activity
20242026
collaborators

9 papers

cs.DC2026

Preserving Admission Responsibility in Multi-Tenant Large Language Model Prefix Caches

Zhiyu Wang, Rajkumar Buyya

Shared prefix caching turns Graphics Processing Unit (GPU) memory into persistent state shared across Large Language Model (LLM) tenants. A group that materializes new Key-Value (K…

cs.DC2026

PrefixPlace: Provable Prefix Key-Value Placement for Large Language Model Serving under Heterogeneous Compute and Transfer Costs

Zhiyu Wang, Rajkumar Buyya

Prefix Key-Value (KV) reuse avoids repeated prefill in Large Language Model (LLM) inference, but local misses require recomputation or replica fetches. Their relative cost varies w…

cs.DC2026

ReinFog: A Deep Reinforcement Learning Empowered Framework for Resource Management in Edge and Cloud Computing Environments

Zhiyu Wang, Mohammad Goudarzi, Rajkumar Buyya

The growing IoT landscape requires effective server deployment strategies to meet demands including real-time processing and energy efficiency. This is complicated by heterogeneous…

cs.LG2026

DeFRiS: Silo-Cooperative IoT Applications Scheduling via Decentralized Federated Reinforcement Learning

Zhiyu Wang, Mohammad Goudarzi, Mingming Gong +1

Next-generation IoT applications increasingly span across autonomous administrative entities, necessitating silo-cooperative scheduling to leverage diverse computational resources…

cs.DC2026

A Risk-Aware UAV-Edge Service Framework for Wildfire Monitoring and Emergency Response

Yulun Huang, Zhiyu Wang, Rajkumar Buyya

Wildfire monitoring demands timely data collection and processing for early detection and rapid response. UAV-assisted edge computing is a promising approach, but jointly minimizin…

cs.DC2026

Performance and Security Aware Distributed Service Placement in Fog Computing

Mohammad Goudarzi, Arash Shaghaghi, Zhiyu Wang +1

The rapid proliferation of IoT applications has intensified the demand for efficient and secure service placement in Fog computing. However, heterogeneous resources, dynamic worklo…