Modellierung von QoS-bewussten Re-Konfigurations-Mechanismen für Smart Devices: Unterschied zwischen den Versionen
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|email=philipp.lehr@student.kit.edu | |email=philipp.lehr@student.kit.edu | ||
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|betreuer= | |betreuer=Manuel Gotin | ||
|termin=Institutsseminar/2019-11-08 | |termin=Institutsseminar/2019-11-08 | ||
|kurzfassung=Cloud-IoT is a new paradigm which has emerged from the combination of Cloud computing and IoT. The Smart Devices are connected straight to a Cloud application to perform calculations which are too complex for a on-site computation. This has the advantage that the resources of the cloud application can be scaled horizontally under heavy load, e.g. due to many connected devices. However, due to cost reasons, it may not be possible to allocate additional resources. Alternatively, the transmission rate of the smart devices can be reduced to reduce the incoming messages and thus the load on the cloud application. For this a controller is needed, which is able to calculate the magnitude of the adaptation of the transmission rate. In addition, the compliance with quality of service requirements should also be ensured. In the course of this thesis we design such a feedback controller based on fuzzy logic, which also pays attention to the compliance with quality of service requirements. | |||
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Aktuelle Version vom 4. November 2019, 17:38 Uhr
| Vortragende(r) | Philipp Lehr | |
|---|---|---|
| Vortragstyp | Masterarbeit | |
| Betreuer(in) | Manuel Gotin | |
| Termin | Fr 8. November 2019 | |
| Vortragsmodus | ||
| Kurzfassung | Cloud-IoT is a new paradigm which has emerged from the combination of Cloud computing and IoT. The Smart Devices are connected straight to a Cloud application to perform calculations which are too complex for a on-site computation. This has the advantage that the resources of the cloud application can be scaled horizontally under heavy load, e.g. due to many connected devices. However, due to cost reasons, it may not be possible to allocate additional resources. Alternatively, the transmission rate of the smart devices can be reduced to reduce the incoming messages and thus the load on the cloud application. For this a controller is needed, which is able to calculate the magnitude of the adaptation of the transmission rate. In addition, the compliance with quality of service requirements should also be ensured. In the course of this thesis we design such a feedback controller based on fuzzy logic, which also pays attention to the compliance with quality of service requirements. | |