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

This version

1.0

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-1.0.tar.gz (362.8 kB view details)

Uploaded Source

Built Distribution

fabric_cf-1.0-py3-none-any.whl (753.0 kB view details)

Uploaded Python 3

File details

Details for the file fabric-cf-1.0.tar.gz.

File metadata

  • Download URL: fabric-cf-1.0.tar.gz
  • Upload date:
  • Size: 362.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.6.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.2

File hashes

Hashes for fabric-cf-1.0.tar.gz
Algorithm Hash digest
SHA256 f722f5a4265089cfb5b7e3464cd10e23a4c79a2a31f1e247ef39c4bcd2e93472
MD5 9dd3e5c56cb697b36c9f05685d14b2d6
BLAKE2b-256 b25156f066348e1440ecb8097b50c27b4bc9ebdc827162ab29cbb2f505a336f1

See more details on using hashes here.

File details

Details for the file fabric_cf-1.0-py3-none-any.whl.

File metadata

  • Download URL: fabric_cf-1.0-py3-none-any.whl
  • Upload date:
  • Size: 753.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.6.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.2

File hashes

Hashes for fabric_cf-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 cce4569cd4cded13fbbe09d0c1bf73943f69b89591c376f3fdbbb8e2387345dc
MD5 d428df060d60207e1fd11c44b0bf36a3
BLAKE2b-256 25dd6f2f67bd2e433cfe9792678c4e135e0b26fb67354f467b39446760cfea84

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