MARk

The Multi-Agent Ranking framework (MARk) aims to provide all the building blocks that are required to build large scale detection and ranking systems. Namely, the framework provides the following key components:

  • a distributed storage suited for very large datasets and BigData applications,
  • a web based visualization and management interface,
  • a distributed execution framework to reliably execute the detection algorithms and balance the compute load between multiple servers,
  • and an easy to configure triggering mechanism that allows to execute the detection algorithms when new data is available or when configured conditions are met.

All these components are implemented in a generic way. They are independent of the type of data that will be processed by the framework. This allows the data scientist to focus on his core business: developing effective detection algorithms.

Test the online demo server Check GIT repository

Multi-Agent Ranking framework : test the online demo

The Multi-Agent Ranking framework (MARk) is a generic server that allows to easily build large scale detection and ranking systems. It provides a web interface, a distributed execution framework for detection algorithms, storage for data and detection results, and an easy to configure triggering mechanism.

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Implement a Java detector for the Multi-Agent Ranking framework

In previous blog posts we showed how to inject a stream of data in the Multi-Agent Ranking framework, and how to use the built-in detectors to produce a ranking. This time we show how to implement your own detection algorithms.

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MARk : Use built-in detectors

Now that you have a running MARk server, with data flowing in, you can use the provided algorithms to build your detection chain.

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Getting started with MARk : create a PHP data injector

The Multi-Agent Ranking framework (MARk) aims to provide all the building blocks that are required to build large scale detection and ranking systems. For this blog post we will use docker and docker-compose to run a MARk server, then we will use PHP and composer to inject data in the framework.

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Multi-Agent Ranking framework version 2 is out

This week we released a new major version of the Multi-Agent Ranking framework (MARk). This version brings two main changes:

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MARK release 0.0.28

Today we released version 0.0.28 of our Multi-Agent Ranking Framework (MARK).

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