scholarly journals PERFORMANCE COMPARISON OF THE DIFFERENT STREAMS IN A TCP BOTTLENECK LINK IN THE PRESENCE OF BACKGROUND TRAFFIC IN A DATA CENTER

2017 ◽  
Vol 5 ◽  
pp. 1233-1240
Author(s):  
Vilma Tomço ◽  
Aleksandër Xhuvani
Keyword(s):  
Network Model ◽  
Data Center ◽  
Bandwidth Allocation ◽  
Performance Comparison ◽  
Available Bandwidth ◽  
Real Network ◽  
Background Traffic ◽  
Bottleneck Link ◽  
Almost All ◽  
Tcp Reno

The purpose of this work is the evaluation of the performance of TCP streams when the link that causes a bottleneck is also shared by the background traffic. Standard TCP is the most used protocol which sustains the majority of Internet traffic. Nevertheless, TCP manifests some problems when using almost all of the available bandwidth. Based on these problems, there are recognized different versions of TCP. The aim of this paper is to test the conflict between TCP flows bandwidth allocation. We have implemented a network which includes FTP traffic and background traffic. The TCP flows are simulated so that they begin transmitting at different times. Background traffic is added besides the TCP flows so that we approach a real network model. Besides studying how the TCP flows compete with each other, we will evaluate if the background traffic has an impact on the behavior of TCP flows and if it influences how the available bandwidth is shared equally among flows. We compare standard TCP Tahoe and TCP Reno, which do not differ much between each-other, but use different algorithms so through simulation we will evaluate the changes in the bandwidth they use, even though we expect the TCP flows to be more aggressive in getting bandwidth from other TCP flows.

scholarly journals A bandwidth allocation scheme to improve fairness in data center networks

2016 ◽  
Vol 5 (5) ◽  
pp. 129-134 ◽  
Author(s):  
Yusuke Ito ◽  
Hiroyuki Koga ◽  
Katsuyoshi Iida
Keyword(s):  
Data Center ◽  
Bandwidth Allocation ◽  
Allocation Scheme ◽  
Data Center Networks

scholarly journals Study of Multimedia Delivery over Software Defined Networks

2016 ◽  
Vol 7 (4) ◽  
pp. 37 ◽  
Author(s):  
Jose Miguel Jimenez ◽  
Oscar Romero ◽  
Albert Rego ◽  
Avinash Dilendra ◽  
Jaime Lloret
Keyword(s):  
Artificial Intelligence ◽  
Personal Computer ◽  
Network Protocols ◽  
Performance Comparison ◽  
Distributed Artificial Intelligence ◽  
Software Defined Networks ◽  
Multimedia Delivery ◽  
Real Network ◽  
Multimedia Streams ◽  
The Difference

Software Defined Networks (SDN) have become a new way to make dynamic topologies. They have great potential in both the creation and development of new network protocols and the inclusion of distributed artificial intelligence in the network. There are few emulators, like Mininet, that allow emulating a SDN in a single personal computer, but there is lack of works showing its performance and how it performs compared with real cases. This paper shows a performance comparison between Mininet and a real network when multimedia streams are being delivered. We are going to compare them in terms of consumed bandwidth (throughput), delay and jitter. Our study shows that there are some important differences when these parameters are compared. We hope that this research will be the basis to show the difference with real deployments when Mininet is used.

scholarly journals UNDERGRADUATE STUDENTS’ VIEWS ABOUT EMERGENCY DISTANCE EDUCATION DURING THE COVID-19 PANDEMIC

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Gürhan Durak ◽  
Serkan Çankaya
Keyword(s):  
Distance Education ◽  
University Students ◽  
Undergraduate Students ◽  
Education System ◽  
Diffusion Of Innovations ◽  
Performance Comparison ◽  
Integrated System ◽  
Online Questionnaire ◽  
Almost All ◽  
Distance Education System

With the Covid-19 pandemic, which was effective all over the world in early 2020, emergency distance education applications started. Universities in Turkey also suffered from this situation and quickly started their own distance education applications using their own facilities. Different applications carried out by universities have had different reflections upon education. For example, while some universities provided compulsory live classes, some universities did not. Students are the most important component of this process. In this respect, the purpose of this study was to examine university students' views about emergency distance education during the Covid-19 pandemic. In this qualitatively designed study, 32 students from 4 different universities were asked for their views. An online questionnaire form made up of open-ended questions was used as the data collection tool. The data were analyzed using the content analysis method, and the themes were created. As a result, two of the four universities used the software of Microsoft Teams as a distance education system, while others preferred the software of Moodle and ALMS. It could be said that the students who used Microsoft Teams, which is an integrated system where live lessons can be held, were more satisfied in this process. In addition, the students' views about the distance education system, the positive and negative aspects of the system, live course practices, communication with the instructor, getting feedback, socialization, motivation, academic performance, comparison with traditional teaching, etc. were reported and interpreted within the scope of the theories of Uses and Gratifications and Diffusion of Innovations. It was seen that among the university students almost all of whom were anxious before the distance education, the worries of those who took live lessons and used an integrated system were completely removed. In this respect, within the scope of the distance education system, it could be stated that the elements of live lessons and interaction have great importance for students. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0720/a.php" alt="Hit counter" /></p>

scholarly journals Performance Comparison of Reverse Transcriptases for Single-Cell Studies

2019 ◽  
Vol 66 (1) ◽  
pp. 217-228 ◽  
Author(s):  
Daniel Zucha ◽  
Peter Androvic ◽  
Mikael Kubista ◽  
Lukas Valihrach
Keyword(s):  
Single Cell ◽  
Reverse Transcription ◽  
Cell Model ◽  
Single Cells ◽  
Performance Comparison ◽  
Reaction Yield ◽  
Reverse Transcriptases ◽  
Reverse Transcription Pcr ◽  
Cell Experiment ◽  
Almost All

Abstract BACKGROUND Recent advances allowing quantification of RNA from single cells are revolutionizing biology and medicine. Currently, almost all single-cell transcriptomic protocols rely on reverse transcription (RT). However, RT is recognized as a known source of variability, particularly with low amounts of RNA. Recently, several new reverse transcriptases (RTases) with the potential to decrease the loss of information have been developed, but knowledge of their performance is limited. METHODS We compared the performance of 11 RTases in quantitative reverse transcription PCR (RT-qPCR) on single-cell and 100-cell bulk templates, using 2 priming strategies: a conventional mixture of random hexamers with oligo(dT)s and a reduced concentration of oligo(dT)s mimicking common single-cell RNA-sequencing protocols. Depending on their performance, 2 RTases were further tested in a high-throughput single-cell experiment. RESULTS All tested RTases demonstrated high precision (R2 &gt; 0.9445). The most pronounced differences were found in their ability to capture rare transcripts (0%–90% reaction positivity rate) and in their absolute reaction yield (7.3%–137.9%). RTase performance and reproducibility were compared with Z scores. The 2 best-performing enzymes were Maxima H− and SuperScript IV. The validity of the obtained results was confirmed in a follow-up single-cell model experiment. The better-performing enzyme (Maxima H−) increased the sensitivity of the single-cell experiment and improved resolution in the clustering analysis over the commonly used RTase (SuperScript II). CONCLUSIONS Our comprehensive comparison of 11 RTases in low RNA input conditions identified 2 best-performing enzymes. Our results provide a point of reference for the improvement of current single-cell quantification protocols.

The Network Management Based Multi-Channel Connection Management of MOST

2013 ◽  
Vol 385-386 ◽  
pp. 1604-1609
Author(s):  
Yun Han Chen ◽  
Gui He Qin ◽  
Yang Nan
Keyword(s):  
Network Management ◽  
Data Transmission ◽  
Bandwidth Allocation ◽  
Implementation Strategy ◽  
Reliable Data ◽  
Available Bandwidth ◽  
Connection Management ◽  
Mechanism Model ◽  
Finite State ◽  
Multimedia Resource

In order to provide higher available bandwidth, flexible accessing and shared multimedia resource to the application in Media oriented systems transport (MOST) network. This paper proposed an implementation strategy of MOST network management, which is described by finite state mechanism model, discussed the scheme of multiple synchronous audio or video channel connection (SA/VCC) management. These works give an improved solution for MOST, which supports flexible accessing and reliable data transmission for multimedia devices, provides reasonable bandwidth allocation and shared multimedia resource in synchronous channel in practical.

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