Chairs

Introduction

The rapid growth of artificial intelligence (AI), cloud computing, and data-intensive applications has generated growing demands for high-performance, scalable, and intelligent storage systems. Emerging storage technologies and architectures, including high-density flash-based SSDs, computational storage, and AI-oriented storage infrastructures, are transforming modern distributed computing environments. Meanwhile, supporting diverse workloads with efficient resource management, performance isolation, and hardware-software co-design remains a major challenge.

This track focuses on Intelligent Storage Systems for AI, Cloud, and High-Performance Distributed Computing, bringing researchers to present the latest advances in storage architectures, resource management, computational storage, virtualization, multi-tenant QoS, hardware-software co-design, and storage systems for AI and large-scale data analytics. We welcome original research that advances next-generation storage technologies for cloud and high-performance distributed computing.

Topics

• Flash Storage Systems and SSD Architecture
• Storage Resource Management for Cloud and Distributed Systems
• Computational Storage and Near-Data Processing
• Storage Virtualization and Multi-Tenant QoS Isolation
• Hardware-Software Co-design for Next-Generation Storage Systems
• AI Infrastructure Storage for Large Language Models and Data Analytics

Important Date

We are pleased to announce the important dates for PDCAT 2026. Please mark your calendars!
All deadlines are based on Anywhere on Earth (AoE), at midnight on the specified date.

• Paper Submission Deadline: 31 August, 2026 (AoE)
• Notification of Acceptance: 10 October, 2026
• Camera-Ready Submission Deadline: 31 October, 2026
• Conference Dates: 4-6 December, 2026