Seminar - Hot Topics in Edge Computing (2025)
Course Description
Cloud computing has created a radical shift in application services and has expanded the reach of computing, networking and data storage to its users. However, growing popularity of emerging latency-sensitive, data-heavy applications such as Internet-of-Things (IoT), autonomous vehicles (AV), artificial intelligent applications (AI), Augmented Reality/Virtual Reality/Mixed Reality (AR/VR/MR), and smart cities have motivated research in new computing paradigm, edge computing.
Edge computing is a (semi-) distributed computing paradigm which aims to bring existing cloud services and utilities near end-users. Unlike traditional cloud datacenters, edge resources are deployed in close proximity to end-users and sensors, e.g. routers, base stations, and smart speakers which allows them to provide support for mobility, context awareness and data aggregation in computations. Edge computing is becoming more important for the academia and industry alike, and significant efforts are being made to standardize its deployment, management and operation.
The Hot Topics in Edge Computing seminar will explore latest advances, challenges, and hot topics relevant in edge computing research. The aim of this seminar will be to motivate participants to investigate following topics relevant to edge computing research:
- Edge AI (Their motivation, advantages, and challenges)
- Distributed/collaborate/collective computing at the Edge
- Real-time applications for Edge computing (e.g. video analytics, AVs, AR/VR/MR)
- Network communication between client, edge and cloud (e.g. satellites/LEO commu.)
- Mobility, reliability and availability in Edge computing
- Hardware and protocols enabling Edge computing (e.g. FPGAs, edge accelerators)
- Frameworks and programming models for Edge
- Security and privacy at the Edge (e.g. Trusted Execution Environments, Secure containers)
Pre-course meeting
There will be no pre-course meeting. The structure and procedure of the seminar are outlined in these Seminar Course Informational Slides
Previous Knowledge Expected:
- Interested in distributed systems, networking, or cloud computing.
- Have technical background in computer science, computer engineering, software engineering, or a related field.
- Have basic knowledge of computer networks, operating systems, programming languages.
- Ability to read and present in English. Good team work and communication skills.
Moodle page
TBD
Time and location
The seminar sessions will be hold on-site. (Only reasonable excuses can lead to an online participation)
Dates and times: see Moodle
Objective
Upon completion of the seminar, the students will
- have broadened their knowledge on the current state of the Edge computing research and gaps
- gain critical thinking and analytical skills to review and evaluate research papers
- become familiar with reading, reviewing, and presenting academic papers in a setting similar to a scientific peer review process
Languages of Instruction
English
Teaching and Learning Method
> (Transfer of Skills) Workload for Students
Workload:
Given a list of papers, each participant will be required to:
- Write 3 reviews (2 for pure review, 1 for review and presenting) (about 6-12 hours workload, 40% of final grade)
- Present 1 paper during the semester (about 4-10 hours workload, 40% of final grade)
- Attend and participate sessions (about 2-3 hours/session x 3 session, 20% of final grade)
Workflow:
1. Each participant could submit their preference (2-3 preference to topics)
2. The lecturer will assign papers to them for review (2 papers) and present (1 paper)
3. The participants finish and submit reviews before the DDLs(sessions). There will be a paper presenting schedule, please find the corresponding sessions for your papers.
4. The presenter present the paper (15-20mins) and the corresponding reviewers participate in the discussion (10-15 mins)
(The exact numbers may slightly vary due to the registered students.)
Further Reading
- S. Keshav. "How to read a paper"
- William G. Griswold, "How to Read an Engineering Research Paper"
- Graham Cormode. 2009. "How NOT to review a paper: the tools and techniques of the adversarial reviewer."
- J Smith. "The Task of the Referee"
Contact
Please subject your email with “Seminar Edge Computing - [your query]” to both of us, thanks.
- Wei Geng <wei.geng@tum.de> Office Hours: 13-13:30 Mon, Wed, Fri (Email preferred)
- Justus Fries <fries[at]in.tum.de>