This project focuses on simulating a multi-tier storage system🔺, with an emphasis on data management📂🔄 through the implementation of various placement policies 🔺⬆️⬇️ . The goal is to analyze the performance and efficiency of different data placement and eviction strategies📊⚡🚀 .

FUSE-based File System for Leveraging Flexible Data Placement

A Data and Service placement strategy for edge networks

The ecoHMEM framework is a user-level framework that performs automatic object-level placement on heterogeneous memory systems such as DRAM and Persistent Memory.

Storage Switch System via Zero-Suppressed Binary Decision Diagram

A research simulation framework for optimizing data placement across edge servers to minimize total access time. Provides configurable bandwidth models and performance metrics for edge computing research.

Proof-of-concept demonstrating Apache Kafka rack-aware topic placement across distributed datacenters using Docker Compose, KRaft mode, and Strimzi on Kubernetes