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-1.5.0b2.tar.gz (990.5 kB view details)

Uploaded Source

Built Distribution

fabric_cf-1.5.0b2-py3-none-any.whl (905.4 kB view details)

Uploaded Python 3

File details

Details for the file fabric_cf-1.5.0b2.tar.gz.

File metadata

  • Download URL: fabric_cf-1.5.0b2.tar.gz
  • Upload date:
  • Size: 990.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for fabric_cf-1.5.0b2.tar.gz
Algorithm Hash digest
SHA256 95317f47bd227f1c76d33f2a2395dd4b3f1543860a6282c4a1400ad77b308da0
MD5 81cfa837875b4a6e87d8d399b389afff
BLAKE2b-256 954783c46ec0144b993f86004d85e62454b5013c828ec9420faaf0e09270edb8

See more details on using hashes here.

File details

Details for the file fabric_cf-1.5.0b2-py3-none-any.whl.

File metadata

  • Download URL: fabric_cf-1.5.0b2-py3-none-any.whl
  • Upload date:
  • Size: 905.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for fabric_cf-1.5.0b2-py3-none-any.whl
Algorithm Hash digest
SHA256 b7c689d0dc35bbdc2063fc8e6ed098a58b78bcb8f7f8f3b4e203f1b63383329f
MD5 fac286477eb17fc79b17baab9c2cc027
BLAKE2b-256 6b927260d5c3cc31c8f420a9eadb346fbf31d2433110dcb5b023959176d7c840

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