scholarly journals A Journey from End Systems to Backbone Routers: A Virtual Lab Environment for Online Computer Networking Courses

2021 ◽  
Author(s):  
Zhaohong Wang ◽  
Jing Guo
Keyword(s):  
Computer Networking ◽  
Virtual Lab

scholarly journals Implementing Cloud Based Virtual Computer Network Labs for Online Education: Experiences from a Phased Approach

2016 ◽  
Vol 12 (03) ◽  
pp. 70 ◽  
Author(s):  
Gokhan Gercek ◽  
Naveed Saleem ◽  
Douglas Steel
Keyword(s):  
Online Education ◽  
Computer Network ◽  
Virtual Network ◽  
Computer Networking ◽  
It Services ◽  
Political Sciences ◽  
Online Mode ◽  
Virtual Lab ◽  
Brick And Mortar ◽  
On Line

On-line instruction rather easily accommodates courses in some fields such as history, sociology, business administration and political sciences. However, it poses significant challenges for courses in technical fields that require hands-on experimentation. Courses in computer networking area constitute such an example. Given the demand for on-line courses and the trend for migration to online mode, there is a need to devise strategies that would allow students to conduct computing experiments remotely. Virtualization is a rapidly evolving technology that provides opportunities for online computer education. Through virtualization tools, it is possible to convert brick-and-mortar labs into virtual network labs. Using online virtual network lab tools, students may build, troubleshoot and test networks using their personal computers and, thereby, eliminate the commute to the labs. Cloud technology, another rapidly growing field, can help an organization achieve significant savings in IT services and infrastructure costs, as well as enhance IT support for organizational operations. Confluence of cloud and virtualization technologies present new opportunities for online education. However, there are significant issues to surmount in order to apply these technologies to computing-related courses and in particular to online computer networking courses. This paper presents experiences gained from transforming a traditional computer lab into an online virtual domain at the authors' university. The network lab described in this paper is utilized mostly for graduate computer networking, network security and wireless networking courses. The phased approach depicted in this paper should help academic institutions gain insights into technical and operational challenges in building and operating an online virtual lab.

Pengaruh Pembelajaran Daring Berbantuan Laboratorium Virtual Terhadap Minat dan Hasil Belajar Kognitif Fisika

2020 ◽  
Vol 3 (2) ◽  
pp. 351-359
Author(s):  
Egidius Dewa ◽  
Maria Ursula Jawa Mukin ◽  
Oktavina Pandango
Keyword(s):  
Online Learning ◽  
Learning Outcomes ◽  
Random Sampling ◽  
Cognitive Learning ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Virtual Labs ◽  
A Value ◽  
Virtual Lab ◽  
Learning Interest

Abstrak: Tulisan ini bertujuan untuk mengetahui pengaruh pembelajaran daring berbantuan laboratorium virtual terhadap minat belajar fisika peserta didik dan mengetahui pengaruh pembelajaran daring berbantuan laboratorium virtual terhadap hasil belajar kognitif fisika peserta didik. Jenis penelitian ini adalah quasi eksperimen dengan desain eksperimen one group pretest posttest. Sampel penelitian ini adalah peserta didik kelas X MIPA 1 yang berjumlah 33 orang yang ditentukan dengan teknik simple random sampling. Instrumen yang digunakan dalam penelitian ini adalah tes hasil belajar kognitif dan angket minat belajar peserta didik. Hasil analisis data dapat disimpulkan bahwa ada pengaruh pembelajaran daring berbantuan laboratorium virtual terhadap minat belajar peserta didik dengan nilai sig (2-tailed) lebih kecil dari 0,05 (0,0063 < 0,05) dan ada pengaruh pembelajaran daring berbantuan laboratorium virtual terhadap hasil belajar kognitif peserta didik dengan nilai sig (2-tailed)  lebih kecil dari 0,05 (0,000 < 0,05) Abstract: This article aims to determine the influence of online learning with virtual labs on the learning interest of students ' physics and to know the influence of online learning with virtual labs on cognitive learning outcomes of student physics. This type of research is a quasi experiment with the experimental design of one group Pretests posttest. This research sample is a student of class X MIPA 1 which amounted 33 people determined with simple random sampling technique. The instruments used in this study are cognitive learning results test and Angket learning interest learners. Data analysis results can be concluded that there is a virtual lab-assisted online learning influence to the learning interest of learners with a value of sig (2-tailed) smaller than 0.05 (0.0063 < 0.05) and there is a virtual lab-assisted online learning influence to the outcome of the students ' cognitive learning with a sig (2-tailed) value smaller than 0.05 (0.000 < 0.05).

The promise of a virtual lab in drug discovery

2006 ◽  
Vol 11 (5-6) ◽  
pp. 228-236 ◽  
Author(s):  
Han Rauwerda ◽  
Marco Roos ◽  
Bob O. Hertzberger ◽  
Timo M. Breit
Keyword(s):  
Drug Discovery ◽  
Virtual Lab

Regional Climate Model Inter-Comparison for Antarctica within a Data Science Framework

2021 ◽  
Author(s):  
Jeremy Carter ◽  
Amber Leeson ◽  
Andrew Orr ◽  
Christoph Kittel ◽  
Melchior van Wessem
Keyword(s):  
Regional Climate Model ◽  
Climate Models ◽  
Climate Model ◽  
Regional Climate ◽  
Regional Climate Models ◽  
Future Climate Change ◽  
Near Surface ◽  
Virtual Lab ◽  
Model Variability ◽  
The Antarctic

&lt;p&gt;Understanding the surface climatology of the Antarctic ice sheet is essential if we are to adequately predict its response to future climate change. This includes both primary impacts such as increased ice melting and secondary impacts such as ice shelf collapse events. Given its size, and inhospitable environment, weather stations on Antarctica are sparse. Thus, we rely on regional climate models to 1) develop our understanding of how the climate of Antarctica varies in both time and space and 2) provide data to use as context for remote sensing studies and forcing for dynamical process models. Given that there are a number of different regional climate models available that explicitly simulate Antarctic climate, understanding inter- and intra model variability is important.&lt;/p&gt;&lt;p&gt;Here, inter- and intra-model variability in Antarctic-wide regional climate model output is assessed for: snowfall; rainfall; snowmelt and near-surface air temperature within a cloud-based virtual lab framework. State-of-the-art regional climate model runs from the Antarctic-CORDEX project using the RACMO, MAR and MetUM models are used, together with the ERA5 and ERA-Interim reanalyses products. Multiple simulations using the same model and domain boundary but run at either different spatial resolutions or with different driving data are used. Traditional analysis techniques are exploited and the question of potential added value from more modern and involved methods such as the use of Gaussian Processes is investigated. The advantages of using a virtual lab in a cloud based environment for increasing transparency and reproducibility, are demonstrated, with a view to ultimately make the code and methods used widely available for other research groups.&lt;/p&gt;

Sign in / Sign up

Export Citation Format

Share Document