A dynamic and integrated load-balancing scheduling algorithm for Cloud datacenters. - Wenhong Tian; Yong Zhao 009; Yuanliang Zhong; Minxian Xu; Chen Jing (CCIS, 2011)

An online load balancing scheduling algorithm for cloud data centers considering real-time multi-dimensional resource. - Minxian Xu; Wenhong Tian (CCIS, 2012)

A Cost-Efficient Scheduling Algorithm for Traffic Grooming. - Xianrong Liu; Wenhong Tian; Minxian Xu; Qin Xiong (FAW-AAIM, 2013)

Prepartition: A new paradigm for the load balance of virtual machine reservations in data centers. - Wenhong Tian; Minxian Xu; Yu Chen; Yong Zhao 009 (ICC, 2014)

FlexCloud: A Flexible and Extendible Simulator for Performance Evaluation of Virtual Machine Allocation. - Minxian Xu; GuoZhong Li; Wutong Yang; Wenhong Tian (SmartCity, 2015)

Prepartition: Paradigm for the Load Balance of Virtual Machine Allocation in Data Centers. - Minxian Xu; Guangchun Luo; Ling Tian; Aiguo Chen; Yaqiu Jiang; GuoZhong Li; Wenhong Tian (CoRR, 2015)

FlexCloud: A Flexible and Extendible Simulator for Performance Evaluation of Virtual Machine Allocation. - Minxian Xu; Wenhong Tian; Xinyang Wang; Qin Xiong (CoRR, 2015)

CloudSimNFV: Modeling and Simulation of Energy-Efficient NFV in Cloud Data Centers. - Wutong Yang; Minxian Xu; GuoZhong Li; Wenhong Tian (CoRR, 2015)

Open-source simulators for Cloud computing: Comparative study and challenging issues. - Wenhong Tian; Minxian Xu; Aiguo Chen; GuoZhong Li; Xinyang Wang; Yu Chen (Simul. Model. Pract. Theory, 2015)

A Toolkit for Modeling and Simulation of Real-Time Virtual Machine Allocation in a Cloud Data Center. - Wenhong Tian; Yong Zhao 009; Minxian Xu; Yuanliang Zhong; Xiashuang Sun (IEEE Trans Autom. Sci. Eng., 2015)

A Survey on Load Balancing Algorithms for VM Placement in Cloud Computing. - Minxian Xu; Wenhong Tian; Rajkumar Buyya (CoRR, 2016)

Energy Efficient Scheduling of Cloud Application Components with Brownout. - Minxian Xu; Amir Vahid Dastjerdi; Rajkumar Buyya (IEEE Trans. Sustain. Comput., 2016)

Energy Efficient Scheduling of Application Components via Brownout and Approximate Markov Decision Process. - Minxian Xu; Rajkumar Buyya (ICSOC, 2017)

A survey on load balancing algorithms for virtual machines placement in cloud computing. - Minxian Xu; Wenhong Tian; Rajkumar Buyya (Concurr. Comput. Pract. Exp., 2017)

Energy-aware Application Components Scheduling based on Brownout and Approximate MDP. - Minxian Xu; Rajkumar Buyya (CoRR, 2017)

Brownout-oriented and energy efficient management of cloud data centers. - Minxian Xu (2018)

Optimized Renewable Energy Use in Green Cloud Data Centers. - Minxian Xu; Adel Nadjaran Toosi; Behrooz Bahrani; Reza Razzaghi; Martin Singh (ICSOC, 2019)

Brownout Approach for Adaptive Management of Resources and Applications in Cloud Computing Systems: A Taxonomy and Future Directions. - Minxian Xu; Rajkumar Buyya (ACM Comput. Surv., 2019)

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. - Sukhpal Singh Gill; Shreshth Tuli; Minxian Xu; Inderpreet Singh; Karan Vijay Singh; Dominic Lindsay; Shikhar Tuli; Daria Smirnova; Manmeet Singh; Udit Jain; Haris Pervaiz; Bhanu Sehgal; et al. (Internet Things, 2019)

BrownoutCon: A software system based on brownout and containers for energy-efficient cloud computing. - Minxian Xu; Rajkumar Buyya (J. Syst. Softw., 2019)

iBrownout: An Integrated Approach for Managing Energy and Brownout in Container-Based Clouds. - Minxian Xu; Adel Nadjaran Toosi; Rajkumar Buyya (IEEE Trans. Sustain. Comput., 2019)

Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations. - Qiheng Zhou; Minxian Xu; Sukhpal Singh Gill; Chengxi Gao; Wenhong Tian; Chengzhong Xu 001; Rajkumar Buyya (CCGRID, 2020)

A Reinforcement Learning Based Approach to Identify Resource Bottlenecks for Multiple Services Interactions in Cloud Computing Environments. - Lingxiao Xu; Minxian Xu; Richard Semmes; Hui Li; Hong Mu; Shuangquan Gui; Wenhong Tian; Kui Wu 001; Rajkumar Buyya (CollaborateCom (2), 2020)

Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. - Minxian Xu; Chengxi Gao; Shashikant Ilager; Huaming Wu; Chengzhong Xu 001; Rajkumar Buyya (CoRR, 2020)

Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things. - Huaming Wu; Ziru Zhang; Chang Guan; Katinka Wolter; Minxian Xu (IEEE Internet Things J., 2020)

Managing renewable energy and carbon footprint in multi-cloud computing environments. - Minxian Xu; Rajkumar Buyya (J. Parallel Distributed Comput., 2020)

Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. - Minxian Xu; Chengxi Gao; Shashikant Ilager; Huaming Wu; Chengzhong Xu 001; Rajkumar Buyya (Mobile Edge Computing, 2021)

EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing. - Huaming Wu; Katinka Wolter; Pengfei Jiao; Yingjun Deng; Yubin Zhao; Minxian Xu (IEEE Internet Things J., 2021)

A Self-Adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing. - Minxian Xu; Adel Nadjaran Toosi; Rajkumar Buyya (IEEE Trans. Sustain. Comput., 2021)

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment. - Minxian Xu; Chenghao Song; Huaming Wu; Sukhpal Singh Gill; Kejiang Ye; Chengzhong Xu 001 (CoRR, 2022)

Cost Control and Efficiency Optimization in Maintainability Implementation of Wireless Sensor Networks based on Serverless Computing. - Tiannan Gao; Minxian Xu (CoRR, 2022)

A multi-output prediction model for physical machine resource usage in cloud data centers. - Yongde Zhang; Fagui Liu; Bin Wang 048; Weiwei Lin 001; Guoxiang Zhong; Minxian Xu; Keqin Li 001 (Future Gener. Comput. Syst., 2022)

TRACTOR: Traffic-aware and power-efficient virtual machine placement in edge-cloud data centers using artificial bee colony optimization. - Sayyid Shahab Nabavi; Sukhpal Singh Gill; Minxian Xu; Mohammad Masdari; Peter Garraghan (Int. J. Commun. Syst., 2022)

BenchSubset: A framework for selecting benchmark subsets based on consensus clustering. - Hongping Zhan; Weiwei Lin 001; Feiqiao Mao; Minxian Xu; Guangxin Wu; Guokai Wu; Jianzhuo Li (Int. J. Intell. Syst., 2022)

AI for next generation computing: Emerging trends and future directions. - Sukhpal Singh Gill; Minxian Xu; Carlo Ottaviani; Panos Patros; Rami Bahsoon; Arash Shaghaghi; Muhammed Golec; Vlado Stankovski; Huaming Wu; Ajith Abraham; Manmeet Singh; Harshit Mehta; et al. (Internet Things, 2022)

HUNTER: AI based holistic resource management for sustainable cloud computing. - Shreshth Tuli; Sukhpal Singh Gill; Minxian Xu; Peter Garraghan; Rami Bahsoon; Schahram Dustdar; Rizos Sakellariou; Omer F. Rana; Rajkumar Buyya; Giuliano Casale; Nicholas R. Jennings (J. Syst. Softw., 2022)

PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing. - Minxian Xu; Qiheng Zhou; Huaming Wu; Weiwei Lin 001; Kejiang Ye; Chengzhong Xu 001 (Softw. Pract. Exp., 2022)

EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments. - Min Xue; Huaming Wu; Ruidong Li 001; Minxian Xu; Pengfei Jiao (IEEE Trans. Green Commun. Netw., 2022)

esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments. - Minxian Xu; Chenghao Song; Huaming Wu; Sukhpal Singh Gill; Kejiang Ye; Chengzhong Xu 001 (ACM Trans. Internet Techn., 2022)

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions. - Zhiheng Zhong; Minxian Xu; Maria Alejandra Rodriguez; Cheng-Zhong Xu 001; Rajkumar Buyya (ACM Comput. Surv., 2022)

CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning. - Minxian Xu; Chenghao Song; Shashikant Ilager; Sukhpal Singh Gill; Juanjuan Zhao; Kejiang Ye; Cheng-Zhong Xu 001 (IEEE Trans. Netw. Serv. Manag., 2022)

ChainsFormer: A Chain Latency-Aware Resource Provisioning Approach for Microservices Cluster. - Chenghao Song; Minxian Xu; Kejiang Ye; Huaming Wu; Sukhpal Singh Gill; Rajkumar Buyya; Cheng-Zhong Xu 001 (ICSOC (1), 2023)

An Interference-aware Approach for Co-located Container Orchestration with Novel Metric. - Xiang Li; Linfeng Wen 001; Minxian Xu; Kejiang Ye (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior. - Juanjuan Zhao; Jiexia Ye; Minxian Xu; Cheng-Zhong Xu 001 (Concurr. Comput. Pract. Exp., 2023)

Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots. - Sukhpal Singh Gill; Minxian Xu; Panos Patros; Huaming Wu; Rupinder Kaur; Kamalpreet Kaur; Stephanie Fuller; Manmeet Singh; Priyansh Arora; Ajith Kumar Parlikad; Vlado Stankovski; Ajith Abraham; et al. (CoRR, 2023)

Fortaleza: The emergence of a network hub. - Eric Bragion; Habiba Akter; Mohit Kumar 004; Minxian Xu; Ahmed M. Abdelmoniem; Sukhpal Singh Gill (CoRR, 2023)

Resource Management for GPT-based Model Deployed on Clouds: Challenges, Solutions, and Future Directions. - Yongkang Dang; Minxian Xu; Kejiang Ye (CoRR, 2023)

Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster. - Minxian Xu; Lei Yang; Yang Wang 006; Chengxi Gao; Linfeng Wen 001; Guoyao Xu; Liping Zhang; Kejiang Ye; ChengZhong Xu 001 (CoRR, 2023)

A review of security issues and solutions for precision health in Internet-of-Medical-Things systems. - Nan Li 011; Minxian Xu; Qimeng Li; Jikui Liu; Shudi Bao; Ye Li 002; Jianzhong Li 001; Hairong Zheng (Secur. Saf., 2023)

Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks. - Chengxi Gao; Shuhui Chu; Hong Xu 001; Minxian Xu; Kejiang Ye; Chengzhong Xu 001 (IEEE Trans. Cloud Comput., 2023)

HunterPlus: AI based energy-efficient task scheduling for cloud-fog computing environments. - Sundas Iftikhar; Mirza Mohammad Mufleh Ahmad; Shreshth Tuli; Deepraj Chowdhury; Minxian Xu; Sukhpal Singh Gill; Steve Uhlig (Internet Things, 2023)

AI-based fog and edge computing: A systematic review, taxonomy and future directions. - Sundas Iftikhar; Sukhpal Singh Gill; Chenghao Song; Minxian Xu; Mohammad Sadegh Aslanpour; Adel Nadjaran Toosi; Junhui Du; Huaming Wu; Shreya Ghosh 002; Deepraj Chowdhury; Muhammed Golec; Mohit Kumar 004; et al. (Internet Things, 2023)

Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center. - Wenhong Tian; Minxian Xu; Guangyao Zhou; Kui Wu 001; Cheng-Zhong Xu 001; Rajkumar Buyya (J. Comput. Sci. Technol., 2023)

Performance Interference of Virtual Machines: A Survey. - Weiwei Lin 001; Chennian Xiong; Wentai Wu; Fang Shi; Keqin Li 001; Minxian Xu (ACM Comput. Surv., 2023)

BlockFaaS: Blockchain-enabled Serverless Computing Framework for AI-driven IoT Healthcare Applications. - Muhammed Golec; Sukhpal Singh Gill; Mustafa Golec; Minxian Xu; Soumya K. Ghosh 001; Salil S. Kanhere; Omer F. Rana; Steve Uhlig (J. Grid Comput., 2023)

TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information. - Linfeng Wen 001; Minxian Xu; Adel Nadjaran Toosi; Kejiang Ye (CLOUD, 2024)

An Empirical Study on Edge-to-Cloud Continuum for Smart Applications: Performance, Design Patterns, and Key Factors. - Norman Chen; Adel Nadjaran Toosi; Bahman Javadi; Daghash K. Alqahtani; Mohammad Sadegh Aslanpour; Minxian Xu (EDGE, 2024)

Resource Management for GPT-Based Model Deployed on Clouds: Challenges, Solutions, and Future Directions. - Yongkang Dang; Yiyuan He; Minxian Xu; Kejiang Ye (ICA3PP (2), 2024)

UELLM: A Unified and Efficient Approach for Large Language Model Inference Serving. - Yiyuan He; Minxian Xu; Jingfeng Wu; Wanyi Zheng; Kejiang Ye; Cheng-Zhong Xu 001 (ICSOC (1), 2024)

MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices. - Kan Hu; Linfeng Wen 001; Minxian Xu; Kejiang Ye (ISPA, 2024)

TollHelper: A Safe and Efficient Traffic Control Approach on Toll Plaza via Constrained Load Balancing. - Mengbing Zhou; Bocong Zhao; Minxian Xu; Hao Dai; Yang Wang 006 (ISPA, 2024)

Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales. - Lujie Tang; Minxian Xu; Cheng-Zhong Xu 001; Kejiang Ye (CoRR, 2024)

Edge AI: A Taxonomy, Systematic Review and Future Directions. - Sukhpal Singh Gill; Muhammed Golec; Jianmin Hu; Minxian Xu; Junhui Du; Huaming Wu; Guneet Kaur Walia; Subramaniam Subramanian Murugesan; Babar Ali; Mohit Kumar 004; Kejiang Ye; Prabal Verma; et al. (CoRR, 2024)

UELLM: A Unified and Efficient Approach for LLM Inference Serving. - Yiyuan He; Minxian Xu; Jingfeng Wu; Wanyi Zheng; Kejiang Ye; Cheng-Zhong Xu 001 (CoRR, 2024)

Special issue on efficient management of microservice-based systems and applications. - Minxian Xu; Schahram Dustdar; Massimo Villari; Rajkumar Buyya (Softw. Pract. Exp., 2024)

DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-Based Clusters. - Haoyu Bai; Minxian Xu; Kejiang Ye; Rajkumar Buyya; Chengzhong Xu 001 (IEEE Trans. Serv. Comput., 2024)

Efficient Multi-Task Computation Offloading Game for Mobile Edge Computing. - Shuhui Chu; Chengxi Gao; Minxian Xu; Kejiang Ye; Zhu Xiao; Cheng-Zhong Xu 001 (IEEE Trans. Serv. Comput., 2024)

Computation Energy Efficiency Maximization for Intelligent Reflective Surface-Aided Wireless Powered Mobile Edge Computing. - Junhui Du; Minxian Xu; Sukhpal Singh Gill; Huaming Wu (IEEE Trans. Sustain. Comput., 2024)

ATOM: AI-Powered Sustainable Resource Management for Serverless Edge Computing Environments. - Muhammed Golec; Sukhpal Singh Gill; Félix Cuadrado; Ajith Kumar Parlikad; Minxian Xu; Huaming Wu; Steve Uhlig (IEEE Trans. Sustain. Comput., 2024)

Blockchain and Reinforcement Neural Network for Trusted Cloud-Enabled IoT Network. - Jitendra Kumar Samriya; Surendra Kumar; Mohit Kumar 004; Minxian Xu; Huaming Wu; Sukhpal Singh Gill (IEEE Trans. Consumer Electron., 2024)

Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems. - Shengsheng Lin; Weiwei Lin 001; Keyi Wu; Songbo Wang; Minxian Xu; James Z. Wang 002 (Internet Things, 2024)

Computation Energy Efficiency Maximization for NOMA-Based and Wireless-Powered Mobile Edge Computing With Backscatter Communication. - Junhui Du; Huaming Wu; Minxian Xu; Rajkumar Buyya (IEEE Trans. Mob. Comput., 2024)

SealOS+: A Sealos-based Approach for Adaptive Resource Optimization Under Dynamic Workloads for Securities Trading System. - Haojie Jia; Zhenhao Li; Gen Li; Minxian Xu; Kejiang Ye (ICCCN, 2025)

PRICELESS: Privacy enhanced AI-driven scalable framework for IoT applications in serverless edge computing environments. - Muhammed Golec; Mustafa Golec; Minxian Xu; Huaming Wu; Sukhpal Singh Gill; Steve Uhlig (Internet Technol. Lett., 2025)

LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent. - Kan Hu; Minxian Xu; Kejiang Ye; Cheng-Zhong Xu 001 (Softw. Pract. Exp., 2025)

Cloudnativesim: A Toolkit for Modeling and Simulation of Cloud-Native Applications. - Jingfeng Wu; Minxian Xu; Yiyuan He; Kejiang Ye; Chengzhong Xu 001 (Softw. Pract. Exp., 2025)

StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications. - Linfeng Wen 001; Minxian Xu; Sukhpal Singh Gill; Muhammad Hafizhuddin Hilman; Satish Narayana Srirama; Kejiang Ye; Chengzhong Xu 001 (ACM Trans. Auton. Adapt. Syst., 2025)

BucketServe: Bucket-Based Dynamic Batching for Smart and Efficient LLM Inference Serving. - Wanyi Zheng; Minxian Xu; Shengye Song; Kejiang Ye (CoRR, 2025)

Auto-scaling Approaches for Cloud-native Applications: A Survey and Taxonomy. - Minxian Xu; Linfeng Wen 001; Junhan Liao; Huaming Wu; Kejiang Ye; Chengzhong Xu 001 (CoRR, 2025)

BrownoutServe: SLO-Aware Inference Serving under Bursty Workloads for MoE-based LLMs. - Jianmin Hu; Minxian Xu; Kejiang Ye; Cheng-Zhong Xu 001 (CoRR, 2025)

C-Koordinator: Interference-aware Management for Large-scale and Co-located Microservice Clusters. - Shengye Song; Minxian Xu; Zuowei Zhang; Chengxi Gao; Fansong Zeng; Yu Ding; Kejiang Ye; Cheng-Zhong Xu 001 (CoRR, 2025)

Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling. - Jingfeng Wu; Yiyuan He; Minxian Xu; Xitong Gao; Kejiang Ye; Cheng-Zhong Xu 001 (CoRR, 2025)

Cloud Native System for LLM Inference Serving. - Minxian Xu; Junhan Liao; Jingfeng Wu; Yiyuan He; Kejiang Ye; ChengZhong Xu 001 (CoRR, 2025)