期刊论文

[1] X Wei, ABMM Rahman, D Cheng, Y Wang: Joint Optimization across Timescales: Resource Placement and Task Dispatching in Edge Clouds. IEEE Transactions on Cloud Computing (TCC), 2021. （SCI一区）

[2] T Li; Z Qiu; D Cheng; W Wang; X Shi; Y Wang*: Privacy-Preserving Participant Grouping for Mobile Social Sensing over Edge Clouds. IEEE Transactions on Network Science and Engineering (TNSE), 2021.

[3] D Cheng; Y Wang; D Dai*: Dynamic Resource Provisioning for Iterative Workloads on Apache Spark. IEEE Transactions on Cloud Computing (TCC), 2021.（SCI一区）

[4] W Rang; D Yang; D Cheng*: Dependency-aware Tensor Scheduler for Industrial AI Applications. IEEE Industrial Electronics Magazine (IEM), 2021.（SCI一区）

[5] W Rang; D Yang; D Cheng*: Yu Wang; Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021.（CCF A类）

[6] D Yang, D Cheng*, W Rang, Y Wang: Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers. IEEE Transactions on Cloud Computing (TCC), 2019.（SCI一区）

[7] D Cheng*, X Zhou, Y Xu, L Liu, C Jiang: Deadline-aware MapReduce job scheduling with dynamic resource availability. IEEE transactions on parallel and distributed systems (TPDS), 2018:30 (4), 814-826.（CCF A类）

[8] D Cheng*, X Zhou, Z Ding, Y Wang, M Ji: Heterogeneity aware workload management in distributed sustainable datacenters. IEEE Transactions on Parallel and Distributed Systems (TPDS),2018:30 (2), 375-387.（CCF A类）

[9] D Cheng*, X Zhou, Y Wang, C Jiang: Adaptive scheduling parallel jobs with dynamic batching in spark streaming. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018:29 (12), 2672-2685.（CCF A类）

[10] D Cheng*, X Zhou, P Lama, M Ji, C Jiang: Energy efficiency aware task assignment with dvfs in heterogeneous hadoop clusters. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017:29 (1), 70-82.（CCF A类）

[11] D Cheng, X Zhou*, P Lama, J Wu, C Jiang: Cross-platform resource scheduling for spark and mapreduce on yarn. IEEE Transactions on Computers (TC). 2017:66 (8), 1341-1353.（CCF A类）

[12] D Cheng, J Rao, Y Guo, C Jiang, X Zhou*: Improving performance of heterogeneous mapreduce clusters with adaptive task tuning. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2016:28 (3), 774-786.（CCF A类）

[13] Y Guo, J Rao, D Cheng, X Zhou*: ishuffle: Improving hadoop performance with shuffle-on-write. IEEE transactions on parallel and distributed systems (TPDS), 2016:28 (6), 1649-1662.

[14] D Cheng, J Rao, C Jiang, X Zhou*: Elastic power-aware resource provisioning of heterogeneous workloads in self-sustainable datacenters. IEEE Transactions on Computers (TC). 2015:65 (2), 508-521.（CCF A类）

[15] D Cheng, Y Guo, C Jiang, X Zhou*: Self-tuning batching with dvfs for performance improvement and energy efficiency in internet servers. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 2015:10 (1), 1-32.

[16] Yili Gong; Chuang Hu; Yanyan Xu; Wenjie Wang; A distributed file system with variable si zed objects for enhanced random writes, Computer Journal, 2016, 59(10): 1536-1550

[17] Chuang Hu, Rui Lu, and Dan Wang, “FEVA: A FEderated Video Analytics Architecture for Networked Smart Cameras”, IEEE Network, Volume 35, Issue 6, Pages 163-170, December, 2021. [SCI 一区]

[18] Siping Shi, Chuang Hu, Dan Wang, and Yifei Zhu, and Zhu Han, “Federated Anomaly Analytics for Local Model Poisoning Attack”, IEEE Journal on Selected Areas in Communications (JSAC), Volume 40, Issue 2, Pages 596-610, February, 2022. [CCF-A, SCI 一区]

[19] Chuang Hu, Wei Bao, Dan Wang, Yi Qian, Muqiao Zheng and Shi Wang, “sTube+: An IoT Communication Sharing Architecture for Smart After-sales Maintenance in Buildings”, ACM Transactions on Sensor Networks (TOSN), Volume 14, Issue 3-4, Pages 1-29, December, 2018. [CCF-B，SCI 三区]

[20] Qiong Chen, Zimu Zheng, Chuang Hu, Dan Wang, and Fangming Liu,“On-Edge Multi-Task Transfer Learning: Model and Practice With Data-Driven Task Allocation”, IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 31, Number 6, Pages 1357-1371, June, 2020. [CCF-A, SCI 二区]

[21] Dan Wang, Wei Bao, Chuang Hu, Yi Qian, Muqiao Zheng and Shi Wang, “sTube: An Architecture for IoT Communication Sharing”, IEEE Wireless Communications Magazine, Volume 56 , Issue 7, Pages 96-101, July, 2018. [SCI 一区]

[22] Yili Gong, Chuang Hu, Yanyan Xu, et al., “A Distributed File System with Variable Sized Objects for Enhanced Random Writes”, The Computer Journal, Volume 59, Number 10, Pages 1536-1550, 2016. [CCF-B, SCI 四区]

[23] 魏森;周浩然;程大钊*;胡创，基于混合内存的Apache Spark缓存系统实现与优化[J]. 计算机科学, 2023.

[24] H Liang, Q Sang, C Hu, D Cheng*, X Zhou, D Wang, W Bao, Y Wang. DNN Surgery: Accelerating DNN Inference on the Edge through Layer Partitioning[J]. IEEE Transactions on Cloud Computing, 2023. （SCI二区）

[25] Zheng Zhang, Yaqi Xia, Hulin Wang, Donglin Yang, Chuang Hu;Xiaobo Zhou, Dazhao Cheng: MPMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism

高性能计算

[1] X Wei, ABMM Rahman, D Cheng, Y Wang: Joint Optimization across Timescales: Resource Placement and Task Dispatching in Edge Clouds. IEEE Transactions on Cloud Computing (TCC), 2021. （SCI一区）

[2] D Cheng; Y Wang; D Dai*: Dynamic Resource Provisioning for Iterative Workloads on Apache Spark. IEEE Transactions on Cloud Computing (TCC), 2021.（SCI一区）

[3] W Rang; D Yang; D Cheng*: Dependency-aware Tensor Scheduler for Industrial AI Applications. IEEE Industrial Electronics Magazine (IEM), 2021.（SCI一区）

[4] D Yang, D Cheng*, W Rang, Y Wang: Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers. IEEE Transactions on Cloud Computing (TCC), 2019.（SCI一区）

[5] D Cheng*, X Zhou, Y Xu, L Liu, C Jiang: Deadline-aware MapReduce job scheduling with dynamic resource availability. IEEE transactions on parallel and distributed systems (TPDS), 2018:30 (4), 814-826.（CCF A类）

[6] D Cheng*, X Zhou, Z Ding, Y Wang, M Ji: Heterogeneity aware workload management in distributed sustainable datacenters. IEEE Transactions on Parallel and Distributed Systems (TPDS),2018:30 (2), 375-387.（CCF A类）

[7] D Cheng*, X Zhou, Y Wang, C Jiang: Adaptive scheduling parallel jobs with dynamic batching in spark streaming. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018:29 (12), 2672-2685.（CCF A类）

[8] D Cheng, X Zhou*, P Lama, J Wu, C Jiang: Cross-platform resource scheduling for spark and mapreduce on yarn. IEEE Transactions on Computers (TC). 2017:66 (8), 1341-1353.（CCF A类）

[9] D Cheng, J Rao, Y Guo, C Jiang, X Zhou*: Improving performance of heterogeneous mapreduce clusters with adaptive task tuning. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2016:28 (3), 774-786.（CCF A类）

[10] Y Guo, J Rao, D Cheng, X Zhou*: ishuffle: Improving hadoop performance with shuffle-on-write. IEEE transactions on parallel and distributed systems (TPDS), 2016:28 (6), 1649-1662.

[11] D Cheng, J Rao, C Jiang, X Zhou*: Elastic power-aware resource provisioning of heterogeneous workloads in self-sustainable datacenters. IEEE Transactions on Computers (TC). 2015:65 (2), 508-521.（CCF A类）

[12] W Rang, D Yang, Z Li, D Cheng: Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications. 2021 IEEE International Conference on Big Data (Big Data), 1470-1480

[13] K Suo, J Son, D Cheng, W Chen, S Baidya: Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing. (CLUSTER 2021): 433-443

[14] W Rang, D Yang, D Cheng: A Shared Memory Cache Layer across Multiple Executors in Apache Spark.2020 IEEE International Conference on Big Data (Big Data), 477-482.

[15] D Yang, W Rang, D Cheng: Mitigating Stragglers in the Decentralized Training on Heterogeneous Clusters.Proceedings of the 21st International Middleware Conference (Middleware), 386-399.

[16] W Rang, D Yang, D Cheng*, K Suo, W Chen: Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning.2020 IEEE International Conference on Cluster Computing (CLUSTER), 392-398.

[17] K Suo, Y Shi, X Xu, D Cheng, W Chen:Tackling Cold Start in Serverless Computing with Container Runtime Reusing.Proceedings of the Workshop on Network Application Integration/CoDesign, 54-55.

[18] D Yang, D Cheng: Efficient gpu memory management for nonlinear dnns. Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 185-196.

[19] J Tian, S Di, C Zhang, X Liang, S Jin, D Cheng, D Tao*, F Cappello: Wavesz: A hardware-algorithm co-design of efficient lossy compression for scientific data. Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 74-88.

[20] D Yang, W Rang, D Cheng, Y Wang, J Tian, D Tao:Elastic Executor Provisioning for Iterative Workloads on Apache Spark. 2019 IEEE International Conference on Big Data (Big Data), 413-422.

[21] TBG Perez, X Zhou, D Cheng: Reference-distance eviction and prefetching for cache management in spark. Proceedings of the 47th International Conference on Parallel Processing (ICPP), 1-10 12.

[22] D Yang, W Rang, D Cheng: Joint optimization of mapreduce scheduling and network policy in hierarchical clouds. Proceedings of the 47th International Conference on Parallel Processing (ICPP), 1-10.

[23] D Cheng, Y Chen, X Zhou, D Gmach, D Milojicic: Adaptive scheduling of parallel jobs in spark streaming. IEEE INFOCOM 2017-IEEE Conference on Computer Communicationsc(INFOCOM), 1-9.

[24] D Cheng, J Rao, Y Guo, X Zhou: Improving mapreduce performance in heterogeneous environments with adaptive task tuning. Proceedings of the 15th International Middleware Conference (Middleware), 97-108.

低功耗计算

[1] D Cheng*, X Zhou, P Lama, M Ji, C Jiang: Energy efficiency aware task assignment with dvfs in heterogeneous hadoop clusters. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017:29 (1), 70-82.（CCF A类）

[2] D Cheng, Y Guo, C Jiang, X Zhou*: Self-tuning batching with dvfs for performance improvement and energy efficiency in internet servers. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 2015:10 (1), 1-32.

[3] D Cheng, P Lama, C Jiang, X Zhou: Towards energy efficiency in heterogeneous hadoop clusters by adaptive task assignment. 2015 IEEE 35th International Conference on Distributed Computing Systems (ICDCS). 359-368.

[4] D Cheng, J Rao, C Jiang, X Zhou: Resource and deadline-aware job scheduling in dynamic hadoop clusters. 2015 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 956-965.

[5] Y Guo, J Rao, D Cheng, C Jiang, CZ Xu, X Zhou: Storeapp: A shared storage appliance for efficient and scalable virtualized hadoop clusters. 2015 IEEE Conference on Computer Communications (INFOCOM), 594-602.

[6] D Cheng, Y Guo, X Zhou: Self-tuning batching with dvfs for improving performance and energy efficiency in servers. 2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS),40-49.

可扩展计算

[1] T Li; Z Qiu; D Cheng; W Wang; X Shi; Y Wang*: Privacy-Preserving Participant Grouping for Mobile Social Sensing over Edge Clouds. IEEE Transactions on Network Science and Engineering (TNSE), 2021.

[2] W Rang; D Yang; D Cheng*: Yu Wang; Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021.（CCF A类）

[3] P Lama, S Wang, X Zhou, D Cheng: Performance isolation of data-intensive scale-out applications in a multi-tenant cloud. 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 85-94.

[4] D Cheng, C Jiang, X Zhou: Heterogeneity-aware workload placement and migration in distributed sustainable datacenters. 2014 IEEE 28th International Parallel and Distributed Processing Symposium (IPDPS), 307-316.

[5] Yili Gong; Chuang Hu; Yanyan Xu; Wenjie Wang ; A distributed file system with variable si zed objects for enhanced random writes, Computer Journal, 2016, 59(10): 1536-1550

[6] Yili Gong; Yanyan Xu; Yingchun Lei; Wenjie Wang ; VarFS: A variable-sized objects based d istributed file system, 2015 IEEE 17th International Conference on High Performance Computing and Communications, New York, NY, United states, 2015-08-24至2015-08-26

[7] Yili Gong; Jia Tang; Wenhai Li; Zihui Ye ; Massive spatial query on the Kepler architecture, 2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Pr ocessors (ASAP), Seattle, WA, USA, 2017-7-10至2017-7-12

[8] Yili Gong, Chuang Hu , Wentao Ma, et al., “CC-Paxos: Integrating Consistency and Reliability in Wide-Area Storage Systems”, in Proceedings of IEEE International Conference on Parallel and Distributed Systems (ICPADS’16) , Wuhan, China, December 2016. [CCF-C]

[9] Caixin Gong; Shuibing He; Yili Gong; Yingchun Lei ; On Integration of Appends and Merges in Log-Structured Merge Trees, Proceedings of the 48th International Conference on Parallel Proce ssing - ICPP 2019, Kyoto, Japan, 2019-8-5至2019-8-8

[10] Chuang Hu, Wei Bao, Dan Wang, and Fengming Liu, “Dynamic Adaptive DNN Surgery for Inference Acceleration on the Edge”, Proceedings of the 38th IEEE International Conference on Computer Communication (INFOCOM’19), Paris, France, April 29 - May 2, 2019. [CCF-A]

[11] Chuang Hu, Wei Bao, and Dan Wang, “IoT Communication Sharing: Scenarios, Algorithms and Implementation”, Proceedings of the 37th IEEE International Conference on Computer Communication (INFOCOM’18), Honolulu, HI, October 24-28, 2018. [CCF-A]

[12] Chuang Hu, Huanghuang Liang, Xiaoming Han, Boan Liu, Dazhao Cheng, and Dan Wang, “Spread: Decentralized Model Aggregation for Scalable Federated Learning”, 51st International Conference on Parallel Processing (ICPP’22), Bordeaux, France, August 29- September 1, 2022. [CCF-B]

[13] Rui Lu, Chuang Hu*, Dan Wang, and Jin Zhang, “Gemini: a Real-time Video Analytics System with Dual Computing Resource Control”, The Seventh ACM/IEEE Symposium on Edge Computing (SEC’22), Seattle, WA, December 5-8, 2022.

[14] Siping Shi, Chuang Hu, Dan Wang, and Yifei Zhu, and Zhu Han, “Distributionally Robust Federated Learning for Differentially Private Data”, 42nd IEEE International Conference on Distributed Computing Systems (ICDCS’22), Bologna, Italy, July 10-13, 2022. [CCF-B]

[15] Chuang Hu, Wei Bao, Dan Wang, Yi Qian, Muqiao Zheng and Shi Wang, “sTube+: An IoT Communication Sharing Architecture for Smart After-sales Maintenance in Buildings”, Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Build Environments (BuildSys’17), Delft, The Netherlands, November 8-9, 2017.

[16] Junkun Peng, Qing Li, Xiaoteng Ma, Yong Jiang, Yutao Dong, Chuang Hu and Meng Chen, “MagNet: Cooperative Edge Caching by Automatic Content Congregating”, Proceedings of the ACMWeb Conference (WWW’22), accepted, 2022. [CCF-A]

[17] Qiong Chen, Zimu Zheng, Chuang Hu, Dan Wang, and Fangming Liu, “Data-driven Task Allocation for Multi-task Transfer Learning on the Edge”, Proceedings ofthe IEEE International Conference on Distributed Computing Systems (ICDCS’19), Dallas, Texas, July 7-9, 2019. [CCF-B]

[18] Zimu Zheng, Chuang Hu, and Dan Wang, “Time-aware Chiller Sequencing Control with Data-driven Chiller Performance Profiling (Poster)”, Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Build Environments (BuildSys’17), Delft, The Netherlands, November 8-9, 2017.

[19] Chuang Hu, Rui Lu, and Dan Wang, “FEVA: A FEderated Video Analytics Architecture for Networked Smart Cameras”, IEEE Network, Volume 35, Issue 6, Pages 163-170, December, 2021. [SCI 一区]

[20] Siping Shi, Chuang Hu, Dan Wang, and Yifei Zhu, and Zhu Han, “Federated Anomaly Analytics for Local Model Poisoning Attack”, IEEE Journal on Selected Areas in Communications (JSAC), Volume 40, Issue 2, Pages 596-610, February, 2022. [CCF-A, SCI 一区]

[21] Chuang Hu, Wei Bao, Dan Wang, Yi Qian, Muqiao Zheng and Shi Wang, “sTube+: An IoT Communication Sharing Architecture for Smart After-sales Maintenance in Buildings”, ACM Transactions on Sensor Networks (TOSN), Volume 14, Issue 3-4, Pages 1-29, December, 2018. [CCF-B，SCI 三区]

[22] Qiong Chen, Zimu Zheng, Chuang Hu, Dan Wang, and Fangming Liu,“On-Edge Multi-Task Transfer Learning: Model and Practice With Data-Driven Task Allocation”, IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 31, Number 6, Pages 1357-1371, June, 2020. [CCF-A, SCI 二区]

[23] Dan Wang, Wei Bao, Chuang Hu, Yi Qian, Muqiao Zheng and Shi Wang, “sTube: An Architecture for IoT Communication Sharing”, IEEE Wireless Communications Magazine, Volume 56 , Issue 7, Pages 96-101, July, 2018. [SCI 一区]

[24] Yili Gong, Chuang Hu, Yanyan Xu, et al., “A Distributed File System with Variable Sized Objects for Enhanced Random Writes”, The Computer Journal, Volume 59, Number 10, Pages 1536-1550, 2016. [CCF-B, SCI 四区]