Actuation Conflict Management & Behavioural Drift Analysis - Business Model

This page contains the business model for the Actuation Conflict Management & Behavioural Drift Analysis tools. The Actuation Conflict Management tool is dedicated to the identification, analysis, and management of the potential actuation conflicts during software development of IoT systems. The Behavioral Drift Analysis tool provide metrics to evaluate to which extent the applications behaves as expected.

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Main Contributor

Partner: CNRS

Category: Academic

Type: IoT platform provider with Actuation Conflict Management and Behaviroural Drift Analysis

Lean Canvas

Problem

Customer needs, requests and opportunities from the market

New generation of IoT applications are not only for collecting data on the field but also to control actuation systems.  They become critical systems and need tools to detect and manage actuation conflicts and toward more trustworthiness.

Existing Alternatives

Currently actuation systems are controlled with Ad-Hoc monitors. These approaches are not generic and thus not well-adapted to Devops methodology and frameworks and large scale IoT platforms

Solution

ENACT Result

Tools to detect actuation conflicts, to design actuation managers, to monitor behavioral drift of the actuation systems.
Exploitation Form

As an academic partner our contribution will  take the form of  license agreement for transfer, publications, participation in standards commitees, new university training courses.

IPR Background 

Background Knowledge in ENACT : synchronous monitoring model to manage shared resources, execution engine models  for a finite state machine, stochastic models of behavioural drifts, experimental software prototypes like behavioural drift measures. 

Description 

Demonstrator, communications & publications, courses material 

Type

New algorithms and models for knowledge contribution, Open Source (Lesser General Public License) and legacy proprietary software for prototyping.

Key Metrics

KPIs

Each KPI evaluate the impact on the targets identified above:  

  • Licence agreements for transfer (key metric = sum of %)
    • 50 % licences on actuation conflict manager tools
    • 50 % licences on Behavioral Drift Analysis tools
  • Communications  & publications (key metric = sum of %)
    • 20% = 2 communications in major conferences (on both CNRS contributions)
    • 50% = 1 journal publication on Actuation Conflict in IoT - Survey and contribution
    • 30 % = 4 communications with the other partners  (e.g. with UDE on reinforcement learning  with behavioral drift measure ...)
  • Standard committees : (key metric = sum of %)
    • 40% = participation to a Specification Groups on IoT plateforms, (ex. ETSI / SmartM2M ...)
    • 60% = standard  draft on  guidelines  for  IoT plateforms and  Actuation  
  • Training (key metric = sum of %)
    • 50% = Online New Course on Devops for IoT (Master degree level)
    • 40% = Hackaton  on ENACT solutions
Time To Market / TRL at the end of the project

1 year after licencing with an industrial partner.

Unique Value proposition

Value added by the solution

Tools for actuation conflict detection and management in IoT Systems.

Customer Segments

Type

App Developer, App Operators, App Owners
Potential customers

Software company that wants to provide a new software IoT Platform with new tools for more trustworthiness at design and while monitoring.
Segment

All IoT platform providers

Channels

Promotion

conferences, journals, demonstrations, workshops.
Distribution

publications,  courses, hackatons

Revenue Streams

Sources of financing foreseen after the end of the project 

licences fees, training, consulting

Revenue Sources

companies, training organizations