Apparently the tutorial suggests to download the ndnSIM scenario template, however, this does not look to be compatible with ndnSIM 2.0 (yet).

The mailing list suggests using the ns-3/scratch/ folder (for now), so here is an example of how to use that folder to run your scenario:

cd ns-3
cd scratch
mv ndn-simple.cpp
cd ..
./waf --run my-ndn-code --vis


UPDATE June 25th: ndn-cxx MUST be compiled as a shared library now, the tutorial is now reflecting this change by executing ./waf configure --enable-shared --disable-static for ndn-cxx

First of all: follow the tutorial provided here:
Second: If you feel comfortable enough, you can copy and paste the commands from this how-to, which will generate the following directory structure:


Third: This tutorial comes without warranty. Double check every command before you copy/paste it to your commandline.

Commands for Ubuntu 14.04:

# install pre-requesits for ndn-cxx, ns-3, etc...
sudo apt-get install git
sudo apt-get install python-dev python-pygraphviz python-kiwi
sudo apt-get install python-pygoocanvas python-gnome2
sudo apt-get install python-rsvg ipython
sudo apt-get install build-essential
sudo apt-get install libsqlite3-dev libcrypto++-dev
sudo apt-get install libboost-all-dev

# install mercurial for BRITE
sudo apt-get install mercurial

mkdir ndnSIM
cd ndnSIM

# clone git repositories for ndn/ndnSIM
git clone ndn-cxx
git clone ns-3
git clone pybindgen
git clone ns-3/src/ndnSIM

# download and built BRITE
hg clone
ls -la
cd ..

# build ndn-cxx
cd ndn-cxx
./waf configure --enable-shared --disable-static
# install ndn-cxx
sudo ./waf install
cd ..

# build ns-3/ndnSIM with brite
cd ns-3
./waf configure -d optimized --with-brite=/home/$USER/ndnSIM/BRITE
sudo ./waf install

Ideally, this outputs:

Modules built:
antenna aodv applications
bridge brite (no Python) buildings
config-store core csma
csma-layout dsdv dsr
emu energy fd-net-device
flow-monitor internet lr-wpan
lte mesh mobility
mpi ndnSIM netanim (no Python)
network nix-vector-routing olsr
point-to-point point-to-point-layout propagation
sixlowpan spectrum stats
tap-bridge test (no Python) topology-read
uan virtual-net-device visualizer
wave wifi wimax

Modules not built (see ns-3 tutorial for explanation):
click openflow


Dataset URL:
Toolchain @ Github
BibTeX for citation

Paper Download Link: TBA (March 2015)

Abstract: With video streaming becoming more and more popular, the number of devices that are capable of streaming videos over the Internet is growing. This leads to a heterogeneous device landscape with varying demands. Dynamic Adaptive Streaming over HTTP (DASH) offers an elegant solution to these demands. Smart adaptation logics are able to adjust the clients' streaming quality according to several (local) parameters. Recent research indicated benefits of blending Scalable Video Coding (SVC) with DASH, especially considering Future Internet architectures. However, except for a DASH dataset with a single SVC encoded video, no other datasets are publicly available. The contribution of this paper is two-fold. First, a DASH/SVC dataset, containing multiple videos at varying bitrates and spatial resolutions including 1080p, is presented. Second, a toolchain for multiplexing SVC encoded videos is provided, therefore making our results reproducible and allowing researchers to generate their own datasets.

It is recommended to have more than one password, preferably each website / service we are using should have its own unique password. Obviously this is not an easy task to master, especially for websites / services that are only rarely visited. Writeing down the password in an unencrypted text-file is an option, but it is not recommended due to security concerns. Writeing it down on a piece of paper is easy, but one might lose that piece of paper, or worse, somebody else might steal it. ...continue reading