Title | Due Date | Material |
Project 0 | 02/05 (extended) | Project 0 Doc |
Project 1 | 02/20 | Project 1 Doc |
Project Proposal | 03/12 | |
Mid-semester Report | 03/26 | Report Template |
Preliminary Project Report | 04/26 | |
Final Project Report | 05/05 |
A quick dev. project to sharpen C++ skills and to prepare for the upcoming research/dev project.
A small-scale implementation project on data systems.
Every student should complete a semester-long class project. The students can decide between a systems project and a research project.
A system project sharpens your systems skills and provides background on state-of-the-art systems, data structures and algorithms. For a successful systems project you will design and implement a systems component in C or C++, and you will deal with low-level system implementation details like memory allocation and management, cache-aware processing, parallel and concurrent processing and a deeper understanding of read/write performance trade-offs, and performance scalability. Systems projects can be carried out by one student or a group of two students.
This year we will have two topics for a systems project.
A research project, on the other hand, aims at challenging the state-of-the-art. The goal is (i) either to better understand an open research problem through analysis and benchmarking, or (ii) to solve open problems through new designs and proof-of-concept implementations. The ultimate goal of a research project is to give a taste of research to students, and ideally lead to publications. When working on a research project, the student will interact with the instructor and the teaching assistants closely. Students will work in groups of three students.
We have a number of possible research topics below. The students can also propose their own project (subject to instructor's approval).
Quantifying Write Amplification in LSM-based Key-Value Stores on SSDs
Query-driven compaction in LSM-trees
Exploring the Optimal Compaction Strategy for A Given Workload
Finding the Optimal Granularity of Index
Evaluating Sorting Algorithms with Varying Data Sortedness
Measuring the Robustness of Modern Key-Value Stores
Boosting Join Implementation for Skew Correlation in Postgres