Self-aware architecture to support partial control of emergent behavior

Motus, Leo; Preden, Jürgo-Sören; Meriste, Merik; Pahtma, Raido

doi:10.1109/sysose.2012.6384148

Cited by 13 publications

(15 citation statements)

References 9 publications

(15 reference statements)

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“…Motus et al . address the importance of mediating interactions among constituent systems to achieve emergent behavior.…”

Section: Related Workmentioning

confidence: 99%

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Architecting exogenous software‐intensive systems‐of‐systems on the internet‐of‐vehicles with SosADL

Oquendo

2019

Systems Engineering

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The pervasiveness of the communication networks increasingly has made possible to interconnect software‐intensive systems that were independently developed, operated, managed, and evolved, yielding a new kind of complex system, that is, a system that is itself composed of systems, the so‐called System‐of‐Systems (SoS). Nowadays, the Internet‐of‐Things (IoT) enables the engineering of software‐intensive SoS, which are opportunistically constructed for achieving specified missions in specific operational environments. In particular, in the subset of IoT where “things” are predominantly connected vehicles, the so‐called Internet‐of‐Vehicles (IoV), the challenge is to exogenously coordinate different vehicles for performing together, through emergent behavior, traffic‐related missions, especially platooning. In platooning, two or more vehicles are connected together in convoy using wireless connectivity and automated driving support. The corresponding challenge in the architectural design of SoSs on IoV is to conceive concepts and mechanisms for describing how an SoS architecture is able to create, on the fly, and maintain emergent behaviors from elementary connected vehicles, where the actual vehicles are not known at design time. To address this challenge, this paper investigates the principle of supervenience for describing architecture‐driven emergent behavior following an exogenous approach. In particular, it describes the concepts and mechanisms underlying SosADL, a formal SoS Architecture Description Language (ADL), based on the novel π‐Calculus for SoS, to support the architectural description of self‐organizing SoSs, upwardly causing the required SoS emergent behaviors at run time. Especially, it demonstrates how architectural mediators expressed with SosADL in exogenous SoS architectures support vehicle platooning through an excerpt of a real application on the IoV.

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“…Motus et al . address the importance of mediating interactions among constituent systems to achieve emergent behavior.…”

Section: Related Workmentioning

confidence: 99%

“…address the importance of mediating interactions among constituent systems to achieve emergent behavior. In particular, Motus et al . propose a middleware based on mediated interaction.…”

Section: Related Workmentioning

confidence: 99%

Architecting exogenous software‐intensive systems‐of‐systems on the internet‐of‐vehicles with SosADL

Oquendo

2019

Systems Engineering

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“…An artificial System of Systems (SoS) results from networking of stand-alone systems in order to coordinate their behaviour, and to benefit from concerted operation of these stand-alone systems [1]. In a cyber-physical system, which almost by definition is a System of Systems (SoS) the creation of situational information, i.e., formalization of sensor values to situation parameters, and the evaluation of these situation parameter values may occur on separate systems.…”

Section: A Cyber Physical Systems As System Of Systemsmentioning

confidence: 99%

“…In the vast majority of systems the situational information has been embedded implicitly either in the application logic (the situational information on the world) or in the self diagnostic and safety modules (situational information on the system itself) of the system. However, the simple approach of describing system behaviour as a function of (combinations of) specific sensor values is not applicable in case of complex cyber-physical systems, which consist of several autonomous systems and where both the situation of the world as well as the situation of the system itself cannot be described or analyzed in a comprehensive way as it is dependent on very many parameters [1]. We suggest an systematic way of approaching the situation awareness in cyber-physical systems by handling situational information explicitly, separating the interpretation of the sensor (or context) information and the decisions made based on these interpretations.…”

Section: Introductionmentioning

confidence: 99%

Generating situation awareness in cyber-physical systems

Preden

2014

Proceedings of the 2014 International Conference on Hardware/Software Codesign and System Synthesis

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Cyber-physical systems depend on good situation awareness in order to cope with the changes of the physical world and in the configuration of the system to fulfill their goal functions. Being aware of the situation in the physical world enables a cyberphysical system to adapt its behaviour according to the actual state of the world as perceived by the cyber-physical system. Understanding the situation of the cyber-physical system itself enables adaptation of the behaviour of the system according to the current capabilities and state of the system, e.g., providing less features or features with limited functionality in case some of the system components are not functional. In order to build resilient cyber-physical systems we need to build systems that are able to consider both of these aspects in their operation.

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“…We have proposed the concept of mediated interactions for SoS [10], where the algorithmic part of the computation is separated from the communication part, which is handled by active mediators. Building on this theoretical foundation Figure 1 Information mediation from data sources to users by Wiederhold [8] (which is also still under development) we have designed and implemented a SoS architecture where the mediation of data is a distinct operation, which can be controlled separately from the computation by information mediators.…”

Section: Applying the Mediated Interaction Conceptmentioning

confidence: 99%

On-line data validation in distributed data fusion

et al. 2013

Self Cite

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Data acquisition and data fusion systems are becoming increasingly complex, being in fact systems of systems, where every component may be a system with varying levels of autonomy by themselves. Possible changes in system configuration by entities joining or being removed from the system make the system complex. As synchronous operation cannot be expected in such a system configuration, the temporal and spatial correctness of data must be achieved via other means. This paper presents the concept of mediated interactions as a method for ensuring correctness of computation in a distributed system. The mediator associated with each computing entity is responsible for online checking of the data both before it is sent out at the sender side and before it is received at the receiver side, ensuring that only data satisfying the validity constraints of the receiver-side data processing algorithm is used in computation. This assumes that each data item is augmented with metadata, which enables online data validation. The validity and quality dimensions in use depend on the system requirements defined by a specific problem and situational context; they may be temporal, spatial and involve various data quality dimensions, such as accuracy, confidence, relevance, credibility, and reliability. Among other capabilities, the mediator is able to cope with the unknowns in the temporal dimension that occur at runtime and are not predictable, such as channel delay, jitter of clocks and processing delays. This capability becomes an especially relevant factor in multi-tasking systems and in configurations in which a computing entity may have to process a variable number of parallel streams of data.Both the architecture and a simulation case study of a distributed data fusion scenario are presented in the paper.

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Self-aware architecture to support partial control of emergent behavior

Cited by 13 publications

References 9 publications

Architecting exogenous software‐intensive systems‐of‐systems on the internet‐of‐vehicles with SosADL

Architecting exogenous software‐intensive systems‐of‐systems on the internet‐of‐vehicles with SosADL

Generating situation awareness in cyber-physical systems

On-line data validation in distributed data fusion

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