Y. Richard Yang

Latest

• An Objective-Driven On-Demand Network Abstraction for Adaptive Applications
• Update Algebra: Toward Continuous, Non-Blocking Composition of Network Updates in SDN
• On Max-min Fair Allocation for Multi-source Transmission
• Unicorn: Unified resource orchestration for multi-domain, geo-distributed data analytics
• Fine-Grained, Multi-Domain Network Resource Abstraction as a Fundamental Primitive to Enable High-Performance, Collaborative Data Sciences
• SFP: Toward Interdomain Routing for SDN Networks (Poster)
• Fine-Grained, Multi-Domain Network Resource Abstraction as a Fundamental Primitive to Enable High-Performance, Collaborative Data Sciences (Poster)
• Trident: toward a unified SDN programming framework with automatic updates
• DDP: Distributed Network Updates in SDN
• Toward the First SDN Programming Capacity Theorem on Realizing High-Level Programs on Low-Level Datapaths
• Prophet: Fast Accurate Model-based Throughput Prediction for Reactive Flow in DC Networks
• NOVA: Towards on-demand equivalent network view abstraction for network optimization
• ORSAP: Abstracting routing state on demand (Poster)
• FAST: A Simple Programming Abstraction for Complex State-Dependent SDN Programming (Poster)
• Magellan: Generating Multi-Table Datapath from Datapath Oblivious Algorithmic SDN Policies (Poster)