CS 7680 Special Topics in Systems - 2022 Spring

Serverless Computing

Course Information

Serverless computing is a new model and trend in the cloud that allows users to run tasks without having to manage virtual machine instances. Users are mainly responsible for writing the "function" for the task that they want to run and the cloud provider schedules, deploys, and scales the task. The user only pays for the function invocation and the serverless model is more economical than the conventional VM-based models. The serverless paradigm is changing the way how people write and deploy large-scale distributed computing jobs to the cloud and its usage is expected to grow.

This course is a seminar-style course which explores research topics related to serverless computing and its applications. The first few classes will be led by the instructor to cover the overview of serverless computing and the rest of the class will be based on reading, presenting, and discussing papers in the relevant area. Each student will present a few papers throughout the semester and will engage in a semester-long project.

  • Time: Tuesdays 11:45 am - 1:25 pm and Thursdays 2:50 pm - 4:30 pm.

  • Location: room 158, Ryder Hall.

  • Textbook: no required textbook

Instructor

Tools for the course

  • This webpage: the main course webpage, schedule & reading list, presentation slides, etc.

  • Canvas: announcement notifications (please subscribe to Canvas email) and assignments

  • MS Teams: office hours and online discussions.

Schedule and Reading List

Refer to the schedule page at the top right menu or click here.

Grades

The grade will be based on one programming assignment (10%), one semester-long project (40%), paper presentations & discussion-leading (30%), paper critiques (10%), and course participation (10%).

* The percentage can change depending on the presentation load.

Assignments

TBD.

Projects

Students will choose their own topic related to serverless computing and work on the project throughout the semester.

Late Policy

The grade for late submissions will be deducted by 1/3 of the grade without the penalty each day.

Resources

The papers in the schedule are the main resources for this course. Some other useful resources are:

Academic Integrity

This course complies with the Northeastern University's Academic Integrity Policy: http://www.northeastern.edu/osccr/academic-integrity-policy/