Container launching implementation

See merge request !3

This patch refactor the resource management and hwloc code into a
working, albeit very simple scheduling policy. Indeed, the previous code
contained strong assumptions about the output of hwloc matching an Argo
NodeOS configuration used during the previous phase of the project, that
always contained enough CPUs and Mems to perform exclusive scheduling.

The current version is simpler, but should work on more regular systems.
The patch also improves code organization so that introducing more
complex scheduling algorithms will be simpler.

The testing of this code resulted in the discovery of simple bugs in the
daemon children handling code, which should work now.

The Argus (globalos) launcher had prototype code to read a container
manifest, create a container using Judi's code, and map resources using
hwloc.

This patch brings that code, almost intact, into the NRM repo. This code
is quite ugly, and the resource mapping crashes if the kernel
configuration isn't right. But it's still a good starting point, and we
should be able to improve things little by little.

One part in particular needs attention: SIGCHLD handling. We should
think of using ioloop-provided facilities to avoid this mess.

The patch also contains the associated CLI changes.

Note: the messaging format is starting to be difficult to keep in check,
as there's conversions and field checks all over the code. See #3 for
a possible solution.

This is the first step in a series of patches to integrate the container
launching code from Argus (globalos) into the NRM infrastructure.

This patch creates a valid command on the CLI, and sends the necessary
info to the NRM. We still need to take care of the actual container
creation.

Note that the CLI waits for an event indicating that the container was
launched, at that at this point the event is never generated by the NRM.

Basic implementation of the command line interface, power API improvements

See merge request !2

This commit changes the message format for the upstream API, to use a
json-encoded dictionary. While the format is not set in stone at this
point, the goal is to slowly move into a proper protocol, with
well-defined fields to the messages, and proper mechanisms to send
commands and receive notification of their completion.

The only current user of this API is the power management piece, and
this change breaks the GRM code maintained outside of this repo. We will
need to reconcile the two implementation once the message protocol gets
more stable.

Related to #1 and #6.

Only supports setpower for now, and while it should work in theory, the
current code doesn't have a way to check if the command was received, as
the daemon never advertise the current limit.

We need to change the protocol at this point.

This also fixes a bug in the daemon code, that was expecting a single
string as a message, instead of a list of parts, as zmqstream always
receives.

Remove unneeded module, clean up calls to the logger.

GRM/NRM Integration

See merge request !1

The previous commit added pub/sub communications in the wrong places,
creating synchronizations in an asynchronous event loop.

This commit fixes those issues, adding the upstream (GRM/Flux) flow to
the event loop, and renaming objects here and there for clarity.

The previous assert could not be valid, causing the test to fail all the
time.

This patch is the last link between coolr and the daemon. We now create
a dictionary of machine information inside the sensor manager, and give
this dictionary back to the daemon. The daemon can then use the real
data for control.

We still need to receive the target power from somewhere, and that will
come later.

Based on the very useful github.com/github/gitignore repository.

clr_hwmon was also merging sampling data generation and formatting that
data into a json string. This patch removes the formatting, for the same
reason than the previous patch.

Also removes __main__ code from module.

clr_rapl was merging sampling data generation and formatting that same
data into a json string. This patch removes the json formatting, to let
users of the module use the data in a python structure.

The patch also removes __main__ code from clr_rapl, as it is unnecessary
here. We might end up reusing some of this code in unit tests later, but
not right now.

This a partial import of github.com/coolr-hpc/pycoolr from
master branch, commit id: 67e7aa4b89b67744922b5926cd1459adf650013b

Coolr will provide us the capability to read power, topology and
msr-based sensors.

This patch links the sensor module with the coolr code as it is, which
doesn't really work. The core issue is that the current coolr code is
meant to be stand-alone, and the main functions to both sampling and
formatting of the data in json, by hand.

We will solve that in the next commit, removing the json-specific code
from the sample function to create a dict of values instead.

Create a `sensor` module that will handle the interaction with coolr and
return updated machine information regularly.

The code code is as dumb as the previous one, but the structure is
improved, which should help for the next round of updates with coolr.

Giving the deadlines we have, it's probably a good idea to keep things
simple and keep the application facing protocol exactly as it is, and
restrict it to just applications. This way we can keep using the argobots
tests as valid benchmarks, and at the same start building a decent
communication protocol on a different socket, with a better interface.

To clarify that, the daemon now use the word application to refer to
clients connecting on the "legacy" interface.

We'll add a different socket and start building a real protocol in
future commits.

The previous code was entirely inside the bin directory, which is not a
good idea in the long term.

This patch move everything inside the nrm package, so that we can start
building a proper code.

We chose to rewrite the entire thing in python. The language should make
it easy to interact will all the moving parts of the Argo landscape, and
easy to prototype various control schemes.

The communication protocol is exactly the same, but implemented with
ZeroMQ + tornado.

Power readings are not integrated yet, we are targeting using the Coolr
project for that.

This is a rough draft, all the code is in binary scripts instead of
the package, and there are no unit tests. Nevertheless, it should be
a decent starting point for future development.

The SC15/Chameleon experiments were based on a simple power management
scheme built with the help of beacon for transport, RAPL for monitoring,
and socket-based communications between the NRM and the argobots
runtime.

This is an import of the working code we had, in the state it was at the
time. It is quite obvious that this kind of one time hack, and it
probably doesn't work without the exact Chameleon setup.