Ana Klimovic: Catalogue data in Spring Semester 2023 |
| Name | Prof. Dr. Ana Klimovic |
| Field | Computer Science and Engineering |
| Address | Institut für Computing Platforms ETH Zürich, STF K 514 Stampfenbachstrasse 114 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 70 85 |
| aklimovic@ethz.ch | |
| URL | https://anakli.inf.ethz.ch/ |
| Department | Computer Science |
| Relationship | Assistant Professor (Tenure Track) |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 252-0817-00L | Distributed Systems Laboratory  | 10 credits | 9P | G. Alonso, T. Hoefler, A. Klimovic, T. Roscoe, 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. | ||||
| 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. | ||||