Cloud Computing Systems

Cloud-native Systems

Systems for LLM

For international students, please read 1-2 recent research papers published by our group before contacting me for applying master/PhD, thank you!

1. Selected papers：

2. Google Scholar：https://scholar.google.com/citations?user=KeJL7gEAAAAJ&hl=en&oi=ao

3. 1. [CSUR] M. Xu, R. Buyya, Brownout Approach for Adaptive Management of Resources and Applications in Cloud Computing System: A Taxonomy and Future Directions, ACM Computing Surveys (CSUR), Vol.51, Issue 4, pp. 1-27, Jan 2019. (中科院一区, IF: 28)

4. 2. [CSUR] Z. Zhong, M. Xu*, MA Rodriguez, C. Xu, R. Buyya, Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions, ACM Computing Surveys (CSUR), Vol 54, Issue 10, pp. 1-35, 2022. (中科院一区, IF: 28)

5. 3. [CSUR] W. Lin, C. Xiong, W. Wu, F. Shi, K. Li, M. Xu, Performance Interference of Virtual Machines: A Survey, ACM Computing Surveys (CSUR), 2022. (中科院一区, IF: 28)

6. 4. [TSC] H. Bai, M. Xu*, K. Ye, R. Buyya, C. Xu,  DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters, IEEE Transactions on Service Computing (TSC), 2024. （CCF A）

7. 5. [TSC] G. Zhou, M. Xu, J. Zhang, R. Buyya. GMHA: Growable Meta-Heuristic Algorithms for Multi-Objective Optimization Problems and its Application in Cloud Scheduling. EEE Transactions on Service Computing (TSC), 2025.（CCF A）

8. 6. [TMC] J. Du, H. Wu, M. Xu, R. Buyya. Computation Energy Efficiency Maximization for NOMA-Based and Wireless-Powered Mobile Edge Computing with Backscatter Communication. IEEE Transactions on Mobile Computing (TMC), Vol. 23, Issue 6, 2024.（CCF A）

9. 7. [TSC] S. Chu, C. Gao, M. Xu, K. Ye, Z. Xiao, C. Xu, Efficient Multi-Task Computation Offloading Game for Mobile Edge Computing, IEEE Transactions on Service Computing (TSC), Vol. 17, Issue 1, 2024. (CCF A)

10. 8. [TAAS] L. Wen, M. Xu*, S. S. Gill, H. Muhammad, S. Srirama, K. Ye, C. Xu, StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications, ACM Transactions on Autonomous and Adaptive Systems (TAAS), 2024 (CCF B, acceptance rate=9%).

11. 9. [TOIT] M. Xu, C. Song, H. Wu, S. S. Gill, K. Ye, C. Xu, esDNN: An Efficient Approach for Multivariate Workload Prediction in Cloud Computing Environments, ACM Transactions on Internet Technology (TOIT), Vol. 22, Issue 3, pp. 1-24, 2022.  (Q1，CCF B) 

1. 10. [TSUSC] M. Xu, A. N. Toosi, R. Buyya, A Self-adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing, IEEE Transactions on Sustainable Computing (T-SUSC), Vol. 6, Issue 4, pp. 544-558, Oct-Dec 2021. (Q1, Popular Article)

2. 11. [TSUSC] M. Xu, A. N. Toosi, R. Buyya, iBrownout: An Integrated Approach for Managing Energy and Brownout in Container-based Clouds, IEEE Transactions on Sustainable Computing (T-SUSC), Vol. 4, Issue 1, pp. 53-66, Jan-Mar 2019. (Q1)

3. 12. [TSUSC] M. Xu, A. V. Dastjerdi, R. Buyya, Energy Efficient Scheduling of Cloud Application Components with Brownout, IEEE Transactions on Sustainable Computing (T-SUSC), Vol. 1, Issue 2, pp.40-53, Dec 2016. (Q1)

4. 13. [TNSM] M. Xu, C. Song, S. Ilager, S. S. Gill, J. Zhao, K. Ye, C. Xu, CoScal: Multi-faceted Scaling of Microservices with Reinforcement Learning, IEEE Transactions on Network and Service Management (TNSM), Vol.  19, Issue 4, pp. 3395-4009, 2022. (Q1)

5. 14. [TASE] W. Tian, Y. Zhao, M. Xu, Y. Zhong, X. Sun, A Toolkit for Modeling and Simulation of Real-time Virtual Machine Allocation in a Cloud Data Center, IEEE Transactions on Automation and Science Engineering (T-ASE), Vol. 12, No.1, pp. 153-161, Jan 2015. (CCF B)

6. 15. [TSUSC] J. Du, M. Xu, S. S. Gill, H. Wu, Computation Energy Efficiency Maximization for Intelligent Reflective Surface-Aided Wireless Powered Mobile Edge Computing, IEEE Transactions on Sustainable Computing (T-SUSC), 2023 (Q1: IF:4.9, ESI Highly Cited Paper)

7. 16. [TSUSC] M. Golec, S. S. Gill, F. Cuadrado, A. K. Parlikad, M. Xu, H. Wu, S. Uhlig, ATOM: AI-powered Sustainable Resource Management for Serverless Edge Computing Environments, IEEE Transactions on Sustainable Computing (T-SUSC), 2023.

8. 17. [TGCN] M. Xue, H. Wu, R. Li, M. Xu, P. Jiao, EoSDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments, IEEE Transactions on Green Communications and Network (TGCN), Vol. 6, Issue 1, 2022. (Q1)

9. 18. [TCC] R. Mo, W. Lin, H. Zhong, M. Xu, K. Li, A Cross-Workload Power Prediction Method Based on Transfer Gaussian Process Regression in Cloud Data Centers, IEEE Transactions on Cloud Computing (TCC), 2025. (Q1)

10. 19. [TCC] C. Gao, S. Chu, H. Xu, M. Xu, K. Ye, C. Xu, Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks, IEEE Transactions on Cloud Computing (TCC), 2021. (Q1)

11. 20. [TCE] J. Samriya, S. Kumar, M. Kumar, M. Xu, H. Wu, S. S. Gill,Blockchain and Reinforcement Neural Network for Trusted Cloud-enabled IoT Network, Transactions on Consumer Electronics (TCE), 2023 (Q1). 

12. 21. [IoT] S. S. Gill, M. Xu, C. Ottaviani, P. Patros, R. Bahsoon, A. Shaghaghi, M. Golec, V. Stankovski, H. Wu, A. Abraham, M. Singh, H. Mehta, S. K. Ghosh, T. Baker, A. K. Parlikad, H. Lutfiyya, S. S. Kanhere, R. Sakellariou, S. Dustdar, O. Rana, I. Brandic, S. Uhlig，AI for next generation computing: Emerging trends and future directions，Internet of Things （IoT）, vol. 19, 2022 (Q1, IF=5.7, ESI Hot Paper)

13. 22. [IOTJ] H. Wu, K. Wolter, P. Jiao, Y. Deng, Y. Zhao, M. Xu. EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing, IEEE Internet of Things Journal（IOTJ）, vol. 8, no. 4, pp. 2163-2176, 2021. (中科院一区, IF=10.238, ESI Highly Cited Paper)

14. 23. [ICSOC] Y. He, M. Xu*, J. Wu, W. Zheng, K. Ye, C. Xu, UELLM: A Unified and Efficient Approach for Large Language Model Inference Serving, In the Proceedings of International Conference on Service Oriented Computing (ICSOC), Dec 2024. (CCF B, acceptance rate=15%)

15. 24. [ICSOC] C. Song, M. Xu*, K. Ye, H. Wu, S. S. Gill, R. Buyya, C. Xu, ChainsFormer: A Chain Latency-aware Resource Provisioning Approach for Microservices Cluster, In the Proceedings of International Conference on Service Oriented Computing (ICSOC), Nov 2023. (CCF B, acceptance rate=17%)

16. 25. [ICWS] L. Tang, M. Xu*, K. Ye*, C. Xu, Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales, In Proceedings of IEEE International Conference on Web Services (ICWS), 2024. (CCF B, acceptance rate=19.6%)

17. 26.  [SPE] J. Wu, M. Xu*, Y. He, K. Ye, C. Xu, CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications, Software: Practice and Experience (SPE), 2025  (CCF B)

18. 27. [SPE] K. Hu, M. Xu*, K. Ye, C. Xu, LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent, Software: Practice and Experience (SPE), 2024 (CCF B)

19. 28. [SPE] M. Xu, L. Yang, Y. Wang, C. Gao, L. Wen, G. Xu, L. Zhang, K. Ye, C. Xu, Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster, Software: Practice and Experience (SPE), 2024 (CCF B)

20. 29. [SPE] M. Xu, Q. Zhou, H. Wu, W. Lin, K. Ye, C. Xu, PDMA: Probabilistic Service Migration Approach for Delay-aware and Mobility-aware Mobile Edge Computing, Software: Practice and Experience (SPE), pp.1-21, July 2021. (CCF-B)

21. 30. [JPDC] M. Xu, R. Buyya, Managing Renewable Energy and Carbon Footprint in Multi-cloud Computing Environments, Journal of Parallel and Distributed Computing (JPDC), Vol. 135, pp. 191-202, 2020. (JCR一区，CCF-B)

22. 31. [ICSOC] M. Xu, A. N. Toosi, B. Bahrani, R. Razzaghi, M. Singh, Optimized Renewable Energy Use in Green Cloud Data Centers, In the Proceedings of International Conference on Service Oriented Computing (ICSOC), pp. 314-330, Oct 2019. (CCF-B, acceptance rate=15%)

23. 32. [JSS] M. Xu, R. Buyya, BrownoutCon: A software System based on Brownout and Containers for Energy-Efficient Cloud Computing, Journal of Systems and Software (JSS), Vol.155, pp. 91-103, September 2019. (CCF-B)

24. 33. [ICSOC] M. Xu, R. Buyya, Energy Efficient Scheduling of Application Components via Brownout and Approximate Markov Decision Process, In the Proceedings of International Conference on Service Oriented Computing (ICSOC), pp.206-220, Nov 2017. (CCF B, acceptance rate=15%)

25. 34. [JCST] W. Tian, M. Xu*, G. Zhou, K. Wu, C. Xu, R. Buyya, Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center, Journal of Computer Science & Technology (JCST)， 2022 （CCF B）

26. 35. [CLUSTER] Y. Sun, A. Toosi*, M. Xu*,  GreenK8s: Green-aware Scheduling for Sustainable Kubernetes Cluster Management,  IEEE International Conference on Cluster Computing (Cluster), 2025 (CCF B)

27. 36. [CCPE] M. Xu, W. Tian, R. Buyya, A Survey on Load Balancing Algorithmsfor Virtual Machines Placement in Cloud Computing, Concurrency and Computation: Practice and Experience (CCPE), Vol 29, Issue 12, June 2017. (Citations: 200+)

28. 其他多篇论文还发表于中科院一二区期刊，如 IEEE Internet of Things Journal (IoT-J), International Journal of Intelligent Systems (IJIS), Future Generation Computer Systems (FGCS)， Internet of Things（IOT）等。

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2. Patents：

3. 徐敏贤；宋承浩；叶可江；须成忠，基于微服务链路分析和强化学习的调度方法及装置，ZL202210323609.7，（授权）

4. 徐敏贤;宋盛叶;叶可江;高瑞鸿;须成忠等,在离线应用干扰消除方法、装置、计算机设备及存储介质, ZL202311660743.7,（授权）

5. 徐敏贤;宋承浩;须成忠, 一种负载控制方法、装置、计算机设备及存储介质，ZL202011286212.2,（授权）

6. 徐敏贤;周启恒;高程希;叶可江;须成忠，张锦霞. 移动边缘计算的服务调度方法、系统及存储介质，ZL202011418858.1,（授权）

7. 徐敏贤;余存道;叶可江;须成忠,一种云数据中心减碳排方法、系统、终端以及存储介质, ZL202110866162.3, (授权)

8. 徐敏贤;周启恒;赵娟娟;叶可江;须成忠, 一种云计算资源调度方法、系统、终端以及存储介质，ZL202110834069.4，（授权）

9. 徐敏贤;宋承浩;高程希;叶可江;须成忠, 云服务器集群负载调度方法、系统、终端以及存储介质，ZL202110753400.X，（授权）

10. 徐敏贤;宋承浩;孟天晖;叶可江;须成忠, 一种云服务器集群负载预测方法、系统、终端以及存储介质，ZL202110753412.2，（授权）

11. 叶可江;高瑞鸿;徐敏贤;须成忠等,基于性能指标的干扰异常检测方法、装置、设备及介质, ZL202311443882.4,（授权）

12. 高程希;褚淑惠;须成忠;孟天晖;徐敏贤;张锦霞,数据中心网络的阻塞控制与调度融合方法及终端设备, ZL201911306009.4,（授权）

13. 徐敏贤;何忆源;吴静峰;叶可江;须成忠,一种大语言模型推理服务优化方法、系统、设备及介质, PCT/CN2025/086421

14. 徐敏贤;宋承浩;叶可江;须成忠,基于微服务链路分析和强化学习的调度方法及装置，PCT/CN2022/138189

15. 徐敏贤;宋承浩;叶可江;须成忠,一种基于容器管制的云数据中心节能方法及系统，PCT/CN2020/139676

16. 徐敏贤;宋承浩;须成忠, 一种负载控制方法、装置、计算机设备及存储介质，PCT/CN2020/1292853 

17. 徐敏贤;宋承浩;高程希;叶可江;须成忠, 云服务器集群负载调度方法、系统、终端以及存储介质，PCT/CN2021/104298

18. 徐敏贤;白浩宇;温林峰;叶可江;须成忠,一种微服务调度方法、装置、计算机设备及存储介质, CN202311739306.4

19. 徐敏贤;温林峰;叶可江;须成忠;赵娟娟,一种云负载预测方法及装置, CN202411239344.8

20. 胡侃;徐敏贤;叶可江;王洋;须成忠, 一种云服务器微服务调度方法及系统，CN202310983497.2

21. 温林峰;徐敏贤;叶可江;须成忠, 一种云服务器资源管理的弹性伸缩方法及系统，CN202310920219.2

22. 赵娟娟;黄旭吉;徐敏贤;高希彤;叶可江;须成忠,一种交通数据补全方法、系统、终端以及存储介质, CN202111198114.8

23. 叶可江;罗树添;李想;徐敏贤;须成忠,资源管理方法、装置、设备及存储介质,CN202311798418.7

24. 王洋;黄琪;李想;徐敏贤;叶可江;须成忠,针对在线移动需求的云服务迁移的随机规划方法及装置

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26. Softwares：

27. 徐敏贤;白浩宇;叶可江;须成忠, DRPC面向容器的分布式资源管理调度系统,2023SR1258732

28. 徐敏贤;吴静峰;叶可江;须成忠, CloudNativeSim云原生应用资源管理模拟器,2025SR0745546

29. 宋承浩;徐敏贤;叶可江;须成忠, Coscal云计算集群调度系统,2022SR1412896

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Dr. Minxian Xu is  currently an Associate Professor at Shenzhen Institutes of Advanced Technology, Chinese Academy Science (SIAT). He is a team member of Cloud Computing Research Center directed by Prof. Chengzhong Xu. He has published 80+ research papers in prominent journals and conferences (3 ESI highly cited papers), including CSUR, TSC, TMC, TAAS, TOIT, TSUSC, TNSM, TCC, TGCN, TASE, TCE, ICSOC, CLUSTER and ICWS. These research work has attracted 5000+ citations (Google Scholar data). He has been the Program Chair/Program Committee for 20+ international conferences, and has given 30+ oral presentations. He is the PI/Co-PI of 20+ research projects, including grants from NSFC, Ministry of Science and Technology, CAS PIFI, Guangdong NSF, Shenzhen Government, Alibaba and Huawei. He is also the active reviewer for 50+ journals and conferences, such as TPDS, TC, ToN, TMC, TSE, TSC, TPAMI, TKDE, and ICDCS. His research interests are resource scheduling in Clouds, like load balancing and energy efficiency for Clouds, and microservice management under Cloud-native environment. His PhD thesis was awarded the 2019 IEEE TCSC Outstanding PhD Dissertation Award, and he was hornored to be awarded the 2023 IEEE TCSC Award for Excellence (Early Career Award), and among the 2023 and 2024 World's Top 2% Scientists by Stanford University. He has been selected as 2023 Australia China Alumni Award for Research & Science (Judges’ Commendation).  He is a Senior Member of both IEEE and CCF. 

Dr. Xu lectured three subjects at SIAT, including Distributed Computing Principle, Cloud Computing and Virtualization, Cloud Computing Technology and Engineering, with good evaluation scores from students (ranging from 4.84 to 5.0 out of 5.0). He has been awarded with Excellent Teacher Award at SIAT. 

Before joined SIAT, he worked as Research Fellow/Research Assistant at University of Melbourne and Monash University for several months. He got his PhD degree in April 2019,  CLOUDS lab, School of Computing Information Systems, University of Melbourne, under the supervision of Prof. Rajkumar Buyya. 

He obtained his bachelor and master degree from School of Information and Software Engineering, University of Electronic Science and Technology of China at 2012 and 2015 respectively, supervised by Prof. Wenhong Tian, both in Software Engineering.