PhD Defence • Systems and Networking — Adaptive CPU Allocation for Resource Isolation and Work Conservation
Please note: This PhD defence will be given online.
Cong Guo, PhD candidate
David R. Cheriton School of Computer Science
Cong Guo, PhD candidate
David R. Cheriton School of Computer Science
Mark Iwanchyshyn, Master’s candidate
David R. Cheriton School of Computer Science
Lakshmanan Arumugam, Master’s candidate
David R. Cheriton School of Computer
Gaurav Gupta, Master’s candidate
David R. Cheriton School of Computer Science
Michael Honke, Master’s candidate
David R. Cheriton School of Computer Science
Owen Merkel, Master’s candidate
David R. Cheriton School of Computer Science
Aseem Baranwal, Master’s candidate
David R. Cheriton School of Computer Science
Chufeng Hu, Master’s candidate
David R. Cheriton School of Computer Science
Local graph clustering methods are used to find small- and medium-scale clusters without traversing the graph. It has been shown that the combination of the Approximate Personalized PageRank (APPR) algorithm and the sweep method can efficiently detect a small cluster around the starting vertex.
Alexandre Parmentier, Master’s candidate
David R. Cheriton School of Computer Science
This thesis presents two works with the shared goal of improving the capacity of multiagent trust modeling to be applied to social networks.
Ibrahim Kettaneh, Master’s candidate
David R. Cheriton School of Computer Science