Difference between revisions of "Resources"

From NMSL
Line 86: Line 86:
 
* '''nsl''':  Lab web and file server. Has about 1 TB of (RAID) storage.
 
* '''nsl''':  Lab web and file server. Has about 1 TB of (RAID) storage.
  
* '''nsl-cpu''': 8-core server. We use it to run simulations and large-scale experiments.  
+
* '''nsl-cpu''': 8-core server, 8 GB memory. We use it to run simulations and large-scale experiments.  
  
 
* '''nsl-win''': Windows Terminal Server for remote access. It has most of the needed Microsoft software.  
 
* '''nsl-win''': Windows Terminal Server for remote access. It has most of the needed Microsoft software.  

Revision as of 12:11, 25 March 2008

Technical Reading and Writing

  • How to Read a Paper, By S. Keshav, ACM SIGCOMM Computer Communications Review, 37(3):83--84, July 2007.


Latex Tutorials and Templates


Matlab Tutorials


Networking and Multimedia Courses Taught by NSL Professors


Video Library and Tools


Random Thoughts (Login Required)


Hardware/Computing Resources in NSL

The figure below depicts the computing resources available in the Network Systems Lab.



File:Nsl.jpg



Brief Description and Usage:

  • nsl: Lab web and file server. Has about 1 TB of (RAID) storage.
  • nsl-cpu: 8-core server, 8 GB memory. We use it to run simulations and large-scale experiments.
  • nsl-win: Windows Terminal Server for remote access. It has most of the needed Microsoft software.
  • nsl-cl: 11 machines interconnected through a fast Ethernet switch. They can be configured in different topologies to test our code. They could form an isolated network for experimentation. They also can be used for general processing such as running multiple replicas of a simulation code.
  • PlanetLab WAN Testbed: Access to several hundred machines distributed all over the Internet. We use them for testing our systems in WAN environments.
  • Wireless Sensor Testbed: For implementing and testing our protocols in the wireless sensor networks research area.
  • Workstations: For use by students.


These computing resources are partially funded by an NSERC RTI Grant.