| 2019 | Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server. | Qihua Zhou, Kun Wang, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun |
| 2019 | An Online Mechanism for Purchasing IaaS Instances and Scheduling Pleasingly Parallel Jobs in Cloud Computing Environments. | Bingbing Zheng, Li Pan, Shijun Liu, Lu Wang |
| 2019 | An Optimal Vector Clock Algorithm for Multithreaded Systems. | Xiong Zheng, Vijay K. Garg |
| 2019 | HashFlow for Better Flow Record Collection. | Zongyi Zhao, Xingang Shi, Xia Yin, Zhiliang Wang, Qing Li |
| 2019 | Understanding Energy Efficiency in IoT App Executions. | Shulin Zhao, Prasanna Venkatesh Rengasamy, Haibo Zhang, Sandeepa Bhuyan, Nachiappan Chidambaram Nachiappan, Anand Sivasubramaniam, Mahmut Taylan Kandemir, Chita R. Das |
| 2019 | Distributed Traffic Engineering for Multi-Domain Software Defined Networks. | Laiping Zhao, Jingyu Hua, Yangyang Liu, Wenyu Qu, Suohao Zhang, Sheng Zhong |
| 2019 | Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning. | Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen |
| 2019 | CrowdLearn: A Crowd-AI Hybrid System for Deep Learning-based Damage Assessment Applications. | Daniel Yue Zhang, Yang Zhang, Qi Li, Thomas Plummer, Dong Wang |
| 2019 | Probabilistic Skyline Computation on Vertically Distributed Uncertain Data. | Kaiqi Zhang, Jinbao Wang, Muxian Wang, Xixian Han |
| 2019 | Reco: Efficient Regularization-Based Coflow Scheduling in Optical Circuit Switches. | Chi Zhang, Haisheng Tan, Chao Xu, Xiang-Yang Li, Shaojie Tang, Yupeng Li |
| 2019 | Tail Amplification in n-Tier Systems: A Study of Transient Cross-Resource Contention Attacks. | Shungeng Zhang, Huasong Shan, Qingyang Wang, Jianshu Liu, Qiben Yan, Jinpeng Wei |
| 2019 | Hide and Seek: Waveform Emulation Attack and Defense in Cross-Technology Communication. | Xiaonan Zhang, Pei Huang, Linke Guo, Yuguang Fang |
| 2019 | Simois: A Scalable Distributed Stream Join System with Skewed Workloads. | Fan Zhang, Hanhua Chen, Hai Jin |
| 2019 | DMRA: A Decentralized Resource Allocation Scheme for Multi-SP Mobile Edge Computing. | Chen Zhang, Hongwei Du, Qiang Ye, Chuang Liu, He Yuan |
| 2019 | OpenEI: An Open Framework for Edge Intelligence. | Xingzhou Zhang, Yifan Wang, Sidi Lu, Liangkai Liu, Lanyu Xu, Weisong Shi |
| 2019 | Joint Online Edge Caching and Load Balancing for Mobile Data Offloading in 5G Networks. | Yiming Zeng, Yaodong Huang, Zhenhua Liu, Yuanyuan Yang |
| 2019 | DeCloud: Truthful Decentralized Double Auction for Edge Clouds. | Aleksandr Zavodovski, Suzan Bayhan, Nitinder Mohan, Pengyuan Zhou, Walter Wong, Jussi Kangasharju |
| 2019 | p^2Charging: Proactive Partial Charging for Electric Taxi Systems. | Yukun Yuan, Desheng Zhang, Fei Miao, Jimin Chen, Tian He, Shan Lin |
| 2019 | Big RDF Data Storage, Computation, and Analysis: A Strawman's Arguments. | Pingpeng Yuan, Longlong Lin, Zhijuan Kou, Ling Liu, Hai Jin |
| 2019 | Fast Fault-Tolerant Sampling via Random Walk in Dynamic Networks. | Yuan Yuan, Feng Li, Dongxiao Yu, Jiguo Yu, Yu Wu, Weifeng Lv, Xiuzhen Cheng |
| 2019 | LACS: Load-Aware Cache Sharing with Isolation Guarantee. | Yinghao Yu, Wei Wang, Jun Zhang, Khaled Ben Letaief |
| 2019 | Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks. | Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara |
| 2019 | ADLP: Accountable Data Logging Protocol for Publish-Subscribe Communication Systems. | Man-Ki Yoon, Zhong Shao |
| 2019 | Toward Efficient Compute-Intensive Job Allocation for Green Data Centers: A Deep Reinforcement Learning Approach. | Deliang Yi, Xin Zhou, Yonggang Wen, Rui Tan |
| 2019 | Eugene: Towards Deep Intelligence as a Service. | Shuochao Yao, Kasthuri Jayarajah, Archan Misra, Tarek F. Abdelzaher, Yifan Hao, Yiran Zhao, Ailing Piao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Shaohan Hu, Dulanga Weerakoon |