Scope & Research Areas

DCperf focuses on the performance optimization of data center and cloud-edge infrastructures, with emphasis on architectures, algorithms, and systems for next-generation distributed applications.

Core Research Areas

• Data Center Network Performance — Topology design, load balancing, traffic engineering, congestion control, QoS in data center networks
• Cloud-Edge Infrastructure — Multi-tier cloud-edge architectures, CDN performance optimization, edge caching, latency-sensitive workload placement
• AI-Driven Infrastructure Management — Reinforcement learning for resource allocation, ML-based anomaly detection, predictive auto-scaling, intelligent traffic steering
• Distributed Systems Performance — Performance modeling of distributed storage, compute, and networking systems at global scale
• Software-Defined Infrastructure — SDN/NFV for data centers, programmable data planes (P4), service mesh and proxy performance (Envoy, eBPF)
• Content Delivery & Application Acceleration — CDN architectures, DNS-based traffic management, edge proxy optimization, multi-CDN strategies
• Next-Generation Network Architectures — 5G/6G core networks, network slicing, cloud-native network functions, open RAN performance
• Observability & Telemetry — Performance monitoring, distributed tracing, telemetry data processing, real-time analytics for infrastructure operations

Positioning

DCperf is distinguished by its focus on performance and future architectures. While general distributed systems conferences cover a broad range, DCperf provides a dedicated forum for research addressing the performance challenges of evolving data center and edge-cloud infrastructures — from core data centers to the network edge.

The workshop is particularly relevant to practitioners and researchers working on CDN infrastructure, cloud networking, edge computing platforms, and AI-driven operations — areas where performance optimization directly impacts user experience and operational efficiency.