Skip to main content

Fabric Control Framework

Project description

Requirements Status

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-1.4.0b17.tar.gz (397.9 kB view details)

Uploaded Source

Built Distribution

fabric_cf-1.4.0b17-py3-none-any.whl (800.9 kB view details)

Uploaded Python 3

File details

Details for the file fabric-cf-1.4.0b17.tar.gz.

File metadata

  • Download URL: fabric-cf-1.4.0b17.tar.gz
  • Upload date:
  • Size: 397.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/29.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.5 tqdm/4.54.1 importlib-metadata/3.7.3 keyring/21.5.0 rfc3986/1.4.0 colorama/0.4.4 CPython/3.9.7

File hashes

Hashes for fabric-cf-1.4.0b17.tar.gz
Algorithm Hash digest
SHA256 c6663dcf2961f4564c144ff9c1e1b9dbb2a7edad0cad761979db12f77ae18a79
MD5 2e15416713bdcd0d0d8645bfa7e44fa8
BLAKE2b-256 4dacf321599f10a84f2246ceaaf52868ad3333200b766faa84f609520ee0105c

See more details on using hashes here.

File details

Details for the file fabric_cf-1.4.0b17-py3-none-any.whl.

File metadata

  • Download URL: fabric_cf-1.4.0b17-py3-none-any.whl
  • Upload date:
  • Size: 800.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/29.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.5 tqdm/4.54.1 importlib-metadata/3.7.3 keyring/21.5.0 rfc3986/1.4.0 colorama/0.4.4 CPython/3.9.7

File hashes

Hashes for fabric_cf-1.4.0b17-py3-none-any.whl
Algorithm Hash digest
SHA256 f52ae2cb4db590cf032b73de77bb0d9912b6b2fb79c618d721cf9fda4372abfb
MD5 daa52c4c6b10d15781c0db14b2aea832
BLAKE2b-256 1af402642e49b75b396b37cd339d5db5d685c40b37d76ee649d4d2157232476b

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