ACM Home Page
Please provide us with feedback. Feedback
Teaching experiences with a virtual network laboratory
Full text PdfPdf (317 KB)
Source Technical Symposium on Computer Science Education archive
Proceedings of the 38th SIGCSE technical symposium on Computer science education table of contents
Covington, Kentucky, USA
SESSION: Security and networks table of contents
Pages: 481 - 485  
Year of Publication: 2007
ISBN:1-59593-361-1
Also published in ...
Authors
Ken Wong  Washington University in St. Louis, St. Louis, MO
Tilman Wolf  University of Massachusetts, Amherst, MA
Sergey Gorinsky  Washington University in St. Louis, St. Louis, MO
Jonathan Turner  Washington University in St. Louis, St. Louis, MO
Sponsors
SIGCSE: ACM Special Interest Group on Computer Science Education
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 16,   Downloads (12 Months): 61,   Citation Count: 3
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1227310.1227473
What is a DOI?

ABSTRACT

The Open Network Laboratory (ONL) is an Internet-accessible virtual laboratory facility that can deliver a high quality laboratory experience in advanced networking [3,7]. Our experience with ONL indicates that it has potential to improve student understanding of fundamental networking concepts and increase enthusiasm for experimentation with complex technology. Furthermore, these benefits can be delivered with less effort from the instructor than using a traditional approach of socket programming and ns-2 simulation exercises. The system is built around a set of high-performance, extendible routers which connect personal computers acting as end systems. Users configure their virtual network through the Remote Laboratory Interface (RLI), an intuitive graphical interface. The RLI's real-time charts and user data facility make it easy to directly view the effect of system parameters on traffic behavior. These features can enhance learning by providing users with multiple representations of network phenomena. We describe how the ONL facilities have improved our ability to meet instructional objectives and discuss some approaches to improving the laboratory experience.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Benjamin S. Bloom, et. al. (Ed.), "Taxonomy of Educational Objectives," New York: David McKay Company Inc, c1956--1964.
 
2
J. Confrey and A. Maloney (in press), "A Theory of Mathematical Modeling in Technological Settings," in Applications and Modeling in Mathematics Education, edited by W. Blum and H. Henn, Springer, 2006.
3
 
4
E. W. Ernst, "A New Role for the Undergraduate Engineering Laboratory," IEEE Trans. On Education, Vol. E-26, No. 2, May 1983, pp. 49--51.
 
5
 
6
Titus Winters and Tom Payne, What Do Students Know?, Proc. First Intl. Computing Education Research Workshop (ICER05), 2005.
 
7
Open Network Laboratory, http://www.arl.wustl.edu.
 
8
The Network Simulator ns-2, http://www.isi.edu/nsnam/ns/


Collaborative Colleagues:
Ken Wong: colleagues
Tilman Wolf: colleagues
Sergey Gorinsky: colleagues
Jonathan Turner: colleagues