Cover Page
The handle http://hdl.handle.net/1887/18620 holds various files of this Leiden University dissertation.
Author: Tran, Minh Ngoc
Title: Workload modeling and performance evaluation in parallel systems
Issue Date: 2012-03-22
Acknowledgements
I have experienced four years in Leiden, as a PhD student, with lots of memories, where I received many kind helps from colleagues, friends, and my family members.
Therefore, I would like to thank them since I probably could not have nished my research well without their helps.
I am grateful to Thieu, Mattias, Kristian, Gerard, Walter, Vian, Saskia, for their kind supports on commenting my thesis, interesting discussion and social life.
I would like to thank my Vietnamese friends, who gave me unforgettable parties that made my life in the Netherlands more exciting and relaxing.
I express my special thanks to my parents and my younger sister. I always feel comfortable and motivated every time I see their dear face. Last but not least, my most special thanks are dedicated to Thuy, my darling wife, for sharing my di culties and giving me an invaluable present: Gia Khuong, our lovely son.
126 Acknowledgements
Curriculum Vitae
Tran Ngoc Minh was born on December 15, 1982, in Dong Nai, Vietnam. He received the BEng degree in computer engineering in 2005 from Ho Chi Minh University of Technology (HCMUT), Vietnam. Since 2005 he was recruited as a young lecturer at HCMUT. At the same time, he pursued and obtained the MSc degree in com- puter science in 2007, also from HCMUT. In the summer of 2007, he was oered a DAAD scholarship for short-term research at the Interdisciplinary Center for Scien- ti c Computing, University of Heidelberg, Germany. Since April 2008, he joined the Leiden Institute of Advance Computer Science at Leiden University, the Netherlands, where he pursued and obtained a PhD degree in computer science on March 2012.
His research interests are in the areas of resource management and scheduling, par- ticularly in performance analysis, modeling and evaluation of large-scale parallel and distributed systems.
