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Produkt- och produktionsutveckling

Algebra och Analys med tillämpningar

Artificiell intelligens och intelligenta system

Automatiserade mjukvaruspråkutveckling och mjukvaruteknik

Barndom i Antropocen - Utbildning och hållbarhet

Certifierbara bevis och justifieringsteknik

Cyber-fysisk systemanalys

Datakommunikation

Energieffektivisering och minskning av utsläpp

Formell modellering och analys av inbyggda system

Forskargruppen ChiP

Forskargruppen för studier i demokrati, makt och medborgarskap (DEM)

Förnybar energi

Heterogena system

Industriell programvaruteknik

Komplexa inbyggda system i realtid

Lärande och optimering

Marknadsföring och strategi

Medicinsk teknik

Modellbaserad konstruktion av inbäddade system

M-TERM - Mälardalen University Team of Educational Researchers in Mathematics

Programmeringsspråk

Programvarutestlaboratorium

Robotik

Simulering och optimering för framtida industriella applikationer

Statsvetenskap

Stokastiska processer, statistik och finansmatematik

Säkerhetskritisk teknik

Teknisk matematik

Tillförlitlig programvaruteknik

Välfärdsforskning

Human

Learning, Inclusive education, School transitions – for All (LISA)

ACICS - Assured Cloud Platforms for Industrial Cyber-physical Systems

The overall goal of ACICS is to provide models, methods and tools that facilitate a substantial increase of dependability of cloud-based platforms for ICPS applications, with respect to consistency, security and interoperability of data, timing predictability of using shared virtual resources, together with a framework of guaranteeing QoS enforcement by formal analysis and verification.

Start

2019-09-02

Planerat avslut

2023-08-31

Huvudfinansiering

KK-stiftelsen

Samarbetspartners

ABB, Ericsson, Volvo GTO

Projektansvarig vid MDH

Universitetslektor

Cristina Seceleanu

+4621151764

cristina.seceleanu@mdh.se

Background

With the emergence of “Industry 4.0”, the integration of cloud technologies and industrial cyber-physical systems (ICPS) becomes increasingly important to boost productivity by simplifying business operations and enhancing collaboration. By associating cloud, infrastructure platform and service applications, ICPS will promote the next generation of intelligent and autonomous systems, as well as increased quality, efficient production and sustainable industrial systems.

Along with the significant benefits, this trend comes with many associated challenges. The ICPS infrastructures and their fusion with the cloud lead to massive amounts of real-time and non-real-time data acquired for controlling particular processes, but also for supporting decision-making at system level. By means of virtualization techniques, IT services are accessed over the Internet, with data being computed in the network but not in a-priori known places. In such context, ensuring timely interaction from data collection to analysis and decision is non-trivial. Moreover, the co-existence of private industry-specific cloud services with public cross-industry cloud services within the same ecosystem entails that some cloud-based data might need to be undisclosed to users outside a particular company or domain. At the same time, private cloud data needs to be combined with data from public clouds, therefore both data security and interoperability need to be ensured. ICPS failures may result in havoc with escalated effects that may cause serious harm to people and property, therefore tackling the safety of cloud-based ICPS ecosystems is a key factor for their application in critical systems. Although cloud- assisted ICPS are increasingly important in many industrial domains, and ensuring their dependability is crucial, existing platforms do not provide satisfactory support to meet the dependability demands of industrial applications.

Goal of the project

The overall goal of ACICS is to provide models, methods and tools that facilitate a substantial increase of dependability of cloud-based platforms for ICPS applications, with respect to consistency, security and interoperability of data, timing predictability of using shared virtual resources, together with a framework of guaranteeing QoS enforcement by formal analysis and verification.

Through ACICS, Mälardalen University and three companies, ABB, Volvo GTO, and Ericsson, will develop deep competence to boost the dependability of cloud-based platforms with respect to timing, safety, and data security of ICPS applications. We will be able to drastically enhance the current practices for the design, analysis, and virtual allocation of applications for cloud-based ICPS.

The ACICS team is composed of a strong group of researchers covering all aspects of the synergy, with proven research records, and a group of companies strategically important for Swedish industry.