Opendata, web and dolomites

COEMS SIGNED

Continuous Observation of Embedded Multicore Systems

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "COEMS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET zu LUEBECK 

Organization address
address: RATZEBURGER ALLEE 160
city: LUBECK
postcode: 23562
website: http://www.uni-luebeck.de/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website https://www.coems.eu/
 Total cost 3˙961˙082 €
 EC max contribution 3˙961˙082 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2016-1
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-11-01   to  2020-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET zu LUEBECK DE (LUBECK) coordinator 810˙038.00
2    ACCEMIC TECHNOLOGIES GMBH DE (KIEFERSFELDEN) participant 951˙800.00
3    HOGSKULEN PA VESTLANDET NO (BERGEN) participant 746˙435.00
4    AIRBUS DEFENCE AND SPACE GMBH DE (TAUFKIRCHEN) participant 499˙387.00
5    THALES SYSTEMS ROMANIA SRL RO (BUCURESTI) participant 485˙908.00
6    THALES AUSTRIA GMBH AT (WIEN) participant 467˙512.00
7    ACCEMIC GMBH E CO KG DE (KIEFERSFELDEN) participant 0.00
8    HOGSKOLEN I BERGEN NO (BERGEN) participant 0.00

Map

 Project objective

The ability to observe the internals of an execution of a computer-based system is a fundamental requirement for ultimately ensuring correctness and safe behaviour. Within COEMS (Continuous Observation of Embedded Multicore Systems) a novel observer platform with supporting verification methods for software systems is created. COEMS tackles the issues of detection and identification of non-deterministic software failures caused by race conditions and access to inconsistent data. It gives insight to the system’s actual behaviour without affecting it allowing new verification methods. An efficient real-time access and analysis as a critical element for operating safe systems will be developed and validated by COEMS. Moreover, a cross-layer programming approach supporting failure detection will be proposed. COEMS aims at shortening the development cycle by considerably increased test efficiency and effectivity, by increased debug efficiency (especially for non-deterministically occurring failures) and by supporting performance optimization. COEMS improves the reliability of delivered systems, enabling software developers to identify, understand, and remove software defects before release, as well as improving efficiency of software for multi/many-core computing systems in terms of performance, real-time behaviour, and energy consumption. The two Global Players Thales Group and Airbus Group, both active in safety-critical domains, will validate the COEMS approach by suitable demonstrators, i.e. testing and debugging of real-world multicore applications. In addition to these two domains, we will address the domains of safety-critical medical applications, automation and automotive industry, as well as the Internet of Things. Technologically, COEMS will provide the world-wide first comprehensive online observation approach that is non-intrusive allowing improved testing and debugging. Altogether, COEMS will define a new state-of-the-art for software systems development.

 Deliverables

List of deliverables.
Multi Core Integration Rev A Documents, reports 2020-02-13 14:53:32
Hardware Prototypes Rev A Documents, reports 2020-02-13 14:53:32
Project internal and external IT infrastructures Other 2020-02-13 14:53:32
Data Management Plan Rev A Open Research Data Pilot 2020-02-13 14:53:32
Communication Strategy Rev A Websites, patent fillings, videos etc. 2020-02-13 14:53:32
Implementation of event processing, monitoring and condition detection Rev A Documents, reports 2020-02-13 14:53:32
Training Suite v.1.0 Websites, patent fillings, videos etc. 2020-02-13 14:53:32
Implementation of pre-processing, monitoring and energy measurement Rev A Documents, reports 2020-02-13 14:53:32
Economic impact of software failure detection analysis Rev A Documents, reports 2020-02-13 14:53:32
Communication Strategy Rev B Websites, patent fillings, videos etc. 2020-02-13 14:53:32

Take a look to the deliverables list in detail:  detailed list of COEMS deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Giorgio Audrito, Ferruccio Damiani, Volker Stolz, Mirko Viroli
On Distributed Runtime Verification by Aggregate Computing
published pages: 47-61, ISSN: 2075-2180, DOI: 10.4204/EPTCS.302.4
Electronic Proceedings in Theoretical Computer Science 302 2020-02-13
2018 Svetlana Jakšić, Dan Li, Ka I Pun, Volker Stolz
Stream-based dynamic data race detection
published pages: , ISSN: , DOI:
Norsk Informatikkonferanse 2018 2020-02-13
2017 Svetlana Jakšić, Martin Leucker, Dan Li, Volker Stolz
COEMS — open traces from the industry
published pages: 96-85, ISSN: , DOI: 10.29007/gp13
Kalpa Publications in Computing volume 3 2020-02-13

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "COEMS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "COEMS" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.1.)

OpertusMundi (2020)

A Single Digital Market for Industrial Geospatial Data Assets

Read More  

ACCORDION (2020)

Adaptive edge/cloud compute and network continuum over a heterogeneous sparse edge infrastructure to support nextgen applications

Read More  

SOMA (2018)

Social Observatory for Disinformation and Social Media Analysis

Read More