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-1.6.0b3.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

fabric_cf-1.6.0b3-py3-none-any.whl (937.4 kB view details)

Uploaded Python 3

File details

Details for the file fabric_cf-1.6.0b3.tar.gz.

File metadata

  • Download URL: fabric_cf-1.6.0b3.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for fabric_cf-1.6.0b3.tar.gz
Algorithm Hash digest
SHA256 efd330f4e089dade5ede4b2713dc5af4079cec06cce9e1e6b9b2c36f1c074b15
MD5 7d28a130ec7ff6a1a636b93b617be095
BLAKE2b-256 b8b1085352fe3ab888603fab9f98530bfef9a16d48080d780668771fceb7ea94

See more details on using hashes here.

File details

Details for the file fabric_cf-1.6.0b3-py3-none-any.whl.

File metadata

  • Download URL: fabric_cf-1.6.0b3-py3-none-any.whl
  • Upload date:
  • Size: 937.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for fabric_cf-1.6.0b3-py3-none-any.whl
Algorithm Hash digest
SHA256 7e2da400dc2dbd87967873c1c49d09361d018665aba008079316f95eb7a8c5de
MD5 4a3f6a0f277444272f404b53dad9d28e
BLAKE2b-256 f8cd339569d152012c6c4aaa3b6aa0ae363fbe23823c04ac1b5ca752b8029006

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