A method for predicting hardware resource usage for Electronic Control Units

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/219421
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Type: Examensarbete för masterexamen
Master Thesis
Title: A method for predicting hardware resource usage for Electronic Control Units
Authors: Elghoz, Mohammed
Nilsson, Einar
Abstract: The telematic gateway unit is used in vehicles for communication with a backoffice. The unit is an Electronic Control Unit (ECU) and the communication could for example be used to send the current position of the vehicle, the status of the vehicle components, or the current up-time of the vehicle to the backoffice. The hardware resources on the telematics gateway unit are limited and with increasing functionality of the unit increasing amounts of hardware resources are needed. This thesis work was carried out on the onboard telematics department of Volvo Group Trucks and the main focus was to find a method to predict the required hardware resources needed when adding or changing functions on the telematics gateway unit. After studying around 60 different articles, 9 interesting approaches were found. Regression analysis was found to be the most suited for predicting the hardware resources. The method that is proposed in the report firstly, gather data regarding the resources used on the telematic gateway unit. Secondly, multiple regression is applied to the gathered data to make the predictions of the hardware resource chosen. Limited tests were carried out on the predicted values, the tests indicated that predictions on the hardware resources were possible. The predictions made with multiple regression can be used to roughly estimate the amount of resources a new function will require. However, implementing the prediction method requires measuring more resource data than is currently done by the onboard telematics department.
Keywords: Data- och informationsvetenskap;Informations- och kommunikationsteknik;Computer and Information Science;Information & Communication Technology
Issue Date: 2015
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/219421
Collection:Examensarbeten för masterexamen // Master Theses



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