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Getting Started
===============
Portability
------------
.. image:: https://travis-ci.org/named-data-ndnSIM/ndnSIM.svg?branch=test-travis-ci
:target: https://travis-ci.org/named-data-ndnSIM/ndnSIM
ndnSIM 2.0 has been successfully compiled and used on following platforms:
- Ubuntu Linux 12.04 (see the note)
- Ubuntu Linux 14.04 (32- and 64-bit platform)
- Ubuntu Linux 16.04 (32- and 64-bit platform)
- OS X 10.9
- OS X 10.10
- OS X 10.11
.. note::
ndnSIM is currently cannot be compiled on Ubuntu Linux 12.04 with the packaged boost
libraries (there is an `issue with boost 1.48 and gcc 4.6
<https://svn.boost.org/trac/boost/ticket/6153>`_). It is still possible to compile ndnSIM
on this platform, but either compiler or boost libraries (or both) need to get upgraded.
More recent version of boost can be installed from "Boost C++ Libraries" team PPA::
sudo apt-get install python-software-properties
sudo add-apt-repository ppa:boost-latest/ppa
sudo apt-get update
sudo apt-get install libboost1.55-all-dev
# add --boost-libs=/usr/lib/x86_64-linux-gnu to ./waf configure
# ./waf configure --boost-libs=/usr/lib/x86_64-linux-gnu
Make sure that all other version of boost libraries (``-dev`` packages) are removed,
otherwise compilation will fail.
.. _requirements:
Prerequisites
-------------
**1. Core dependencies**
- ``python`` >= 2.6
- ``libsqlite3``
- ``libcrypto++``
- ``pkg-config``
- Boost libraries >= 1.49
.. role:: red
.. note::
If you do not have root permissions to install boost, you can install it in your home
folder. However, you need to be make sure that `libboost_iostreams` library is successfully
compiled and is installed. Please refer to :ref:`the following example <Installing boost
libraries>` for the hints how to successfully compile and install boost libraries on Ubuntu
Linux.
Following are the detailed steps for each platform to install the compiler, all necessary
development tools and libraries, and ndn-cxx prerequisites.
- OS X
* OS X with MacPorts:
.. code-block:: bash
sudo port install pkgconfig boost sqlite3 libcryptopp
* OS X with HomeBrew:
.. code-block:: bash
brew install boost cryptopp pkg-config libxml2
brew link --force libxml2
- Linux
* Ubuntu Linux
.. code-block:: bash
sudo apt-get install build-essential libsqlite3-dev libcrypto++-dev
# For Ubuntu 12.04
sudo apt-get install python-software-properties
sudo add-apt-repository ppa:boost-latest/ppa
sudo apt-get update
sudo apt-get install libboost1.55-all-dev
# For all other Ubuntu versions
sudo apt-get install libboost-all-dev
* Fedora Linux
.. code-block:: bash
sudo yum install gcc-g++ git sqlite-devel cryptopp-devel boost-devel
.. note::
:red:`ndnSIM requires boost version at least 1.49.` Many linux distribution
(Fedora 16, 17 at the time of this writing) ship an old version of boost, making it
impossible to compile ndnSIM out-of-the-box. Please install the latest version, following
:ref:`these simple instructions <Installing boost libraries>`.
**2. Dependencies for NS-3 Python bindings**
If you are planning to use NS-3 python bindings, a number of additional dependencies
should be installed. For example, in order to run `visualizer`_ module, the following
should be installed:
- OS X
* OS X with MacPorts:
.. code-block:: bash
sudo port install py27-pygraphviz py27-goocanvas
# If you add NDN macports repository, as described in
# http://named-data.net/doc/NFD/current/INSTALL.html#install-nfd-using-the-ndn-macports-repository-on-os-x
# you will be able to install another useful python module
# sudo port install py27-kiwi
* OS X with HomeBrew
Currently, there are many missing dependencies, so it is impossible to use visualizer module with HomeBrew. Use MacPorts instead.
- Linux
* Ubuntu Linux
.. code-block:: bash
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
* Fedora Linux
.. code-block:: bash
sudo yum install pygoocanvas python-kiwi graphviz-python
# easy_install method, since pygraphviz is not (yet?) packaged into Fedora (https://bugzilla.redhat.com/show_bug.cgi?id=740687)
sudo yum install graphviz-devel
sudo yum install python-pip
sudo easy_install pygraphviz
.. _visualizer: http://www.nsnam.org/wiki/index.php/PyViz
Downloading ndnSIM source
-------------------------
ndnSIM package consists of three pieces:
- a custom branch of NS-3 that contains a few useful patches
- a customized python binding generation library (necessary if you want to use NS-3's python
bindings and/or visualizer module)
- the source code of ndnSIM module
- modified source code of ndn-cxx library and NDN Forwarding Daemon (NFD), attached to
ndnSIM git repository as git submodules
The following commands download all pieces from GitHub repositories:
.. code-block:: bash
mkdir ndnSIM
cd ndnSIM
git clone https://github.com/named-data-ndnSIM/ns-3-dev.git ns-3
git clone https://github.com/named-data-ndnSIM/pybindgen.git pybindgen
git clone --recursive https://github.com/named-data-ndnSIM/ndnSIM.git ns-3/src/ndnSIM
The last command downloads ndnSIM source code and source code of all submodules (i.e.,
ndn-cxx and NFD). If you previously cloned without ``--recursive`` flag, the correct
versions of submodules can be retrieved using:
.. code-block:: bash
git submodule update --init
The same command should be run to update submodules when there are new changes available.
.. note::
A few modification to the base NS-3 and pybindgen are necessary to run successfully
compile and run ndnSIM. Some of the changes are specific to ndnSIM and some are
bugfixes that we are submitting to NS-3 upstream. We also periodically update
repository with the new NS-3 releases, usually in form of rebasing (and if necessary
updating or eliminating) our custom patches on top of the released commits.
Compiling and running ndnSIM
----------------------------
ndnSIM uses a standard NS-3 compilation procedure. Normally the following commands should be
sufficient to configure and build ndnSIM with python bindings enabled:
.. code-block:: bash
cd <ns-3-folder>
./waf configure --enable-examples
./waf
On OS X (with MacPorts), you may need to modify the configure command to use MacPorts
version of python:
.. code-block:: bash
cd <ns-3-folder>
./waf configure --with-python=/opt/local/bin/python2.7 --enable-examples
# or run ``sudo port select python python27``
./waf
.. note::
On OS X configuration stage may get :ref:`stuck at detecting gtk module <Problems with
the gtk python module on OS X>`. Make sure you have `XQuartz
<http://xquartz.macosforge.org>`_ installed or disable python as described in the
following instructions.
Python bindings is an optional and not very stable feature of NS-3 simulator. It is
possible to disable python bindings compilation either to speed up compilation or to avoid
certain compilation errors (e.g., "Could not find a task generator for the name
'ns3-visualizer'"):
.. code-block:: bash
cd <ns-3-folder>
./waf configure --disable-python --enable-examples
./waf
For more configuration options, please refer to ``./waf --help``.
Simulating using ndnSIM
-----------------------
- Example simulation scenarios
When NS-3 is configured with ``--with-examples`` flag, you can directly run all examples
described in :doc:`examples section of this tutorial <examples>`. For example, to run
``ndn-simple.cpp`` scenario, you can run the following command:
.. code-block:: bash
./waf --run=ndn-simple
To run ``ndn-grid.cpp`` scenario:
.. code-block:: bash
./waf --run=ndn-grid
To run the sample simulation scenarios with the logging module of NS-3 enabled (note that
this will work only when NS-3 is compiled in debug mode):
.. code-block:: bash
NS_LOG=ndn.Producer:ndn.Consumer ./waf --run=<scenario name>
If you have compiled with python bindings, then you can try to run these simulations with
visualizer:
.. code-block:: bash
./waf --run=ndn-simple --vis
or:
.. code-block:: bash
./waf --run=ndn-grid --vis
.. note::
Do not forget to configure and compile NS-3 in optimized mode (``./waf configure -d
optimized``) in order to run actual simulations.
- Real experimentation
Simulation scenarios can be written directly inside NS-3 in ``scratch/`` or ``src/ndnSIM/examples`` folder.
Alternative and a recommended way is to write simulation scenarios in a separate
repository, not related to either NS-3 or ndnSIM. For example, you can use the
following template to write your extensions, simulation scenarios, and metric processing
scripts: `<http://github.com/cawka/ndnSIM-scenario-template>`_:
.. code-block:: bash
mkdir ndnSIM
cd ndnSIM
git clone https://github.com/named-data-ndnSIM/ns-3-dev.git ns-3
git clone https://github.com/named-data-ndnSIM/pybindgen.git pybindgen
git clone --recursive https://github.com/named-data-ndnSIM/ndnSIM.git ns-3/src/ndnSIM
# Build and install NS-3 and ndnSIM
cd ns-3
./waf configure -d optimized
./waf
sudo ./waf install
cd ..
git clone https://github.com/named-data-ndnSIM/scenario-template.git scenario
cd scenario
export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig
export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
./waf configure
./waf --run <scenario>
For more detailed information, refer to `README file
<https://github.com/cawka/ndnSIM-scenario-template/blob/master/README.md>`_.
..
Examples of template-based simulations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1. ndnSIM examples from `<http://ndnsim.net>`_ website and more:
- `<http://github.com/cawka/ndnSIM-examples>`_, or
2. Script scenarios and graph processing scripts for simulations used in "A Case for Stateful
Forwarding Plane" paper by Yi et al. (`<http://dx.doi.org/10.1016/j.comcom.2013.01.005>`_):
- `<http://github.com/cawka/ndnSIM-comcom-stateful-fw>`_, or
3. Script scenarios and graph processing scripts for simulations used in "Rapid Traffic
Information Dissemination Using Named Data" paper by Wang et
al. (`<http://dx.doi.org/10.1145/2248361.2248365>`_):
- `<http://github.com/cawka/ndnSIM-nom-rapid-car2car>`_, or
- Rocketfuel-based topology generator for ndnSIM preferred format (randomly assigned link
delays and bandwidth, based on estimated types of connections between nodes):
- `<http://github.com/cawka/ndnSIM-sample-topologies>`_, or