Gustavo Alonso: Katalogdaten im Frühjahrssemester 2021

NameHerr Prof. Dr. Gustavo Alonso
LehrgebietInformatik
Adresse
Institut für Computing Platforms
ETH Zürich, STF K 513
Stampfenbachstrasse 114
8092 Zürich
SWITZERLAND
Telefon+41 44 632 73 06
E-Mailalonso@inf.ethz.ch
URLhttp://www.inf.ethz.ch/~alonso
DepartementInformatik
BeziehungOrdentlicher Professor

NummerTitelECTSUmfangDozierende
252-0817-00LDistributed Systems Laboratory Information 10 KP9PG. Alonso, T. Hoefler, A. Klimovic, A. Singla, R. Wattenhofer, C. Zhang
KurzbeschreibungEntwicklung und / oder Evaluation eines umfangreicheren praktischen Systems mit Technologien aus dem Gebiet der verteilten Systeme. Das Projekt kann aus unterschiedlichen Teilbereichen (von Web-Services bis hin zu ubiquitären Systemen) stammen; typische Technologien umfassen drahtlose Ad-hoc-Netze oder Anwendungen auf Mobiltelefonen.
LernzielErwerb praktischer Kenntnisse bei Entwicklung und / oder Evaluation eines umfangreicheren praktischen Systems mit Technologien aus dem Gebiet der verteilten Systeme.
InhaltEntwicklung und / oder Evaluation eines umfangreicheren praktischen Systems mit Technologien aus dem Gebiet der verteilten Systeme. Das Projekt kann aus unterschiedlichen Teilbereichen (von Web-Services bis hin zu ubiquitären Systemen) stammen; typische Technologien umfassen drahtlose Ad-hoc-Netze oder Anwendungen auf Mobiltelefonen. Zu diesem Praktikum existiert keine Vorlesung. Bei Interesse bitte einen der beteiligten Professoren oder einen Assistenten der Forschungsgruppen kontaktieren.
252-3510-00LComputing Platforms Information Belegung eingeschränkt - Details anzeigen
The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
2 KP2SG. Alonso, M. J. Giardino, I. Müller, C. Zhang
KurzbeschreibungThe seminar covers core concepts and ideas in the general area of computer systems, ranging from software and hardware architectures to system design for operating systems, data processing systems, and distributed systems.
LernzielThe seminar will cover core concepts and ideas in the general area of computer systems, ranging from software and hardware architectures to system design for operating systems, data processing systems, and distributed systems. The focus will be on fundamental ideas that apply across systems and application areas but with an emphasis on those ideas that apply to cloud platforms and hardware acceler
InhaltThe seminar will consist on student presentations based on a list of papers that will be provided at the beginning of the course. Presentations will be done in teams. Presentations will be arranged in slots of 30 minutes talk plus 15 minutes questions. Grades will be assigned based on quality of the presentation, coverage of the topic including material not in the original papers, participation during the seminar, and ability to understand, present, and criticize the underlying technology.
263-3855-00LCloud Computing Architecture Information 9 KP3V + 2U + 3AG. Alonso, A. Klimovic
KurzbeschreibungCloud computing hosts a wide variety of online services that we use on a daily basis, including web search, social networks, and video streaming. This course will cover how datacenter hardware, systems software, and application frameworks are designed for the cloud.
LernzielAfter successful completion of this course, students will be able to: 1) reason about performance, energy efficiency, and availability tradeoffs in the design of cloud system software, 2) describe how datacenter hardware is organized and explain why it is organized as such, 3) implement cloud applications as well as analyze and optimize their performance.
InhaltIn this course, we study how datacenter hardware, systems software, and applications are designed at large scale for the cloud. The course covers topics including server design, cluster management, large-scale storage systems, serverless computing, data analytics frameworks, and performance analysis.
SkriptLecture slides will be available on the course website.
Voraussetzungen / BesonderesUndergraduate courses in 1) computer architecture and 2) operating systems, distributed systems, and/or database systems are strongly recommended.