Determining the Usability of Embedded Devices Based on Raspberry Pi and Programmed with CODESYS as Nodes in Networked Control Systems

Stój, Jacek; Smołka, Ireneusz; Maćkowski, Michał

doi:10.1007/978-3-319-92459-5_16

Cited by 7 publications

(1 citation statement)

References 26 publications

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“…The data model was implemented in a database management system (DBMS) from the node tree diagram, where all nodes and events in the procedure must be defined. The software used was the CODESYS software language standard [34] (developed by the German (Kempten) software company 3S-Smart Software Solution). The software tool covers different aspects of industrial automation technology.…”

Section: Monitoring Of Data Center Physical Infrastructurementioning

confidence: 99%

Intelligent Monitoring of Data Center Physical Infrastructure

Matko

Brezovec²,

Milanovič

2019

Applied Sciences

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This paper presents a new intelligent monitoring and event management method for data center physical infrastructure based on multilayer node event processing. The priorities of highly classified data centers are not only the maintenance of the highest level of reliability and availability of the operation, but also fast, specific event identification and energy consumption monitoring, which altogether improve the level of energy efficiency. The new method, using a tree node for each device, improves information about the events in a specific node. Its major advantage is that in the case of a large number of nodes, it considerably reduces the number of identified events (alarms/alerts) that might be the main cause. Fast event processing lowers data center physical infrastructure operating costs, improving at the same time the level of energy efficiency. The experimental results show that the use of tree nodes significantly reduces the number of unexpected events, the time needed for the main event identification, and the maintenance response time to events. By using event entities processing, multilayer nodes have a significant impact on the efficient operation of data center physical infrastructure.

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Section: Monitoring Of Data Center Physical Infrastructurementioning

confidence: 99%