Gustavo Alonso: Catalogue data in Spring Semester 2022

Name	Prof. Dr. Gustavo Alonso
Field	Informatik
Address	Institut für Computing Platforms ETH Zürich, STF K 513 Stampfenbachstrasse 114 8092 Zürich SWITZERLAND
Telephone	+41 44 632 73 06
E-mail	alonso@inf.ethz.ch
URL	http://www.inf.ethz.ch/~alonso
Department	Computer Science
Relationship	Full Professor

Number	Title	ECTS	Hours	Lecturers
252-0817-00L	Distributed Systems Laboratory	10 credits	9P	G. Alonso, T. Hoefler, A. Klimovic, R. Wattenhofer, C. Zhang
Abstract	This course involves the participation in a substantial development and/or evaluation project involving distributed systems technology. There are projects available in a wide range of areas: from web services to ubiquitous computing including as well wireless networks, ad-hoc networks, and distributed application on mobile phones.
Learning objective	Students acquire practical knowledge about technologies from the area of distributed systems.
Content	This course involves the participation in a substantial development and/or evaluation project involving distributed systems technology. There are projects available in a wide range of areas: from web services to ubiquitous computing including as well wireless networks, ad-hoc networks, and distributed application on mobile phones. The objecte of the project is for the students to gain hands-on-experience with real products and the latest technology in distributed systems. There is no lecture associated to the course.
252-3510-00L	Computing Platforms 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 credits	2S	G. Alonso, M. J. Giardino
Abstract	The 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.
Learning objective	The 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
Content	The 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.
263-3855-00L	Cloud Computing Architecture	9 credits	3V + 2U + 3A	G. Alonso, A. Klimovic
Abstract	Cloud 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.
Learning objective	After 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.
Content	In 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.
Lecture notes	Lecture slides will be available on the course website.
Prerequisites / Notice	Undergraduate courses in 1) computer architecture and 2) operating systems, distributed systems, and/or database systems are strongly recommended.