[2A/M1] Replaying industrial workload traces of a FaaS platform
Keywords: cloud, Function-as-a-Service, performance analysis, Docker
Details: subject (PDF).
Summary: FaaSLoad is a software for workload injection and monitoring. Its target is collecting and analyzing data about the execution of the FaaS platform and the FaaS applications. The goal of the internship is to allow FaaSLoad to replay real workload traces, which is a non trivial task given the nature of these.
Contact: Mathieu Bacou (firstname.lastname@example.org). Provide a resume and a transcript of M1 marks as possible.
- One M1 student, with an interest in the cloud of the future and its current research.
- High-level programming (Python, or intern’s choice).
- Paid project (~600€/m), 5 to 6 months, starting between January and May 2023.
- Location: Télécom SudParis, Évry (9 rue Charles Fourier) or Palaiseau (19 place Marguerite Perey) campus (choice left to the intern), possible remotely.