
Self-Managing Situated Computing
Objective
Field of Science
software
Funding Scheme
ERC-AG - ERC Advanced Grant






Principal Investigator
Carlo Ghezzi (Prof.)
Host institution
POLITECNICO DI MILANO
Address
Piazza Leonardo Da Vinci 32
20133 Milano
Italy
Activity type
Higher or Secondary Education Establishments
EU Contribution
€ 2 544 156
Principal Investigator
Carlo Ghezzi (Prof.)
Administrative Contact
Fabio Conti (Mr.)
Beneficiaries (1)
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POLITECNICO DI MILANO
Italy
EU Contribution
€ 2 544 156
Project information
SMSCOM
Grant agreement ID: 227977
Status
Closed project
-
Start date
1 December 2008
-
End date
30 November 2013
Funded under:
FP7-IDEAS-ERC
-
Overall budget:
€ 2 544 156
-
EU contribution
€ 2 544 156
Computers to manage themselves more efficiently
DIGITAL ECONOMY

Today's high-tech world depends on millions of computer software programmes to operate efficiently, from traffic control and communications to healthcare and business. If these software processes and functions don't operate correctly, this could have a calamitous effect on society. In this respect, it is crucial for the software to be able to adapt to or pre-empt changes in order to continue operating at an optimal level. This is important as there are always changes and fluctuations in software and hardware environments (for example, in cyber-physical systems that control the physical environment) as well as in interactive systems where user profiles constantly change. With this in mind, the EU-funded project SMSCOM (Self-managing situated computing) worked on developing software that can self-adapt and respond to changes to prevent possible failures. It outlined the tools and methods required for the design, validation and operation of dependable self-managing situational software. Such software would be able to adapt to factors such as changing location, time at which the application is executed, device on which it runs, and environmental conditions such as light or temperature. To achieve its aims, the project team designed software that can self-manage itself via a control loop that senses situational information and effects changes. Although examples of such software exist in different applications, the project team designed a comprehensive, holistic approach to self-managing situational computing. By the end of the project, SMSCOM had developed new methodology to engineer self-adaptive software applications based on automated tools and formal methods. It adopted an entire life-cycle approach to self-managing situated computing that stands to redefine the way that software is designed. The research represents a strong foundation to better, safer and more efficient software in the near future.
Keywords
Self-adaptive software, software applications, SMSCOM, self-managing, situated computing
Project information
SMSCOM
Grant agreement ID: 227977
Status
Closed project
-
Start date
1 December 2008
-
End date
30 November 2013
Funded under:
FP7-IDEAS-ERC
-
Overall budget:
€ 2 544 156
-
EU contribution
€ 2 544 156
Discover other articles in the same domain of application
Final Report Summary - SMSCOM (Self-Managing Situated Computing)
SMScom developed a novel comprehensive methodology to engineer self-adaptive software applications, supported by automated tools and founded on formal methods that guarantee rigor and soundness, covering their entire lifetime, from development time to run time.
Project information
SMSCOM
Grant agreement ID: 227977
Status
Closed project
-
Start date
1 December 2008
-
End date
30 November 2013
Funded under:
FP7-IDEAS-ERC
-
Overall budget:
€ 2 544 156
-
EU contribution
€ 2 544 156
Deliverables
Deliverables not available
Publications
Project information
SMSCOM
Grant agreement ID: 227977
Status
Closed project
-
Start date
1 December 2008
-
End date
30 November 2013
Funded under:
FP7-IDEAS-ERC
-
Overall budget:
€ 2 544 156
-
EU contribution
€ 2 544 156
Project information
SMSCOM
Grant agreement ID: 227977
Status
Closed project
-
Start date
1 December 2008
-
End date
30 November 2013
Funded under:
FP7-IDEAS-ERC
-
Overall budget:
€ 2 544 156
-
EU contribution
€ 2 544 156