MiDas: Minimizing Datasets in Container-based Applications via I/O Specialization

Team Members

• Sibin Mohan
• Chaitra Niddodi

Collaborators

• Ashish Gehani, SRI International
• Jorge Navas, SRI International
• Tanu Malik, DePaul University

Overview

This project focuses on reducing the size of application packages by identifying and including only the relevant chunks of data along with the application.

Funding

This project is supported by a grant from National Science Foundation (NSF) and the Office of Naval Reserach (ONR).

Related Publications

• C. Niddodi, A. Gehani, T. Malik, J. A. Navas, S. Mohan (2020). “MiDas: Containerizing Data-Intensive Applications with I/O Specialization”. Accepted for publication at the 3rd International Workshop on Practical Reproducible Evaluation of Systems (P-RECS’20), affiliated with the 29th International Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC 2020).

News

• Debloating Containers [Oct 2017]