Modeling and Analysis of CPU Usage in Safety-Critical Embedded Systems to Support Stress Testing

Author(s):  
Shiva Nejati ◽  
Stefano Di Alesio ◽  
Mehrdad Sabetzadeh ◽  
Lionel Briand
Author(s):  
Diego Marmsoler

AbstractCollaborative embedded systems form groups in which individual systems collaborate to achieve an overall goal. To this end, new systems may join a group and participating systems can leave the group. Classical techniques for the formal modeling and analysis of distributed systems, however, are mainly based on a static notion of systems and thus are often not well suited for the modeling and analysis of collaborative embedded systems. In this chapter, we propose an alternative approach that allows for the verification of dynamically evolving systems and we demonstrate it in terms of a running example: a simple version of an adaptable and flexible factory.


2020 ◽  
Vol 10 (9) ◽  
pp. 3125
Author(s):  
Saad Mubeen ◽  
Elena Lisova ◽  
Aneta Vulgarakis Feljan

Cyber Physical Systems (CPSs) are systems that are developed by seamlessly integrating computational algorithms and physical components, and they are a result of the technological advancement in the embedded systems and distributed systems domains, as well as the availability of sophisticated networking technology. Many industrial CPSs are subject to timing predictability, security and functional safety requirements, due to which the developers of these systems are required to verify these requirements during the their development. This position paper starts by exploring the state of the art with respect to developing timing predictable and secure embedded systems. Thereafter, the paper extends the discussion to time-critical and secure CPSs and highlights the key issues that are faced when verifying the timing predictability requirements during the development of these systems. In this context, the paper takes the position to advocate paramount importance of security as a prerequisite for timing predictability, as well as both security and timing predictability as prerequisites for functional safety. Moreover, the paper identifies the gaps in the existing frameworks and techniques for the development of time- and safety-critical CPSs and describes our viewpoint on ensuring timing predictability and security in these systems. Finally, the paper emphasises the opportunities that artificial intelligence can provide in the development of these systems.


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