I’m Pamela Delgado. I received my PhD in Computer Science from EPFL Switzerland in 2018. My PhD thesis focused on providing better scheduling and large-scale resource management solutions for data centers.
My research interests include data center scheduling, cloud computing, distributed systems and systems support for data science.
My research was supported by Microsoft Research and made part of a project of the Swiss Joint Research Center at Microsoft. I am also recipient of the Google Anita Borg Memorial Scholarship on 2013 and the Swiss Government Excellence Scholarship for Foreign Students.
- “Kairos: Preemptive Data Center Scheduling Without Runtime Estimates”, P. Delgado; D. Didona; F. Dinu; W. Zwaenepoel. 2018-10-11. In proceedings of the 9th ACM Symposium on Cloud Computing (SoCC), Carlsbad, California, USA, October 11-13, 2018. DOI : 10.1145/3267809.3267838. paper slides
- “Job-Aware Scheduling in Eagle: Divide and Stick to Your Probes” P. Delgado; D. Didona; F. Dinu; W. Zwaenepoel. 2016-10-05. In proceedings of the 7th ACM Symposium on Cloud Computing (SoCC), Santa Clara, California, USA, October 5-7, 2016. p. 497-509. DOI : 10.1145/2987550.2987563. paper slides
- “Hawk: Hybrid Data Center Scheduling”, P. Delgado; F. Dinu; A-M. Kermarrec; W. Zwaenepoel. 2015-07-08. In proceedings of the 2015 USENIX Annual Technical Conference, Santa Clara, CA, USA, July 8-10, 2015. p. 499-510. paper slides
- “Distal: A Framework for Implementing Fault-Tolerant Distributed Algorithms”, M. Biely; P. Delgado; Z. Milosevic; A. Schiper. 2013. 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Budapest, Hungary, June 24-27, 2013. paper
Google scholar profile: https://scholar.google.ch/citations?user=jPv-i3kAAAAJ
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