Skip to main content

Fabric Control Framework

Project description

PyPI

Control Framework

This repository contains Fabric Control Framework and Actor implementations.

Overview

Fabric Control Framework has 3 actors

  • Controller
  • Broker
  • Aggregate Manager

Broker

Broker is an agent of CF that collects resource availability information from multiple aggregate managers and can make resource promises on their behalf. More details can be found here

Aggregate Manager

AM is a CF agent responsible for managing aggregate resources. Is under the control of the owner of the aggregate. Provides promises of resources to brokers and controllers/ orchestrators. More details can be found here

Orchestrator

Orchestrator is an agent of CF that makes allocation decisions (embedding) of user requests into available resources. Communicates with user to collect slice requests, communicates with broker or aggregate managers to collect resource promises, communicates with aggregate managers to provision promised resources. Creates slices, configures resources, maintains their state, modifies slices and slivers. More details can be found here

Architecture

The following diagram depicts an overall architecture for the Control Framework. Architecture

Requirements

Python 3.9+

Build Docker Images

Authority Docker Image

docker build -f Dockerfile-auth -t authority .

Broker Docker Image

docker build -f Dockerfile-broker -t broker .

Orchestrator Docker Image

docker build -f Dockerfile-orchestrator -t orchestrator .

Configuration pre-requisites

  • Kafka Configuration
    • Request topic, consumer and producer credentials for each Actor from Song
    • Request Hosts running the Actors to be added to Kafka Brokers and Schema Registry Firewall
    • Make sure to configure consumer.group.id different for each actor

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fabric_cf-1.4.2rc0.tar.gz (965.0 kB view details)

Uploaded Source

Built Distribution

fabric_cf-1.4.2rc0-py3-none-any.whl (897.5 kB view details)

Uploaded Python 3

File details

Details for the file fabric_cf-1.4.2rc0.tar.gz.

File metadata

  • Download URL: fabric_cf-1.4.2rc0.tar.gz
  • Upload date:
  • Size: 965.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for fabric_cf-1.4.2rc0.tar.gz
Algorithm Hash digest
SHA256 e6b247202cfb27f1ddf368d440544c960bcef8cc6c18bbe2105dc9f03e86985e
MD5 187d6d78b395cb6d0fd6530625651d4e
BLAKE2b-256 45b9b86621d09b9c8295b86f0bc7c848ec21053a0931d494e01ef887b59a473e

See more details on using hashes here.

File details

Details for the file fabric_cf-1.4.2rc0-py3-none-any.whl.

File metadata

  • Download URL: fabric_cf-1.4.2rc0-py3-none-any.whl
  • Upload date:
  • Size: 897.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for fabric_cf-1.4.2rc0-py3-none-any.whl
Algorithm Hash digest
SHA256 23365457699e7aefac2a8c3a144f83847e12dfa0779d410c801c3ffa2095f1ab
MD5 800f3af8965f486bc994ce18f9f35327
BLAKE2b-256 da8578778d05adf04c7374e050419fcb3076bc9b6d6798105e7a01ad18907e55

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page