Abstract
The article deals with the use of context-sensitive policies in the building of data acquisition systems in large scale distributed cyber-physical systems built on fog computing platforms. It is pointed out that the distinctive features of modern cyber-physical systems are their high complexity and constantly changing structure and behavior, which complicates the data acquisition procedure. To solve this problem, it is proposed to use an approach according to which the data acquisition procedure is divided into two phases: model construction and data acquisition, which allows parallel realization of these procedures. A distinctive feature of the developed approach is that the models are built in runtime automatically. As a top-level model, a multi-level relative finite state operational automaton is used. The automaton state is described using a multi-level structural-behavioral model, which is a superposition of four graphs: the workflow graph, the data flow graph, the request flow graph and the resource graph. To implement the data acquisition procedure using the model, the context-sensitive policy mechanism is used. The article discusses possible approaches to implementation of suggested mechanisms and describes an example of application.
Highlights
Rapid progress in the field of microelectronics, nanotechnology, telecommunications and software engineering has opened unique opportunities for information-oriented systems developers to reach a new level of complexity of the created systems and has led to the emergence of new classes of systems with a fundamentally new level of functionality.Modern complex systems usually include a big number of elements, but the complexity of the system can be determined by the number of elements, and by the number of element types, the number of hierarchy levels, and the stability of the structure and behavior
The authors consider the problem of building data acquisition systems (DAS) for realizing DA procedures in large scale ambient intelligence (AmI) CPS with dynamic structure and behavior built on fog computing (FC) platforms as a scope of DA problem
The use of the proposed approach made it possible to significantly reduce the staff of service personnel
Summary
Rapid progress in the field of microelectronics, nanotechnology, telecommunications and software engineering has opened unique opportunities for information-oriented systems developers to reach a new level of complexity of the created systems and has led to the emergence of new classes of systems with a fundamentally new level of functionality. The number of internal states can be considered as the universal measure of functional complexity (complexity of behavior). The complexity of the behavior can be defined in terms of the number and complexity of the implemented functions. Almost all large-scale systems have the property of variability in structure and behavior, such systems are mostly distributed systems. The implementation of the variability of the structure and cognitive behavior leads to the need to increase the share of the software component, which requires the inclusion of increasingly powerful information processing and storage tools for processing large volumes of information.
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