our proposed algorithm has dynamically considered slow start algorithm based on the estimation in real time, the available bandwidth and adjust decrease/ increase rate in congestion avoidance phase for a particular network environment. Simulation results have shown that our proposed algorithm can effectively avoid packet losses and attain the maximum throughput when compared with existing algorithms.

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The Fluid Flow Approximation of the TCP Vegas and Reno Congestion Control Mechanism

Cited by 8 publications

References 15 publications

Performance Evaluation of TCP Vegas over TCP Reno and TCP NewReno over TCP Reno

Performance Evaluation of TCP Vegas over TCP Reno and TCP NewReno over TCP Reno

Research and Innovation Action for the Security of the Internet of Things: The SerIoT Project

Dynamic TCP-Vegas based on cuckoo search for efficient congestion control for MANET

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