Virtualization as a Way to Distribute PC-Based Functionalities

Gaj, Piotr; Skrzewski, Mirosław; Stój, Jacek; Flak, Jaroslaw

doi:10.1109/tii.2014.2360499

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…As a result, the usage of regular Ethernet switches is not possible because it would lead to an incorrect forwarding of the EtherCAT datagrams. A solution is to use software defined networks (SDN), which represents yet another type of virtualization that is already employed in computer systems [6].…”

Section: Introductionmentioning

confidence: 99%

Utilization of SDN Technology for Flexible EtherCAT Networks Applications

Smołka

Stój

2022

Sensors

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At the beginning of the current century, Ethernet-based communication networks began to be implemented in industrial applications. Some previously used protocols were migrated to Ethernet networks, while many others were strictly developed for this communication medium. Numerous industrial Ethernet protocols do not deliver all the capabilities provided by the Ethernet. For example, limitations may arise associated with wireless communication, use of dedicated switching devices, or operation solely for certain topologies. On the other hand, new technologies are now available, such as software defined networks (SDN), that add new features to Ethernet-based communication systems. In this paper, an EtherCAT network in combination with SDN is analyzed. EtherCAT network may only consist of devices with an implemented EtherCAT protocol stack. Therefore, regular Ethernet switches cannot typically be used in this network and, hence, special network infrastructure may be required to create topologies other than standard line topology. It is shown, however, that this limitation can be overcome by the application of SDN. In addition, a definition of datagram forwarding rules (called SDN flows here) is given, and we demonstrate that EtherCAT datagrams can be sent through routes that are required for proper EtherCAT network operation.

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Section: Introductionmentioning

confidence: 99%

Utilization of SDN Technology for Flexible EtherCAT Networks Applications

Smołka

Stój

2022

Sensors

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“…In the third paper [24], virtualized PC stations are described as the means for improving the security and responsiveness of the PC-based industrial software. The results are presented as comprised measurements of station reactions in real and virtualized cases, based on physical industrial devices and software.…”

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confidence: 99%

Guest editorial: Distributed data processing in industrial applications

Gaj

Malinowski

Sauter

et al. 2015

IEEE Trans. Ind. Inf.

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Guest Editorial Distributed Data Processing in Industrial ApplicationsI NDUSTRIAL applications become more and more distributed. The "intelligence" is embedded in smaller and smaller devices connected via various types of computer and communication networks. This is possible due to the strong development of processing infrastructure as well as information and interconnection technologies. As a result, systems simply get "smarter," both from the user's and developer's point of view. They can handle more data in more sophisticated ways. They are able to deliver functionalities and services which were not even thinkable ten years ago. Temporal characteristics of data processing in distributed applications are obtainable as more in line with the requested ones. Finally, they can be created with tools, methods, and standards providing better support in the domain of modeling, simulation, validation, and other aspects of designing, testing, and commissioning. Taking into consideration the last decade, it can be claimed that the increasing usage of system architectures based on dispersed applications is a constant trend.Thus, the further perspective of distributed processing in industrial systems is promising. As usual, the advances in distributed data processing will be propelled by requirements imposed by production quality, efficiency, sustainability, flexibility, and new industrial technologies. The current stage of research in the domain is on the verge of another breakthrough. The old approaches that are still widely used reached the mature stage. Many existing solutions are based on technologies invented in the 1990s and before. For instance, recent statistical reports show that systems worth more than 50 billion dollars worldwide are more than 20 years old [1].This also pushes for the continuous development of new IT technologies, and despite the natural inertia in automation, they are being introduced into new solutions. Moreover, there is strong drive in industry to design, create, and analyze systems in entirely new ways.Currently, automation systems are mostly designed based on distributed architectures. In a typical approach, such systems are considered as a set of various computerized nodes, physically scattered on the shop floor, and connected together via computer networks [2]. The whole system, seen as a holistic but abstract entity, delivers several functionalities needed for the control and maintenance of a technological process. The system is processing information coming from a given industrial process. Information is coded as a set of data in the form of

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