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Update research projects: remove 3 projects and add next-generation storage
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content/project/distributed-systems/index.md

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content/project/ml-systems/index.md

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---
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title: Next-Generation Storage Technologies
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date: 2024-12-15
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tags:
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- Storage Systems
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- NVMe
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- Persistent Memory
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- Storage Architecture
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summary: Advancing storage system performance through novel architectures, intelligent caching, and hardware-software co-design for modern datacenter workloads
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---
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## Overview
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Our research in next-generation storage technologies focuses on breaking through the performance barriers of traditional storage systems. We explore innovative approaches to storage architecture, from persistent memory integration to intelligent I/O scheduling, addressing the growing demands of modern datacenter applications.
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## Key Research Areas
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### Persistent Memory Integration
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- Hybrid memory-storage architectures
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- Data placement optimization across memory tiers
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- Application-aware data management policies
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### Intelligent Storage Systems
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- Machine learning-driven I/O prediction and optimization
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- Adaptive caching strategies for heterogeneous workloads
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- Dynamic resource allocation in storage clusters
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### Hardware-Software Co-Design
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- Custom storage accelerators and programmable devices
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- Operating system optimizations for next-generation storage
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- Cross-layer optimization from applications to hardware
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## Impact and Applications
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Our storage technologies target critical challenges in:
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- **Cloud Infrastructure**: Enabling efficient resource utilization in large-scale deployments
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- **Data-Intensive Computing**: Accelerating analytics and machine learning workloads
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- **Edge Computing**: Optimizing storage for resource-constrained environments
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- **Enterprise Systems**: Improving reliability and performance for mission-critical applications

content/project/storage-optimization/index.md

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