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Kun Suo
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2020 – today
- 2024
- [j6]Bobin Deng
, Bhargava Nadendla
Fixed-point Encoding and Architecture Exploration for Residue Number Systems. ACM Trans. Archit. Code Optim. 21(3): 53:1-53:27 (2024) - [j5]Hang Huang
vKernel: Enhancing Container Isolation via Private Code and Data. IEEE Trans. Computers 73(7): 1711-1723 (2024) - [j4]Xinquan Cai
Incendio: Priority-Based Scheduling for Alleviating Cold Start in Serverless Computing. IEEE Trans. Computers 73(7): 1780-1794 (2024) - [c32]Kun Suo
A Systematic Investigation of Hardware and Software in Electric Vehicular Platform. ACM Southeast Regional Conference 2024: 9-17 - [c31]Long Vu
Living on the Electric Vehicle and Cloud Era: A Study of Cyber Vulnerabilities, Potential Impacts, and Possible Strategies. ACM Southeast Regional Conference 2024: 18-26 - [c30]Nobel Dhar
An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices. ACM Southeast Regional Conference 2024: 69-76 - [c29]Md. Romyull Islam
Building a Resilient and Sustainable Grid: A Study of Challenges and Opportunities in AI for Smart Virtual Power Plants. ACM Southeast Regional Conference 2024: 95-103 - [i2]Xiaofeng Wu, Velibor Bojkovic, Bin Gu, Kun Suo, Kai Zou:
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion. CoRR abs/2403.18388 (2024) - 2023
- [j3]Seunghyeon Shin, Mallika Boyapati, Kun Suo, Kyungtae Kang, Junggab Son
An empirical analysis of image augmentation against model inversion attack in federated learning. Clust. Comput. 26(1): 349-366 (2023) - [j2]Kun Wang, Song Wu
Characterizing and optimizing Kernel resource isolation for containers. Future Gener. Comput. Syst. 141: 218-229 (2023) - [j1]Hang Huang, Yuqing Zhao, Jia Rao
Adapt Burstable Containers to Variable CPU Resources. IEEE Trans. Computers 72(3): 614-626 (2023) - [c28]Selena He
Robust Efficient License Plate and Character Detection System Based on Simplified CNN. ACM Southeast Regional Conference 2023: 104-111 - [c27]Dhanunjai Bandi, Yong Shi, Hossain Shahriar, Dan C. Lo, Kun Suo, Hongmei Chi
Quantum Machine Learning for Security Data Analysis. AIIoT 2023: 460-465 - 2022
- [c26]Tyler Holmes, Charlie McLarty, Yong Shi, Patrick Bobbie, Kun Suo:
Energy Efficiency on Edge Computing: Challenges and Vision. IPCCC 2022: 1-6 - [c25]Kun Suo, Tu N. Nguyen, Yong Shi, Jing Selena He, Chih-Cheng Hung:
Keep Clear of the Edges : An Empirical Study of Artificial Intelligence Workload Performance and Resource Footprint on Edge Devices. IPCCC 2022: 7-16 - [c24]Linh Le, Tu N. Nguyen, Kun Suo, Jing (Selena) He:
5G network slicing and drone-assisted applications: a deep reinforcement learning approach. DroneCom@MobiCom 2022: 109-114 - [i1]Linh Le, Tu N. Nguyen, Kun Suo, Jing He:
Efficient Embedding VNFs in 5G Network Slicing: A Deep Reinforcement Learning Approach. CoRR abs/2207.11822 (2022) - 2021
- [c23]Kun Suo, Yong Shi, Ahyoung Lee, Sabur Baidya
Characterizing networking performance and interrupt overhead of container overlay networks. ACM Southeast Conference 2021: 93-99 - [c22]Justin Duchatellier, Tyler Holmes, Kun Suo, Yong Shi:
An empirical study of thermal attacks on edge platforms. ACM Southeast Conference 2021: 175-179 - [c21]Kousalya Banka, Kun Suo, Yong Shi, Sabur Baidya
A study of state-of-the-art energy saving on edges. ACM Southeast Conference 2021: 224-228 - [c20]Divya Pramasani Mohandoss, Yong Shi, Kun Suo:
Outlier Prediction Using Random Forest Classifier. CCWC 2021: 27-33 - [c19]Yong Shi, Kun Suo, Jameson Hodge, Divya Pramasani Mohandoss, Steven Kemp:
Towards Optimizing Task Scheduling Process in Cloud Environment. CCWC 2021: 81-87 - [c18]Kun Suo, Junggab Son, Dazhao Cheng, Wei Chen, Sabur Baidya
Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing. CLUSTER 2021: 433-443 - [c17]Jiaxin Lei, Manish Munikar, Kun Suo, Hui Lu, Jia Rao:
Parallelizing packet processing in container overlay networks. EuroSys 2021: 261-276 - [c16]Kun Suo, Yong Shi, Chih-Cheng Hung, Patrick Bobbie:
Quantifying context switch overhead of artificial intelligence workloads on the cloud and edges. SAC 2021: 1182-1189 - 2020
- [c15]Wei Rang, Donglin Yang, Dazhao Cheng, Kun Suo, Wei Chen:
Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. CLUSTER 2020: 392-398 - [c14]Kun Suo, Yong Shi, Xiaohua Xu, Dazhao Cheng, Wei Chen:
Tackling Cold Start in Serverless Computing with Container Runtime Reusing. NAI@SIGCOMM 2020: 54-55 - [c13]Madhuri Gurunathrao Desai, Yong Shi, Kun Suo:
IoT Bonet and Network Intrusion Detection using Dimensionality Reduction and Supervised Machine Learning. UEMCON 2020: 316-322
2010 – 2019
- 2019
- [c12]Lin Gu, Junjian Guan, Song Wu, Hai Jin, Jia Rao, Kun Suo, Deze Zeng:
CNTC: A Container Aware Network Traffic Control Framework. GPC 2019: 208-222 - [c11]Jiaxin Lei, Kun Suo, Hui Lu, Jia Rao:
Tackling Parallelization Challenges of Kernel Network Stack for Container Overlay Networks. HotCloud 2019 - [c10]Yong Zhao, Kun Suo, Xiaofeng Wu, Jia Rao, Song Wu, Hai Jin:
Preemptive Multi-Queue Fair Queuing. HPDC 2019: 147-158 - [c9]Hang Huang, Jia Rao, Song Wu, Hai Jin, Kun Suo, Xiaofeng Wu:
Adaptive Resource Views for Containers. HPDC 2019: 243-254 - 2018
- [c8]Kun Suo, Jia Rao, Hong Jiang, Witawas Srisa-an:
Characterizing and optimizing hotspot parallel garbage collection on multicore systems. EuroSys 2018: 35:1-35:15 - [c7]Xiaofeng Wu, Kun Suo, Yong Zhao, Jia Rao:
A Side-channel Attack on HotSpot Heap Management. HotCloud 2018 - [c6]Kun Suo, Yong Zhao, Wei Chen, Jia Rao:
vNetTracer: Efficient and Programmable Packet Tracing in Virtualized Networks. ICDCS 2018: 165-175 - [c5]Kun Suo, Yong Zhao, Wei Chen, Jia Rao:
Demo/poster abstract: Efficient and flexible packet tracing for virtualized networks using eBPF. INFOCOM Workshops 2018: 1-2 - [c4]Kun Suo, Yong Zhao, Wei Chen, Jia Rao:
An Analysis and Empirical Study of Container Networks. INFOCOM 2018: 189-197 - 2017
- [c3]Kun Suo, Yong Zhao, Jia Rao, Luwei Cheng, Xiaobo Zhou, Francis C. M. Lau:
Preserving I/O prioritization in virtualized OSes. SoCC 2017: 269-281 - [c2]Yong Zhao, Kun Suo, Luwei Cheng, Jia Rao:
Scheduler activations for interference-resilient SMP virtual machine scheduling. Middleware 2017: 222-234 - 2016
- [c1]Kun Suo, Jia Rao, Luwei Cheng, Francis C. M. Lau:
Time Capsule: Tracing Packet Latency across Different Layers in Virtualized Systems. APSys 2016: 3:1-3:9
Coauthor Index
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last updated on 2024-11-15 20:37 CET by the dblp team
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