Study of network capability for cloud based control systems

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dc.contributorInternational FAIM Conference 24th : 2014 : San Antonio, Texas
dc.contributorUniversity of Texas at San Antonio. Center for Advanced Manufacturing and Lean Systems
dc.contributor.authorSchlechtendahl, Jan
dc.contributor.authorSang, Zhiqian
dc.contributor.authorKretschmer, Felix
dc.contributor.authorXu, Xun
dc.contributor.authorLechler, Armin
dc.date.accessioned2022-07-08T15:47:27Z
dc.date.available2022-07-08T15:47:27Z
dc.date.issued2014
dc.descriptionPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio
dc.descriptionIncludes bibliographical references
dc.description.abstractCurrent control systems are limited from a technical viewpoint in areas such as scalability, start-up and reconfiguration time and computational complexity for algorithms. These limitations call for a new concept for control systems to address current and future requirements. It has been suggested that the physical location of the control system be moved from that of the machine to a cloud, i.e. Control System as a service (CSaaS). In this way, the control system becomes scalable and can handle highly complex computational tasks while keeping the process know-hows. Utilizing capabilities of modern Wide Area Network (WAN) and Local Area Network (LAN) the control system can be connected with the rest of the machine, e.g. drives, sensors, devices and HMI. This approach, however, presents new challenges, i.e. the requirement for integration of network, cloud computing and control system expertise. This paper will focus on the requirements of the communication for a cloud based control system.
dc.identifier.otherhttp://dx.doi.org/10.14809/faim.2014.0021
dc.identifier.urihttps://hdl.handle.net/20.500.12588/949
dc.language.isoen_US
dc.publisherDEStech Publications, Inc.
dc.relation.ispartofseriesProceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing
dc.subjectDigital control systems
dc.subjectComputer networks
dc.subjectCloud computing
dc.titleStudy of network capability for cloud based control systems
dc.typeArticle

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