Using the Context-Sensitive Policy Mechanism for Building Data Acquisition Systems in Large Scale Distributed Cyber-Physical Systems Built on Fog Computing Platforms

Computers

Alexander Vodyaho¹  Igor Kulikov¹  Saddam Abbas¹  Nataly Zhukova² 

[1] Faculty of Computer Science and Technology, Saint Petersburg Electrotechnical University “LETI”, 197376 St. Petersburg, Russia;Laboratory of Big Data Technologies in Socio-Cyberphysical Systems, St. Petersburg Federal Research Centre of the Russian Academy of Sciences (SPCRAS), 199178 St. Petersburg, Russia;

关键词: data acquisition;    cyber-physical systems;    fog platforms;    policy-based systems;    multi-level relative finite state operational automaton;    context-aware systems;   

DOI  :  10.3390/computers10080101

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown