distributed systems

Introduction This is the final blog for our contribution to the Open Testbed for Reproducible Evaluation of Replicated Systems at the Edges project under the mentorship of Fadhil Kurnia for the OSRE program.

I am sharing a overview of my project Reproducibility of Interactive Notebooks in Distributed Environments and the work that I did this summer. Project Overview This project aims at improving the reproducibility of interactive notebooks which are executed in a distributed environment.

Introduction Hello there, I’m Michael. In this report, I’ll be sharing my progress as part of the Open Testbed for Reproducible Evaluation of Replicated Systems at the Edges project under the mentorship of Fadhil Kurnia.

Hello! I’m Panji Sri Kuncara Wisma and I want to share my midterm progress on the “Open Testbed for Reproducible Evaluation of Replicated Systems at the Edges” project under the mentorship of Fadhil I.

Creating a comprehensive framework to enable fair comparison of edge replication systems and coordination protocols through standardized benchmarking tools and realistic workload simulation.

This is now common practice and an efficient way to track activities within OSRE projects. Include links to proposals, presentations, reports, and experience.

Improving reproducibility of interactive notebooks in large-scale, distributed environments

Project Description Topics: Distributed systems Skills: Java, Go, Python, Bash scripting, Linux, Docker. Difficulty: Hard Size: Large (350 hours) Mentors: Fadhil I. Kurnia Replication is commonly employed to improve system availability and reduce latency.

Project Idea Description Topics: HPC, MPI, distributed systems Skills: C++, Python Difficulty: Difficult Size: Large; 350 hours Mentors: Tanu Malik Notebooks have gained wide popularity in scientific computing. A notebook is both a web-based interactive front- end to program workflows and a lightweight container for sharing code and its output.

Topics: Distributed systems, Scalability, Bug analysis, Bug reproducibility Skills: Java, Python, bash scripting, perf, Linux internals Difficulty: Hard Size: Large (350 hours) Mentors: Bogdan "Bo" Stoica (contact person), Yang Wang