Automation services from the cloud

Langmann, Reinhard; Meyer, Laurid

doi:10.1109/rev.2014.6784271

Cited by 9 publications

(2 citation statements)

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“…IoT platforms have being used by the industry at higher levels of automation, primarily for monitoring and supervision [1][2][3][4][5][6][7], with the goal of reducing or removing humans in the loop [8]. This is natural since higher business levels resist better to the unpredictability introduced by internet connections.…”

Section: Introductionmentioning

confidence: 99%

A Preliminary Study of Loop-Time Delays in Iot Platforms: The Thingspeak Case

Viegas

Pereira

Girão

et al. 2019

2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI)

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IoT platforms play an important role on modern measurement systems because they allow the ingestion and processing of huge amounts of data (big data). Usually, these platforms run as a service on the cloud and are accessed through open programming interfaces based on ubiquitous internet protocols (such as HTTP). Data analysis is done in batch, from time to time, or when a pre-configured event is triggered. Most of the platforms can also actuate on the physical world by issuing messages, thus closing the loop ingestanalyze-actuate.The continuous investment on IoT platforms has made them extremely reliable and performant, wondering if they can be used to control physical processes. The paper contributes to this discussion by evaluating the loop-time -defined as the delay between ingestion and actuation -of the ThingSpeak platform. The measuring methodology is explained, results are presented, and conclusions are extracted.

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Section: Introductionmentioning

confidence: 99%

A Preliminary Study of Loop-Time Delays in Iot Platforms: The Thingspeak Case

Viegas

Pereira

Girão

et al. 2019

2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI)

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“…The three main levels of cloud services include: (i) Application/Software as a Service (Saas) such as Google Apps, Amazon Web Services and Salesforce.com, (ii) Platform as a Service (PaaS) such as Google App Engine, Microsoft Azure Service and (iii) Infrastructure as a Service (IaaS) such as AWS Elastic Beanstalk and Windows Azure [23]. These cloud elements and services will be able to handle the required automation for KM applications.…”

mentioning

confidence: 99%

Architectural design of experience based factory model for software development process in cloud computing: integration with workflow and multi-agent system

Hanafiah¹,

Abdullah²,

Din³

et al. 2018

J. Fundam and Appl Sci.

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A model which is based on experience factory approach has been proposed earlier, called EBF-SD, to overcome the limitations of experience management in software developmentdomain. An application prototype, which is then called SDeX, is developed based on proposed model. The study on correlation analysis indicates that automation do have positive relationship with other components: knowledge management, cloud, collaboration and portal. This paper further discusses the high level prototype development wi architectural design. Automation features are incorporated in the design in which workflow system and intelligent agents are integrated, and the facilitation of cloud environment is empowered to further support the automation.

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