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2020 – today
- 2023
[j22]Jiashu Wu
, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Cheng-Zhong Xu:
Joint Semantic Transfer Network for IoT Intrusion Detection. IEEE Internet Things J. 10(4): 3368-3383 (2023)- [j21]Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu:
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. IEEE Trans. Big Data 9(3): 991-1003 (2023) - [j20]Chengxi Gao, Shuhui Chu, Hong Xu, Minxian Xu, Kejiang Ye, Chengzhong Xu:
Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks. IEEE Trans. Cloud Comput. 11(1): 1038-1049 (2023) - [j19]Yongkang Li, Yanying Lin, Yang Wang, Kejiang Ye, Cheng-Zhong Xu:
Serverless Computing: State-of-the-Art, Challenges and Opportunities. IEEE Trans. Serv. Comput. 16(2): 1522-1539 (2023) - [c69]Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, Chengzhong Xu:
Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees. ASPLOS (1) 2023: 62-77 - [c68]Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu:
Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms. EuroSys 2023: 416-432 - [i13]Jiashu Wu, Hao Dai, Yang Wang, Kejiang Ye, Chengzhong Xu:
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach. CoRR abs/2301.09801 (2023) - [i12]Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks. CoRR abs/2303.15127 (2023) - 2022
- [j18]Yuhang Zhang, Hongshuai Ren, Wensi Yang, Yang Wang, Kejiang Ye, Cheng-Zhong Xu:
The strong substructure and feature attention mechanism for image semantic segmentation. Concurr. Comput. Pract. Exp. 34(12) (2022) - [j17]Jiashu Wu, Yang Wang, Xiaopeng Fan, Kejiang Ye, Cheng-Zhong Xu:
Toward fast theta-join: A prefiltering and amalgamated partitioning approach. Concurr. Comput. Pract. Exp. 34(17) (2022) - [j16]Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu:
PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing. Softw. Pract. Exp. 52(2): 394-414 (2022) - [j15]Yang Wang, Min Li, Hao Dai, Kenneth B. Kent, Kejiang Ye, Chengzhong Xu:
Deadlock Avoidance Algorithms for Recursion-Tree Modeled Requests in Parallel Executions. IEEE Trans. Computers 71(9): 2073-2087 (2022) - [j14]Kejiang Ye, Haiying Shen, Yang Wang, Cheng-Zhong Xu:
Multi-Tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization. IEEE Trans. Cloud Comput. 10(2): 899-912 (2022) - [j13]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. IEEE Trans. Intell. Transp. Syst. 23(5): 3904-3924 (2022) - [j12]Juanjuan Zhao, Liutao Zhang, Kejiang Ye, Jiexia Ye, Jun Zhang, Fan Zhang, Cheng-Zhong Xu:
GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data. IEEE Trans. Intell. Transp. Syst. 23(10): 18337-18351 (2022) - [j11]Minxian Xu, Chenghao Song, Shashikant Ilager, Sukhpal Singh Gill, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. 19(4): 3995-4009 (2022) - [j10]Minxian Xu, Chenghao Song, Huaming Wu, Sukhpal Singh Gill, Kejiang Ye, Chengzhong Xu:
esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments. ACM Trans. Internet Techn. 22(3): 75:1-75:24 (2022) - [j9]Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Cheng-Zhong Xu:
An In-Depth Study of Microservice Call Graph and Runtime Performance. IEEE Trans. Parallel Distributed Syst. 33(12): 3901-3914 (2022) - [j8]Guoliang Li, Shuai Wang, Kejiang Ye, Miaowen Wen, Derrick Wing Kwan Ng, Marco Di Renzo:
Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection. IEEE Wirel. Commun. Lett. 11(12): 2660-2664 (2022) - [c67]Hangtao He, Kejiang Ye:
Graph Structure Neural Differential Equations on Spatio-temporal Prediction. Big Data 2022: 1830-1835 - [c66]Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu:
The power of prediction: microservice auto scaling via workload learning. SoCC 2022: 355-369 - [c65]Xianghuan He, Xitong Gao, Juanjuan Zhao, Chengxi Gao, Kejiang Ye:
Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM. CLOUD 2022: 39-53 - [c64]Shisheng Deng, Dongping Liao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
Improving Few-Shot Image Classification with Self-supervised Learning. CLOUD 2022: 54-68 - [c63]Yanying Lin, Junhong Chen, Yang Wang, Kejiang Ye:
ESBench: Understanding Deep Learning Inference Overheads for Edge Serverless. HPCC/DSS/SmartCity/DependSys 2022: 267-274 - [c62]Hangtao He, Linyu Su, Kejiang Ye:
GraphGRU: A Graph Neural Network Model for Resource Prediction in Microservice Cluster. ICPADS 2022: 499-506 - [c61]Deshi Deng, Yanying Lin, Kejiang Ye:
System-level Implications of Serverless: Workload Characterizing and Performance Understanding. ISPA/BDCloud/SocialCom/SustainCom 2022: 331-338 - [e3]Kejiang Ye, Liang-Jie Zhang:
Cloud Computing - CLOUD 2021 - 14th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10-14, 2021, Proceedings. Lecture Notes in Computer Science 12989, Springer 2022, ISBN 978-3-030-96325-5 [contents] - [e2]Kejiang Ye, Liang-Jie Zhang:
Cloud Computing - CLOUD 2022 - 15th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10-14, 2022, Proceedings. Lecture Notes in Computer Science 13731, Springer 2022, ISBN 978-3-031-23497-2 [contents] - [i11]Minxian Xu, Chenghao Song, Huaming Wu, Sukhpal Singh Gill, Kejiang Ye, Chengzhong Xu:
EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment. CoRR abs/2203.02684 (2022) - [i10]Jiashu Wu, Yang Wang, Xiaopeng Fan, Kejiang Ye, Chengzhong Xu:
Towards Fast Theta-join: A Prefiltering and Amalgamated Partitioning Approach. CoRR abs/2208.02981 (2022) - [i9]Guoliang Li, Shuai Wang, Kejiang Ye, Miaowen Wen, Derrick Wing Kwan Ng, Marco Di Renzo:
Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection. CoRR abs/2208.07592 (2022) - [i8]Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Chengzhong Xu:
Joint Semantic Transfer Network for IoT Intrusion Detection. CoRR abs/2210.15911 (2022) - [i7]Zongze Li, Shuai Wang, Shiyao Zhang, Miaowen Wen, Kejiang Ye, Yik-Chung Wu, Derrick Wing Kwan Ng:
Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty. CoRR abs/2212.06459 (2022) - [i6]Tianrui Qin, Xianghuan He, Xitong Gao, Yiren Zhao, Kejiang Ye, Cheng-Zhong Xu:
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation. CoRR abs/2212.09979 (2022) - 2021
- [c60]Hangtao He, Kejiang Ye, Cheng-Zhong Xu:
Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention Network. IEEE BigData 2021: 1409-1417 - [c59]Rui Wang, Kejiang Ye, Yang Wang, Cheng-Zhong Xu:
xBCBench: A Benchmarking Tool for Analyzing the Performance of Blockchain Systems. BlockSys 2021: 101-114 - [c58]Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, Chengzhong Xu:
Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis. SoCC 2021: 412-426 - [c57]Yonghe Zhang, Kejiang Ye, Cheng-Zhong Xu:
An Experimental Analysis of Function Performance with Resource Allocation on Serverless Platform. CLOUD 2021: 17-31 - [c56]Kao Wen, Junjian Huang, Chan Zhou, Kejiang Ye:
Electronic Card Localization Algorithm Based on Visible Light Screen Communication. CLOUD 2021: 32-44 - [c55]Yanying Lin, Kejiang Ye, Yongkang Li, Peng Lin, Yingfei Tang, Cheng-Zhong Xu:
BBServerless: A Bursty Traffic Benchmark for Serverless. CLOUD 2021: 45-60 - [c54]Yu Liu, Kejiang Ye, Cheng-Zhong Xu:
Performance Evaluation of Various RISC Processor Systems: A Case Study on ARM, MIPS and RISC-V. CLOUD 2021: 61-74 - [c53]Wenyan Chen, Chengzhi Lu, Kejiang Ye, Yang Wang, Cheng-Zhong Xu:
RPTCN: Resource Prediction for High-dynamic Workloads in Clouds based on Deep Learning. CLUSTER 2021: 59-69 - [c52]Peng Lin, Yishen Hu, Yanying Lin, Kejiang Ye, Cheng-Zhong Xu:
PEAN: A Packet-level End-to-end Attentive Network for Encrypted Traffic Identification. HPCC/DSS/SmartCity/DependSys 2021: 267-274 - [i5]Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu:
PDMA: Probabilistic Service Migration Approach for Delay-aware and Mobility-aware Mobile Edge Computing. CoRR abs/2106.05584 (2021) - [i4]Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting. CoRR abs/2107.01528 (2021) - [i3]Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction. CoRR abs/2108.03900 (2021) - 2020
- [j7]Wensi Yang, Qingfeng Yao, Kejiang Ye, Cheng-Zhong Xu:
Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation. Int. J. Parallel Program. 48(1): 61-79 (2020) - [j6]Wen-Yan Chen, Kejiang Ye, Chengzhi Lu, Dongdai Zhou, Cheng-Zhong Xu:
Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters. J. Comput. Sci. Technol. 35(2): 412-417 (2020) - [j5]Yang Wang, Shan Cao, Hongshuai Ren, Jianjun Li, Kejiang Ye, Cheng-Zhong Xu, Xi Chen:
Towards cost-effective service migration in mobile edge: A Q-learning approach. J. Parallel Distributed Comput. 146: 175-188 (2020) - [j4]Mingzhe Du, Yang Wang, Kejiang Ye, Chengzhong Xu:
Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment. IEEE Trans. Computers 69(10): 1519-1532 (2020) - [c51]Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Cheng-Zhong Xu, Jun Zhang, Kejiang Ye:
A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems. BigData 2020: 116-126 - [c50]Yongzhong Sun, Kejiang Ye, Cheng-Zhong Xu:
PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs. CLOUD 2020: 111-125 - [c49]Shujian Ji, Kejiang Ye, Cheng-Zhong Xu:
A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder. CLOUD 2020: 126-140 - [c48]Guomei Shi, Li Li, Jun Wang, Wenyan Chen, Kejiang Ye, Chengzhong Xu:
HySync: Hybrid Federated Learning with Effective Synchronization. HPCC/DSS/SmartCity 2020: 628-633 - [c47]Yanying Lin, Kejiang Ye, Ming Chen, Naitian Deng, Tailin Wu, Cheng-Zhong Xu:
LBNN: Perceiving the State Changes of a Core Telecommunications Network via Linear Bayesian Neural Network. ICPADS 2020: 72-80 - [c46]Jingjie Guo, Kelang Tian, Kejiang Ye, Cheng-Zhong Xu:
MA-LSTM: A Multi-Attention Based LSTM for Complex Pattern Extraction. ICPR 2020: 3605-3611 - [c45]Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu:
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. ICPR 2020: 5130-5136 - [c44]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction. ICPR 2020: 6702-6709 - [c43]Kelang Tian, Jingjie Guo, Kejiang Ye, Cheng-Zhong Xu:
ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting. ICTAI 2020: 714-721 - [c42]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. IJCNN 2020: 1-8 - [c41]Rui Wang, Kejiang Ye, Tianhui Meng, Cheng-Zhong Xu:
Performance Evaluation on Blockchain Systems: A Case Study on Ethereum, Fabric, Sawtooth and Fisco-Bcos. SCC 2020: 120-134 - [e1]João Eduardo Ferreira, Balaji Palanisamy, Kejiang Ye, Siva Kantamneni, Liang-Jie Zhang:
Services - SERVICES 2020 - 16th World Congress, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings. Lecture Notes in Computer Science 12411, Springer 2020, ISBN 978-3-030-59594-4 [contents] - [i2]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction. CoRR abs/2005.04955 (2020) - [i1]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. CoRR abs/2005.11691 (2020)
2010 – 2019
- 2019
- [c40]Yuhang Zhang, Wensi Yang, Wanlin Sun, Kejiang Ye, Ming Chen, Cheng-Zhong Xu:
The Constrained GAN with Hybrid Encoding in Predicting Financial Behavior. AIMS 2019: 13-27 - [c39]Wensi Yang, Yuhang Zhang, Kejiang Ye, Li Li, Cheng-Zhong Xu:
FFD: A Federated Learning Based Method for Credit Card Fraud Detection. BigData 2019: 18-32 - [c38]Jin Hao, Kejiang Ye, Cheng-Zhong Xu:
Live Migration of Virtual Machines in OpenStack: A Perspective from Reliability Evaluation. CLOUD 2019: 99-113 - [c37]Peng Lin, Kejiang Ye, Cheng-Zhong Xu:
Dynamic Network Anomaly Detection System by Using Deep Learning Techniques. CLOUD 2019: 161-176 - [c36]Shujian Ji, Kejiang Ye, Cheng-Zhong Xu:
CMonitor: A Monitoring and Alarming Platform for Container-Based Clouds. CLOUD 2019: 324-339 - [c35]Wenyan Chen, Kejiang Ye, Cheng-Zhong Xu:
Co-Locating Online Workload and Offline Workload in the Cloud: An Interference Analysis. HPCC/SmartCity/DSS 2019: 2278-2283 - [c34]Shilin Zhao, Kejiang Ye, Cheng-Zhong Xu:
Traffic Classification and Application Identification Based on Machine Learning in Large-Scale Supercomputing Center. HPCC/SmartCity/DSS 2019: 2299-2304 - [c33]Rui Wang, Kejiang Ye, Cheng-Zhong Xu:
Performance Benchmarking and Optimization for Blockchain Systems: A Survey. ICBC 2019: 171-185 - [c32]Peng Lin, Kejiang Ye, Ming Chen, Cheng-Zhong Xu:
DCSA: Using Density-Based Clustering and Sequential Association Analysis to Predict Alarms in Telecommunication Networks. ICPADS 2019: 1-8 - [c31]Chengzhi Lu, Kejiang Ye, Wenyan Chen, Cheng-Zhong Xu:
ADGS: Anomaly Detection and Localization Based on Graph Similarity in Container-Based Clouds. ICPADS 2019: 53-60 - [c30]Jinpeng Wang, Yang Wang, Hekang Wang, Kejiang Ye, Cheng-Zhong Xu, Shuibing He, Lingfang Zeng:
Towards Cluster-wide Deduplication Based on Ceph. NAS 2019: 1-8 - [c29]Yongzhong Sun, Kejiang Ye, Wenbo Wang, Cheng-Zhong Xu:
BTS: Balanced Task Scheduling Strategy Based on Multi-resource Prediction and Allocation in Cloud Environment. NPC 2019: 345-349 - [c28]Shujian Ji, Tongzheng Sun, Kejiang Ye, Wenbo Wang, Cheng-Zhong Xu:
DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection. NPC 2019: 350-354 - [c27]Peng Lin, Kejiang Ye, Cheng-Zhong Xu:
NetDetector: an Anomaly Detection Platform for Networked Systems. RCAR 2019: 69-74 - 2018
- [c26]Kejiang Ye, Yangyang Liu, Guoyao Xu, Cheng-Zhong Xu:
Fault Injection and Detection for Artificial Intelligence Applications in Container-Based Clouds. CLOUD 2018: 112-127 - [c25]Mingyi Zhu, Kejiang Ye, Cheng-Zhong Xu:
Network Anomaly Detection and Identification Based on Deep Learning Methods. CLOUD 2018: 219-234 - [c24]Kejiang Ye, Cheng-Zhong Xu:
Reducing Tail Latency of Interactive Multi-tier Workloads in the Cloud. CLUSTER 2018: 162-163 - [c23]Wenyan Chen, Kejiang Ye, Yang Wang, Guoyao Xu, Cheng-Zhong Xu:
How Does the Workload Look Like in Production Cloud? Analysis and Clustering of Workloads on Alibaba Cluster Trace. ICPADS 2018: 102-109 - [c22]Kejiang Ye, Yanmin Kou, Chengzhi Lu, Yang Wang, Cheng-Zhong Xu:
Modeling Application Performance in Docker Containers Using Machine Learning Techniques. ICPADS 2018: 1057-1062 - [c21]Mingyi Zhu, Kejiang Ye, Yang Wang, Cheng-Zhong Xu:
A Deep Learning Approach for Network Anomaly Detection Based on AMF-LSTM. NPC 2018: 137-141 - 2017
- [c20]Kejiang Ye:
Anomaly Detection in Clouds: Challenges and Practice. ETCD@ASPLOS 2017: 6:1-6:2 - [c19]Chengzhi Lu, Kejiang Ye, Guoyao Xu, Cheng-Zhong Xu, Tongxin Bai:
Imbalance in the cloud: An analysis on Alibaba cluster trace. IEEE BigData 2017: 2884-2892 - [c18]Kejiang Ye, Yunjie Ji:
Performance Tuning and Modeling for Big Data Applications in Docker Containers. NAS 2017: 1-6 - 2016
- [c17]Zhaohui Wu, Xiang Li, Peter Garraghan, Xiaohong Jiang, Kejiang Ye, Albert Y. Zomaya:
Virtual Machine Level Temperature Profiling and Prediction in Cloud Datacenters. ICDCS 2016: 735-736 - 2015
- [j3]Kejiang Ye, Zhaohui Wu, Chen Wang, Bing Bing Zhou, Weisheng Si, Xiaohong Jiang, Albert Y. Zomaya:
Profiling-Based Workload Consolidation and Migration in Virtualized Data Centers. IEEE Trans. Parallel Distributed Syst. 26(3): 878-890 (2015) - 2014
- [j2]Kejiang Ye, Zhaohui Wu, Bing Bing Zhou, Xiaohong Jiang, Chen Wang, Albert Y. Zomaya:
Virt-B: Towards Performance Benchmarking of Virtual Machine Systems. IEEE Internet Comput. 18(3): 64-72 (2014) - [c16]Yanzhang He, Xiaohong Jiang, Zhaohui Wu, Kejiang Ye, Zhongzhong Chen:
Scalability Analysis and Improvement of Hadoop Virtual Cluster with Cost Consideration. IEEE CLOUD 2014: 594-601 - 2013
- [c15]Xiang Li, Xiaohong Jiang, Kejiang Ye, Peng Huang:
DartCSim+: Enhanced CloudSim with the Power and Network Models Integrated. IEEE CLOUD 2013: 644-651 - [c14]Yanzhang He, Xiaohong Jiang, Kejiang Ye, Ran Ma, Xiang Li:
HPACS: A High Privacy and Availability Cloud Storage Platform with Matrix Encryption. APPT 2013: 132-145 - 2012
- [c13]Xiang Li, Xiaohong Jiang, Peng Huang, Kejiang Ye:
DartCSim: An enhanced user-friendly cloud simulation system based on CloudSim with better performance. CCIS 2012: 392-396 - [c12]Kejiang Ye, Xiaohong Jiang, Yanzhang He, Xiang Li, Haiming Yan, Peng Huang:
vHadoop: A Scalable Hadoop Virtual Cluster Platform for MapReduce-Based Parallel Machine Learning with Performance Consideration. CLUSTER Workshops 2012: 152-160 - [c11]Kejiang Ye, Xiaohong Jiang, Ran Ma, Fengxi Yan:
VC-Migration: Live Migration of Virtual Clusters in the Cloud. GRID 2012: 209-218 - 2011
- [j1]Dawei Huang, Deshi Ye, Qinming He, Jianhai Chen, Kejiang Ye:
Virt-LM: a benchmark for live migration of virtual machine (abstracts only). SIGMETRICS Perform. Evaluation Rev. 39(3): 18 (2011) - [c10]Kejiang Ye, Xiaohong Jiang, Dawei Huang, Jianhai Chen, Bei Wang:
Live Migration of Multiple Virtual Machines with Resource Reservation in Cloud Computing Environments. IEEE CLOUD 2011: 267-274 - [c9]Yuxiang Shi, Xiaohong Jiang, Kejiang Ye:
An Energy-Efficient Scheme for Cloud Resource Provisioning Based on CloudSim. CLUSTER 2011: 595-599 - [c8]Xing Li, Qinming He, Jianhai Chen, Kejiang Ye, Ting Yin:
Informed Live Migration Strategies of Virtual Machines for Cluster Load Balancing. NPC 2011: 111-122 - [c7]Dawei Huang, Deshi Ye, Qinming He, Jianhai Chen, Kejiang Ye:
Virt-LM: a benchmark for live migration of virtual machine. ICPE 2011: 307-316 - 2010
- [c6]Kejiang Ye, Jianhua Che, Xiaohong Jiang, Jianhai Chen, Xing Li:
vTestkit: A Performance Benchmarking Framework for Virtualization Environments. ChinaGrid 2010: 130-136 - [c5]Kejiang Ye, Dawei Huang, Xiaohong Jiang, Huajun Chen, Shuang Wu:
Virtual Machine Based Energy-Efficient Data Center Architecture for Cloud Computing: A Performance Perspective. GreenCom/CPSCom 2010: 171-178 - [c4]Kejiang Ye, Xiaohong Jiang, Siding Chen, Dawei Huang, Bei Wang:
Analyzing and Modeling the Performance in Xen-Based Virtual Cluster Environment. HPCC 2010: 273-280 - [c3]Kejiang Ye, Xiaohong Jiang, Deshi Ye, Dawei Huang:
Two Optimization Mechanisms to Improve the Isolation Property of Server Consolidation in Virtualized Multi-core Server. HPCC 2010: 281-288 - [c2]Kejiang Ye, Xiaohong Jiang, Qinming He, Xing Li, Jianhai Chen:
Evaluate the Performance and Scalability of Image Deployment in Virtual Data Center. NPC 2010: 390-401
2000 – 2009
- 2009
- [c1]Jianhua Che, Qinming He, Kejiang Ye, Dawei Huang:
Performance Combinative Evaluation of Typical Virtual Machine Monitors. HPCA (China) 2009: 96-101
Coauthor Index