Failure Prediction Tool

Coordinated by
UTC

The Failure Prediction Tool (FPT) performs failure predictions by monitoring the logs of the applications that make up a system. It has a REST interface through which it receives in real time the log messages from the monitored applications.

Description

Describe the innovation content of the result:
A tool for predicting system failures.
Who will be the customer?
Any business or organization that relies on complex systems, and wants to minimize downtime, reduce maintenance costs, and enhance operational efficiency.
What benefit will it bring to the customers?
FPT offers customers a proactive approach to managing their systems, leading to increased efficiency, cost savings, better customer experiences, and a competitive advantage in their respective markets.
When is the expected date of achievement in the project (Mth/yr)?
Month 30.
When is the time to market (Mth/yr)?
At the end of the project.
What are the costs to be incurred after the project and before exploitation?

Probably further developments and maintenance.
What is the approximate price range of this result/price of licences?
Unknown at the moment.
What are the market size in Millions € for this result and relevant trend?
N/A
How will this result rank against competing products in terms of price/performance?
To be determined
Who are the competitors for this result?
Sumo Logic, Splunk
How fast and in what ways will the competition respond to this result?
To be determined
Who are the partners involved in the result?
UTC
Who are the industrial partners interested in the result (partners, sponsors, etc.)?
ICT GW, 7Bulls
Have you protected or will you protect this result? How? When?
Research publications at the end of the project.

Other results

Ontology Manager Tool

Ontology Manager is a Framework responsible for managing the Core Ontology used in BIECO, called DAEMON. It aims to support organizing concepts and their relationships related to System of Systems (SoS), Internet of Things (IoT), and System Components management and Monitoring.

Vulnerabilities Forecasting Tool

The Vulnerabilities Forecasting Tool (VFT) provides historical vulnerability data and projections for time intervals of 1, 2, 3, 6, and 12 months for several major software components.

safeTbox

The pre-existing tool safeTbox (www.safetbox.de) has been extended to support interoperation with the ResilBlockly tool for combined safety and security analysis.

Conditional Safety Certificates for ICT

Conditional Safety Certificates (ConSerts) have been applied to support resiliency of ICT infrastructures. Support for deployment and execution of ConSerts in ICT infrastructure according to use case needs was provided additionally.

SafeML based reliability assessment

In earlier work, a statistical distance-based measure (SafeML) is proposed for machine learning components. In BIECO project, we propose extension of it with the use of Statistical Distance Dissimilarity across time series to obtain SDD based reliability and robustness estimate (StadRE and StadRO).

BIECO Project

SUBSCRIBE and become part of the BIECO community!

We don’t spam!

Share This