Virtual computing allows users to access powerful and expensive applications from inside and outside of the library's physical location. Rather than waiting for the library to open to be able to use SAS or STATA, you can use those applications from the comfort of your own home.
At UNC, there currently are two options for virtual computing: vcl.unc.edu and Virtuallab.unc.edu. Each option has pros and cons. Vcl.unc.edu is available easily on campus campus or through VPN if off campus, handles large datasets, allows access of local files, but is time limited. Virtuallab.unc.edu is available anywhere (on or off campus) for unlimited time, allows access of local files, but does not handle large datasets well. Select the best option to suit your needs.
|How do I access it||http://virtuallab.unc.edu||http://vcl.unc.edu|
|Available on campus||
Remember to be connected to the
UNC-Secure or UNC-PSK networks
(See how to do this)
|Available off campus||Requires connecting through
VPN (see ITS's page for more information)
|Ideal for large datasets|
|Access files on your computer|
One option is virtuallab.unc.edu. This service runs a virtual application on the local computer, be it a computer at the library or your personal computer from the comfort of your own home. Once you've logged in to virtuallab with your Onyen and password, you may have to install the Citrix plugin, which works for both PC and Mac. Now navigate to the application that you want to use. Most of the statistical applications are in the aptly named folder Statistical Applications. Or you could alternatively just search for the application name using the search box in the top right side of the screen.
While the application is loading, you ought to get a few pop-ups requesting permission for the application to access your local files. They will look like this:
This step is necessary for you to be able to save the work you do in the application. If you do not permit the application all access, you will not be able to save the work that you've done.
When you have the application loaded, there are a few things to keep in mind:
If you're unable to connect to vcl.unc.edu while on campus, check to see if you're connected to either the UNC-Secure or UNC-PSK wireless networks. If you are connected to UNC-Guest, you will encounter problems. If you are connected to UNC Guest, you can connect to the other networks by first connecting to UNC-Setup, going to uncsecure.unc.edu and following the steps outlined there.
Your other option is vcl.unc.edu. This service connects you to another computer which has the application you want to use locally installed. This service too can be access anywhere so long as you have a valid Onyen and an internet connection. Once you've logged on using the Shibboleth (UNC-Chapel Hill) option with your Onyen and password, you need to create a new reservation by clicking on the New Reservation link.
Now you need to find the particular computer that has the application(s) that you need to use. Some of the descriptions are prefixed with brackets which makes scrolling through the list a bit of a chore, but the computers are labeled with the software packages that they have installed, however obliquely.
Then designate how long you want the reservation for. When your reservation runs out, that's it. So be sure to save your work before your reservation runs out. Wait until your reservation becomes available, click connect and then download the RDP file. After opening the RDP file to connect to remote desktop into the computer, you will have to enter a different password than your Onyen and that will be displayed at the same page where you get the RDP file.
You can load and save datasets and files from the local computer, but it's slightly different than with virtuallab.unc.edu. When you go to open/save the file, after clicking on the Computer icon, you will see the local drives listed. In this example, they are labeled C on HSL097 and so on. See image to the right.
Since you are running the program on the computer that you are remotely connected to, the processing power and/or memory of your local computer isn't the limiting factor so this ought to eliminate or mitigate the lag that you may experience when performing work on larger datasets.