This Internet of Things Agent is designed to be a bridge between the OMA Lightweight M2M protocol and the NGSI interface of a context broker.
It is based on the IoT Agent Node.js Library. Further general information about the FIWARE IoT Agents framework, its architecture and the common interaction model can be found in the library's GitHub repository.
This project is part of FIWARE. For more information check the FIWARE Catalogue entry for the IoT Agents.
The IoT Agent must be instantiated and connected to an instance of the
Orion Context Broker, a sample docker-compose
file can be found
below.
If the IOTA_REGISTRY_TYPE=mongodb
, a MongoDB database instance is also required - the
example below assumes that you have a /data
directory in your hosting system in order to hold database files - please
amend the attached volume to suit your own configuration.
version: "3.1"
volumes:
mongodb: ~
services:
iot-agent:
image: fiware/lightweightm2m-iotagent
hostname: iot-agent
container_name: fiware-iot-agent
depends_on:
- mongodb
expose:
- "4041"
- "5683"
ports:
- "4041:4041"
- "5683:5683"
environment:
- "IOTA_CB_HOST=orion"
- "IOTA_CB_PORT=1026"
- "IOTA_NORTH_PORT=4041"
- "IOTA_REGISTRY_TYPE=mongodb"
- "IOTA_MONGO_HOST=mongodb"
- "IOTA_MONGO_PORT=27017"
- "IOTA_MONGO_DB=iotagent-lwm2m"
- "LWM2M_PORT=5683"
mongodb:
image: mongo:3.6
hostname: mongodb
container_name: db-mongo
ports:
- "27017:27017"
command: --bind_ip_all --smallfiles
volumes:
- mongodb:/data
orion:
image: fiware/orion
hostname: orion
container_name: fiware-orion
depends_on:
- mongodb
expose:
- "1026"
ports:
- "1026:1026"
command: -dbhost mongodb
Many settings can be configured using Docker environment variables. A typical IoT Agent Docker container is driven by environment variables such as those shown below:
IOTA_CB_HOST
- Hostname of the context broker to update contextIOTA_CB_PORT
- Port that context broker listens on to update contextIOTA_NORTH_PORT
- Port used for configuring the IoT Agent and receiving context updates from the context brokerIOTA_REGISTRY_TYPE
- Whether to hold IoT device info in memory or in a databaseIOTA_MONGO_HOST
- The hostname of MongoDB - used for holding device and service informationIOTA_MONGO_PORT
- The port that MongoDB is listening onIOTA_MONGO_DB
- The name of the database used in MongoDBLWM2M_PORT
- The port where the IoT Agent listens for IoT device traffic
The full set of overrides for the general parameters applicable to all IoT Agents are described in the Configuration section of the IoT Agent Library Installation Guide.
Further settings for the IoT Agent for LightWeight Machine2Machine itself - such as specific configurations for the LWM2M Port and Protocol - can be found in the IoT Agent for LightWeight Machine2Machine Installation Guide.
The Dockerfile associated with this image can be used to build an image in several ways:
- By default, the
Dockerfile
retrieves the latest version of the codebase direct from GitHub (thebuild-arg
is optional):
docker build -t iot-agent . --build-arg DOWNLOAD=latest
- You can alter this to obtain the last stable release run this
Dockerfile
with the build argumentDOWNLOAD=stable
docker build -t iot-agent . --build-arg DOWNLOAD=stable
- You can also download a specific release by running this
Dockerfile
with the build argumentDOWNLOAD=<version>
docker build -t iot-agent . --build-arg DOWNLOAD=1.7.0
To download code from your own fork of the GitHub repository add the GITHUB_ACCOUNT
, GITHUB_REPOSITORY
and
SOURCE_BRANCH
arguments (default master
) to the docker build
command.
docker build -t iot-agent . \
--build-arg GITHUB_ACCOUNT=<your account> \
--build-arg GITHUB_REPOSITORY=<your repo> \
--build-arg SOURCE_BRANCH=<your branch> \
--target=distroless|pm2|slim
Alternatively, if you want to build directly from your own sources, please copy the existing Dockerfile
into file the
root of the repository and amend it to copy over your local source using :
COPY . /opt/iota-lwm2m/
Full instructions can be found within the Dockerfile
itself.
The IoT Agent within the Docker image can be run encapsulated within the pm2 Process
Manager by using the associated pm2
Image.
docker run --name iotagent -d fiware/lightweightm2m-iotagent:<tag>-pm2
The IoT Agent within the Docker image can be run from a distroless container
by using the associated distroless
Image.
docker run --name iotagent -d fiware/lightweightm2m-iotagent:<tag>-distroless
As an alternative to passing sensitive information via environment variables, _FILE
may be appended to some sensitive
environment variables, causing the initialization script to load the values for those variables from files present in
the container. In particular, this can be used to load passwords from Docker secrets stored in
/run/secrets/<secret_name>
files. For example:
docker run --name iotagent -e IOTA_AUTH_PASSWORD_FILE=/run/secrets/password -d fiware/lightweightm2m-iotagent
Currently, this _FILE
suffix is supported for:
IOTA_AUTH_USER
IOTA_AUTH_PASSWORD
IOTA_AUTH_CLIENT_ID
IOTA_AUTH_CLIENT_SECRET
IOTA_MONGO_USER
IOTA_MONGO_PASSWORD
Default settings for ulimit on a Linux system assume that several users would share the system. These settings limit the number of resources used by each user. The default settings are generally very low for high performance servers and should be increased. By default, we recommend, that the Lightweight OMA M2M IoTAgent server in high performance scenarios, the following changes to ulimits:
ulimit -n 65535 # nofile: The maximum number of open file descriptors (most systems do not allow this
value to be set)
ulimit -c unlimited # core: The maximum size of core files created
ulimit -l unlimited # memlock: The maximum size that may be locked into memory
If you are just doing light testing and development, you can omit these settings, and everything will still work.
To set the ulimits in your container, you will need to run Lightweight OMA M2M IoTAgent Docker containers with the following additional --ulimit flags:
docker run --ulimit nofile=65535:65535 --ulimit core=100000000:100000000 --ulimit memlock=100000000:100000000 \
--name iotagent -d fiware/lightweightm2m-iotagent
Since “unlimited” is not supported as a value, it sets the core and memlock values to 100 GB. If your system has more than 100 GB RAM, you will want to increase this value to match the available RAM on the system.
Note: The --ulimit flags only work on Docker 1.6 or later.
Nevertheless, you have to "request" more resources (i.e. multiple cores), which might be more difficult for orchestrates (Docker Engine or Kubernetes) to schedule than a few different containers requesting one core (or less...) each (which it can, in turn, schedule on multiple nodes, and not necessarily look for one node with enough available cores).
If you want to get more details about the configuration of the system and node.js for high performance scenarios, please refer to the Administration Guide.
If using Mongo-DB as a data persistence mechanism (i.e. if IOTA_REGISTRY_TYPE=mongodb
) the device and service group
details are retrieved from a database. The default name of the IoT Agent database is iotagentlm2m
. Database access can be
optimized by creating appropriate indices.
For example:
docker exec <mongo-db-container-name> mongo --eval '
conn = new Mongo();
db = conn.getDB("iotagentlm2m");
db.createCollection("devices");
db.devices.createIndex({"_id.service": 1, "_id.id": 1, "_id.type": 1});
db.devices.createIndex({"_id.type": 1});
db.devices.createIndex({"_id.id": 1});
db.createCollection("groups");
db.groups.createIndex({"_id.resource": 1, "_id.apikey": 1, "_id.service": 1});
db.groups.createIndex({"_id.type": 1});' > /dev/null
The name of the database can be altered using the IOTA_MONGO_DB
environment variable. Alter the conn.getDB()
statement above if an alternative database is being used.