The University of Oslo is closed. The PhD defence and trial lecture will therefore be fully digital and streamed directly using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.
Ex auditorio questions: the chair of the defence will invite the audience to ask ex auditorio questions either written or oral. This can be requested by clicking 'Participants -> Raise hand'.
Trial lecture
"Fog Computing"
Main research findings
Modern computer networks are emerging to connect billions of devices around the globe. Using a virtually infinite connected electronic devices by users around the world makes networking a challenging issue. Establishing and maintaining the performance of such networks are out of power of humans. Thus, we need to employ automated management techniques to reduce human-intervention. The topics covered in this thesis including, but not limited to: network establishment, network traffic monitoring and analyzing, and network resource utilization. As there are various types of networks, the thesis has focused on large-scale networks containing a high number of devices with unsimilar hardware and applications. These characteristics of the networks make them very complex and resource consuming to manage. In addition, as the users devices transfer data with no foreseeable plan, monitoring the performance of such networks is a complicated and resource-hungary task. Establishing and maintaining the efficiency of the networks need to optimize the resource consumption of network traffic monitoring and analyzing. The thesis has focused on designing and using the artificial intelligence and heuristic models to establish the large-scale networks, monitor the performance of networking and utilizing the resources that should be consumed to maintain the efficiency of communications among devices.Modern computer networks are emerging to connect billions of devices around the globe. Using a virtually infinite connected electronic devices by users around the world makes networking a challenging issue. Establishing and maintaining the performance of such networks are out of power of humans. Thus, we need to employ automated management techniques to reduce human-intervention. The topics covered in this thesis including, but not limited to: network establishment, network traffic monitoring and analyzing, and network resource utilization. As there are various types of networks, the thesis has focused on large-scale networks containing a high number of devices with unsimilar hardware and applications. These characteristics of the networks make them very complex and resource consuming to manage. In addition, as the users devices transfer data with no foreseeable plan, monitoring the performance of such networks is a complicated and resource-hungary task. Establishing and maintaining the efficiency of the networks need to optimize the resource consumption of network traffic monitoring and analyzing. The thesis has focused on designing and using the artificial intelligence and heuristic models to establish the large-scale networks, monitor the performance of networking and utilizing the resources that should be consumed to maintain the efficiency of communications among devices.
Contact information to Department: Mozhdeh Sheibani Harat