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-1.6.2rc0.tar.gz (857.9 kB view details)

Uploaded Source

Built Distribution

fabric_cf-1.6.2rc0-py3-none-any.whl (944.9 kB view details)

Uploaded Python 3

File details

Details for the file fabric_cf-1.6.2rc0.tar.gz.

File metadata

  • Download URL: fabric_cf-1.6.2rc0.tar.gz
  • Upload date:
  • Size: 857.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for fabric_cf-1.6.2rc0.tar.gz
Algorithm Hash digest
SHA256 47834618494152a1075fd49879e98df9c263384d1f0ea306b2787cf1b7b85d55
MD5 807d0da68bc264821b702505d23c2182
BLAKE2b-256 6021547a7c7f911d60e85f0a25afd2664a37957ff882788990580fcf371eab09

See more details on using hashes here.

File details

Details for the file fabric_cf-1.6.2rc0-py3-none-any.whl.

File metadata

  • Download URL: fabric_cf-1.6.2rc0-py3-none-any.whl
  • Upload date:
  • Size: 944.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for fabric_cf-1.6.2rc0-py3-none-any.whl
Algorithm Hash digest
SHA256 89fc1a70ac32b004ed2a0e04b495e4f8d37e2acb1938f83d87c6dd46fa2262cc
MD5 45e0da86c7a3cd85efb8ca47e24da485
BLAKE2b-256 317871a773266459b6679ee73fc66b441027f94ef532dff58206175863e2b043

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