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  National University of Singapore
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.. _sec-orchestration:

###################################
SimBricks Orchestration
###################################

Our orchestration framework replaces hand-crafted scripts for setting up and
running experiments. Instead, experiments are described in a declarative
fashion. The orchestration framework then takes care of the details, manages
launching the respective component simulators, sets up the SimBricks
communication channels between them, and monitors their execution. All output is
collected in a JSON file, which allows easy post-processing afterwards. 

******************************
Concepts
******************************

To declare experiments, we use multiple important concepts and terminology,
which we now introduce.

Experiments
===========

An *experiment* defines which component simulators to run and how they are
connected. To define one, instantiate the class
:class:`~simbricks.orchestration.experiments.Experiment` in your own Python
module, which has member functions to further define the component simulators to
run. SimBricks comes with many pre-defined experiments, which can serve as
starting guides and are located in the repository under ``experiments/pyexps``.

.. autoclass:: simbricks.orchestration.experiments.Experiment
  :members: add_host, add_pcidev, add_nic, add_network

Runs
====

Experiments can be executed multiple times, for example, to gain statistical
insights when including a random or non-deterministic component. We call each
execution a *run* of the experiment. Each run produces its own output JSON file.
The file name includes the number of the run.

The number of runs can be specified when invoking the orchestration framework,
see :ref:`sec-command-line`. When using simulator checkpointing, we use one run
to boot the simulator and take the checkpoint, and a second one to carry out the
actual experiment. This is the reason for two output JSON files being produced
in this case. For more information, see :ref:`sec-checkpointing`.

Component Simulators
====================

SimBricks comes with multiple, ready-to-use component simulators for your
experiments in :mod:`simbricks.orchestration.simulators`. These include host,
NIC, network, and PCIe device simulators. On the orchestration side, each
simulator is implemented in a class deriving from
:class:`~simbricks.orchestration.simulators.Simulator`, which provides the
necessary commands for their execution. We also offer more specialized base
classes for the different component types, which implement common member
functions, for example, to connect NICs or network component simulators to a
host simulator.

.. automodule:: simbricks.orchestration.simulators
  
.. autoclass:: simbricks.orchestration.simulators.Simulator
  :members: prep_cmds, run_cmd, resreq_cores, resreq_mem

.. autoclass:: simbricks.orchestration.simulators.HostSim
  :members: sync_mode, sync_period, pci_latency, add_pcidev, add_nic, add_netdirect
  :show-inheritance:

.. autoclass:: simbricks.orchestration.simulators.NetSim
  :members: sync_mode, sync_period, eth_latency, connect_network
  :show-inheritance:

.. autoclass:: simbricks.orchestration.simulators.PCIDevSim
  :members: sync_mode, sync_period, pci_latency
  :show-inheritance:

.. autoclass:: simbricks.orchestration.simulators.NICSim
  :members: eth_latency, set_network
  :show-inheritance:

.. _sec-node_app_config:

*******************
Node and App Config
*******************

To configure the workload and the software environment of nodes, use the classes
:class:`~simbricks.orchestration.nodeconfig.NodeConfig` and
:class:`~simbricks.orchestration.nodeconfig.AppConfig`. The former is passed to
every host simulator and defines, for example, the networking configuration like
IP address and subnet mask, how much system memory the node has, but also which
disk image to run. You can read more about the latter under
:ref:`sec-howto-custom_image`.

The :class:`~simbricks.orchestration.nodeconfig.NodeConfig` contains an
attribute for an instance of
:class:`~simbricks.orchestration.nodeconfig.AppConfig`, which defines the
workload or the concrete commands that are executed on the node. You can also
override :meth:`~simbricks.orchestration.nodeconfig.AppConfig.config_files` to
specify additional files to be copied into the host. These are specified as key
value pairs, where the key represents the path/filename inside the simulated
guest system and the value is an IO handle of the file to be copied over.

.. automodule:: simbricks.orchestration.nodeconfig

.. autoclass:: simbricks.orchestration.nodeconfig.NodeConfig
  :members: ip, prefix, mtu, cores, memory, disk_image, app, run_cmds,
    cleanup_cmds, config_files 

.. autoclass:: simbricks.orchestration.nodeconfig.AppConfig
  :members: run_cmds, config_files


.. _sec-command-line:

******************************
Running Experiments
******************************

To run experiments using our orchestration framework, use the
``experiments/run.py`` script. For your convenience, you can also use
``simbricks-run`` in the Docker images from anywhere to run experiments. In
practice, running experiments will look similar to this:

.. code-block:: bash

  $ python run.py --verbose --force pyexps/simple_ping.py
  # only available inside docker images
  $ simbricks-run --verbose --force pyexps/simple_ping.py

Here are all the command line arguments for the ``experiments/run.py`` script:

.. code-block:: text

  usage: run.py [-h] [--list] [--filter PATTERN [PATTERN ...]] [--pickled] [--runs N]
                [--firstrun N] [--force] [--verbose] [--pcap] [--repo DIR] [--workdir DIR]
                [--outdir DIR] [--cpdir DIR] [--hosts JSON_FILE] [--shmdir DIR]
                [--parallel] [--cores N] [--mem N] [--slurm] [--slurmdir DIR] [--dist]
                [--auto-dist] [--proxy-type TYPE]
                EXP [EXP ...]

  positional arguments:
    EXP                   Python modules to load the experiments from

  options:
    -h, --help            show this help message and exit
    --list                List available experiment names
    --filter PATTERN [PATTERN ...]
                          Only run experiments matching the given Unix shell style patterns
    --pickled             Interpret experiment modules as pickled runs instead of .py files
    --runs N              Number of repetition of each experiment
    --firstrun N          ID for first run
    --force               Run experiments even if output already exists (overwrites output)
    --verbose             Verbose output, for example, print component simulators\' output
    --pcap                Dump pcap file (if supported by component simulator)

  Environment:
    --repo DIR            SimBricks repository directory
    --workdir DIR         Work directory base
    --outdir DIR          Output directory base
    --cpdir DIR           Checkpoint directory base
    --hosts JSON_FILE     List of hosts to use (json)
    --shmdir DIR          Shared memory directory base (workdir if not set)

  Parallel Runtime:
    --parallel            Use parallel instead of sequential runtime
    --cores N             Number of cores to use for parallel runs
    --mem N               Memory limit for parallel runs (in MB)

  Slurm Runtime:
    --slurm               Use slurm instead of sequential runtime
    --slurmdir DIR        Slurm communication directory

  Distributed Runtime:
    --dist                Use sequential distributed runtime instead of local
    --auto-dist           Automatically distribute non-distributed experiments
    --proxy-type TYPE     Proxy type to use (sockets,rdma) for auto distribution

******************************
Images
******************************


******************************
Distributed Simulations
******************************


******************************
Slurm
******************************
