Minxian Xu

Chinese Academy of Sciences — China

Computer Science · Physical Sciences

28h-index4.1kcitations120works4.22yr avg
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Research Topics

IoT and Edge/Fog Computing(67), Cloud Computing and Resource Management(66), Software System Performance and Reliability(21), Distributed and Parallel Computing Systems(19), Blockchain Technology Applications and Security(18)

Publications120 total

DOPO: A Dynamic PD-Disaggregation Architecture for Maximizing Goodput in LLM Inference Serving
arXiv (Cornell University)·2025Open Access
Trust‐Enabled Decentralized Task Offloading for Collaborative Edge Computing Using Blockchain and Deep Reinforcement Learning
Software Practice and Experience·2025· 1 cited
Gravity-GNN: Deep Reinforcement Learning Guided Space Gravity-based Graph Neural Network
2025Open Access
BucketServe: Bucket-Based Dynamic Batching for Smart and Efficient LLM Inference Serving
2025
BanaServe: Unified KV Cache and Dynamic Module Migration for Balancing Disaggregated LLM Serving in AI Infrastructure
arXiv (Cornell University)·2025Open Access
A Toolkit for Sustainable Educational Environment in the Modern AI Era: Guidelines for Mitigating the Misuse of GenAI in Assessments
2025· 1 citedOpen Access
TD3-Sched: Learning to Orchestrate Container-based Cloud-Edge Resources via Distributed Reinforcement Learning
arXiv (Cornell University)·2025Open Access
GMHA: Growable Meta-Heuristic Algorithm for Multi-Objective Optimization Problems and its Application in Cloud Scheduling
IEEE Transactions on Services Computing·2025
GreenK8s: Green-aware Scheduling for Sustainable Kubernetes Cluster Management
2025
SealOS+: A Sealos-based Approach for Adaptive Resource Optimization Under Dynamic Workloads for Securities Trading System
2025
C-Koordinator: Interference-aware Management for Large-scale and Co-located Microservice Clusters
arXiv (Cornell University)·2025Open Access
Trust-enabled Decentralized Task Offloading for Collaborative Edge Computing Using Blockchain and Deep Reinforcement Learning
2025Open Access
Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling
arXiv (Cornell University)·2025Open Access
Cloud Native System for LLM Inference Serving
arXiv (Cornell University)·2025Open Access
BucketServe: Bucket-Based Dynamic Batching for Smart and Efficient LLM Inference Serving
arXiv (Cornell University)·2025Open Access
BrownoutServe: SLO-Aware Inference Serving under Bursty Workloads for MoE-based LLMs
arXiv (Cornell University)·2025Open Access
Auto-scaling Approaches for Cloud-native Applications: A Survey and Taxonomy
arXiv (Cornell University)·2025Open Access
A Cross-Workload Power Prediction Method Based on Transfer Gaussian Process Regression in Cloud Data Centers
IEEE Transactions on Cloud Computing·2025
SealOS+: A Sealos-based Approach for Adaptive Resource Optimization Under Dynamic Workloads for Securities Trading System
arXiv (Cornell University)·2025Open Access
Cloudnativesim: A Toolkit for Modeling and Simulation of Cloud‐Native Applications
Software Practice and Experience·2025· 3 citedOpen Access
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Frequent Co-authors

Sukhpal Singh Gill(21), Huaming Wu(17), Rajkumar Buyya(13), Chengzhong Xu(12), Steve Uhlig(10), Kejiang Ye(8), Wenhong Tian(8), Muhammed Golec(7), Omer Rana(7), Schahram Dustdar(6), Junhui Du(5), Rami Bahsoon(4), Vlado Stankovski(4), Manmeet Singh(4), Soumya K. Ghosh(4), Ajith Kumar Parlikad(4), Salil S. Kanhere(4), Rizos Sakellariou(4), Adel N. Toosi(4), Félix Cuadrado(4)