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Journal Papers
Fei Xu, Jianian Xu, Jiabin Chen, Li Chen, Ruitao Shang, Zhi Zhou, Fangming Liu, “iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud,” IEEE Transactions on Parallel and Distributed Systems, 2023, 34(3): 812-827. DOI: 10.1109/TPDS.2022.3232715 (CCF A, Project source codes are avaiable on GitHub)
Kongyange Zhao, Zhi Zhou*, Lei Jiao, Shen Cai, Fei Xu, Xu Chen, “Taming Serverless Cold Start of Cloud Model Inference with Edge Computing,” IEEE Transactions on Mobile Computing, 2023, DOI: 10.1109/TMC.2023.3348165. (CCF-A)
Fei Xu, Yiling Qin, Li Chen, Zhi Zhou, Fangming Liu, “λDNN: Achieving Predictable Distributed DNN Training with Serverless Architectures,” IEEE Transactions on Computers, 2022, 71(2): 450-463. DOI:10.1109/TC.2021.3054656. (CCF A. Project source codes are available on GitHub)
Abeda Sultana, Md. Mainul Haque, Li Chen*, Fei Xu, Xu Yuan, “Eiffel: Efficient and Fair Scheduling in Adaptive Federated Learning,” IEEE Transactions on Parallel and Distributed Systems, 2022, 33(12):4282-4294. (CCF A)
Jananie Jarachanthan, Li Chen*, Fei Xu, Bo Li, “Astrea: Auto-Serverless Analytics towards Cost-Efficiency and QoS-Awareness,” IEEE Transactions on Parallel and Distributed Systems, 2022, 33(12):3833-3849. (CCF-A)
Lin Jia, Zhi Zhou*, Fei Xu, Hai Jin, “Cost-Efficient Continuous Edge Learning for Artificial-Intelligence-of-Things (AIoT),” IEEE Internet of Things Journal, 2022, 9(10): 7325-7337. DOI: 10.1109/JIOT.2021.3104089 (SCI index, 一区)
Bin Gao, Zhi Zhou, Fangming Liu*, Fei Xu, Bo Li, “An Online Framework for Joint Network Selection and Service Placement in Mobile Edge Computing”, IEEE Transactions on Mobile Computing, 2022, 21(10): 3836-3851. DOI: 10.1109/TMC.2021.3064847. (CCF A)
Qiang Qi, Fei Xu*, Li Chen, Zhi Zhou, “Rationing Bandwidth Resources for Mitigating Network Resource Contention in Distributed DNN Training Clusters,” CCF Transactions on High Performance Computing, 2021, 3(2): 171-185. DOI:10.1007/s42514-021-00064-x. (ESCI index, 中国期刊, CCF C)
Xinli Huang, Peng Shi, Yufei Liu, Fe Xu*, “Towards Trusted and Efficient SDN Topology Discovery: A Lightweight Topology Verification Scheme,” Computer Networks, 2020, 170: 107-119. (CCF B)
Fei Xu, Haoyue Zheng, Huan Jiang, Wujie Shao, Haikun Liu, Zhi Zhou, “Cost-Effective Cloud Server Provisioning for Predictable Performance of Big Data Analytics,” IEEE Transactions on Parallel and Distributed Systems, 2019, 30(5): 1036-1051. (CCF A. Project source codes are available on GitHub)
Fei Xu, Wangying Ye, Yuhan Liu, Wei Zhang, “UFalloc: Towards Utility Max-min Fairness of Bandwidth Allocation for Applications in Datacenter Networks,” Mobile Networks and Applications (MONET), 2017, 22(2): 161-173. (SCI index, 二区)
Fei Xu, Fangming Liu, Hai Jin, “Heterogeneity and Interference-Aware Virtual Machine Provisioning for Predictable Performance in the Cloud,” IEEE Transactions on Computers, 2016, 65(8): 2470-2483. (CCF A)
Fei Xu, Fangming Liu, Peng Yin, Hai Jin, “Network-Aware Task Assignment for MapReduce Applications in Shared Clusters,” Journal of Internet Technology, 2015, 16(2): 325-333. (SCI index)
Fei Xu, Fangming Liu, Hai Jin, Athanasios V.Vasilakos, “Managing Performance Overhead of Virtual Machines in Cloud Computing: A Survey, State of Art and Future Directions,” Proceedings of the IEEE, 2014, 102(1): 11-31. (CCF A. ESI Highly Cited Paper)
Fei Xu, Fangming Liu, Linghui Liu, Hai Jin, Bo Li, Baochun Li, “iAware: Making Live Migration of Virtual Machines Interference-Aware in the Cloud,” IEEE Transactions on Computers, 2014, 63(12): 3012-3025. (CCF A)
Conference Papers
Ruitao Shang, Fei Xu*, Zhuoyan Bai, Li Chen, Zhi Zhou, Fangming Liu, “spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud,” in: Proc. of IEEE/ACM IWQoS 2023, June 19-21, 2023. pp. 1-10. (CCF B, acceptance ratio: 62 / 264 = 23.5%. Project source codes are available on GitHub)
Jananie Jarachanthan, Li Chen*, Fei Xu, “ACTS: Autonomous Cost-Efficient Task Orchestration for Serverless Analytics,” in: Proc. of IEEE/ACM IWQoS 2023, June 19-21, 2023. (CCF B, acceptance ratio: 62 / 264 = 23.5%)
Qingyuan Wang, Bin Gao*, Zhi Zhou*, Fei Xu, Chenghao Ouyang, “DAG-Aware Optimization for Geo-Distributed Data Analytics,” in: Proc. of ICPP 2023, August 7-10, 2023. pp. 472-481. (CCF B)
Hao Bao, Zhi Zhou*, Jiajie Xie, Qianyi Huang, Fei Xu, Xu Chen, “COUPLE: Accelerating Video Analytics on Heterogeneous Mobile Processors,” in: Proc. of ACM MobiCom 2023, October 2-6, 2023. pp.1552-1554. (CCF A, Poster)
Zhenwei Zhang, Qiang Qi, Ruitao Shang, Li Chen, Fei Xu*, “Prophet: Speeding up Distributed DNN Training with Predictable Communication Scheduling,” in: Proc. of ICPP 2021, August 9-12, 2021. Article No. 69. (CCF B, acceptance ratio: 87 / 329 = 26.4%. Project source codes are available on GitHub)
Jananie Jarachanthan, Li Chen*, Fei Xu, Bo Li, “AMPS-Inf: Automatic Model Partitioning for Serverless Inference with Cost Efficiency,” in: Proc. of ICPP 2021, August 9-12, 2021. Article No. 14. (CCF B, acceptance ratio: 87 / 329 = 26.4%)
Jananie Jarachanthan, Li Chen*, Fei Xu, Bo Li, “Astra: Autonomous Serverless Analytics with Cost-Efficiency and QoS-Awareness,” in: Proc. of IPDPS 2021 (Virtual), May 17-21, 2021. pp. 756-765. (CCF B)
Abeda Sultana, Li Chen*, Fei Xu, Xu Yuan, “E-LAS: Design and Analysis of Completion-Time Agnostic Scheduling for Distributed Deep Learning Cluster,” in: Proc. of ICPP 2020 (Virtual), Edmonton, AB, Canada, August 17-20, 2020. Article No. 21. (CCF B)
Haoyue Zheng, Fei Xu*, Li Chen, Zhi Zhou, Fangming Liu, “Cynthia: Cost-Efficient Cloud Resource Provisioning for Predictable Distributed Deep Neural Network Training,” in: Proc. of ICPP 2019, Kyoto, Japan, August 5-8, 2019. Article No. 86. (CCF B, acceptance ratio: 26%, 106 accepted papers out of 405 submitted full papers)
Wujie Shao, Fei Xu*, Li Chen, Haoyue Zheng, Fangming Liu, “Stage Delay Scheduling: Speeding up DAG-style Data Analytics Jobs with Resource Interleaving,” in: Proc. of ICPP 2019, Kyoto, Japan, August 5-8, 2019. Article No. 8. (CCF B, acceptance ratio: 26%, 106 accepted papers out of 405 submitted full papers. Project source codes are available on GitHub)
Yiling Qin, Lun Zhang, Fei Xu*, Daidong Luo, “Interference and Topology-Aware VM Live Migrations in Software-Defined Networks,” in: Proc. of HPCC 2019, Zhangjiajie, China, August 10-12, 2019. pp. 1068-1075. (CCF C)
Bin Gao, Zhi Zhou, Fangming Liu*, Fei Xu, “Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing,” in: Proc. of INFOCOM 2019, Paris, France, April 29-May 2, 2019. pp. 1459-1467. (CCF A, acceptance ratio: 19.7%)
Fei Xu, Shuai Yang, Zhi Zhou, Jia Rao, “eBrowser: Making Human-Mobile Web Interactions Energy Efficient with Event Rate Learning,” in: Proc. of ICDCS 2018 (Research Track), Vienna, Austria, July 2-5, 2018. pp. 523-533. (CCF B, 78 accepted papers out of 378 submitted full papers, acceptance ratio: ~20%. Project source codes are available on GitHub)
Fei Xu, Huan Jiang, Haoyue Zheng, Wujie Shao, “iSpot: Achieving Predictable Performance for Big Data Analytics with Cloud Transient Servers,” in: Proc. of ISPA 2017, Guangzhou, China, December 12-15, 2017. pp. 314-321. (CCF C)
Jue Chen, Jinbang Chen*, Fei Xu*, Min Yin, Wei Zhang, “When Software Defined Networks Meet Fault Tolerance: A Survey,” in: Proc. of ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015. pp. 351-368. (CCF C)
Wangying Ye, Fei Xu*, Wei Zhang, “Achieving Application-Level Utility Max-min Fairness of Bandwidth Allocation in Datacenter Networks,” in: Proc. of CollaborateCom 2015, Wuhan, China, November 10-11, 2015. pp. 36-46. (CCF C)
Fei Xu, Fangming Liu, Dekang Zhu, Hai Jin, “Boosting MapReduce with Network-Aware Task Assignment,” in: Proc. of CloudComp 2013, Wuhan, China, October 17-19, 2013. pp. 79-89.
Fei Xu, Hai Jin, Xiaofei Liao, Fei Qiu, “Enhancing the Reliability of SIP Service in Large-Scale P2P-SIP Networks,” in: Proc. of GPC 2011, Oulu, Finland, May 11-13, 2011. pp. 52-61.
学术兼职
中国计算机学会分布式计算与系统专业委员会委员，上海市计算机学会存储专业委员会副主任，华东师范大学首任CCF传播大使，CCF高级会员.
Program Committee Member for The International Workshop on Intelligent Cloud Computing and Networking (ICCN 2020 and ICCN 2019), held in conjunction with IEEE INFOCOM; The International Conference on Informatics and Computing (PIC 2018, PIC 2017, PIC 2016).
Volunteer Committee Member for The ACM Turing 50th Celebration Conference - China (ACM TURC 2017, ACM图灵奖五十年中国大会), held in Shanghai, China, May 12-14, 2017.
Publication Chair, Web Chair, and Program Committee Member for The 11th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2015), held in Wuhan, China, Nov. 10-11, 2015.
Web Chair for The 9th International Conference on Green, Pervasive and Cloud Computing (GPC 2014), held in Wuhan, China, May 26-28, 2014.
Invited Reviewer for IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Dependable and Secure Computing, Journal of Parallel and Distributed Computing, IEEE Systems Journal, Concurrency and Computation: Practice and Experience, Journal of Supercomputing, Cluster Computing, 计算机学报, 中国科学: 信息科学.
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