Huanle Xu

According to our database, Huanle Xu authored at least 47 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimizing Resource Management for Shared Microservices: A Scalable System Design.

Shutian Luo, Chenyu Lin, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Huanle Xu, Cheng-Zhong Xu

ACM Trans. Comput. Syst., May, 2024

Derm: SLA-aware Resource Management for Highly Dynamic Microservices.

Liao Chen, Shutian Luo, Chenyu Lin, Huanle Xu, Kejiang Ye, Chengzhong Xu

Dataset, April, 2024

Derm: SLA-aware Resource Management for Highly Dynamic Microservices.

Liao Chen, Shutian Luo, Chenyu Lin, Huanle Xu, Kejiang Ye, Chengzhong Xu

Dataset, March, 2024

Heet: Accelerating Elastic Training in Heterogeneous Deep Learning Clusters.

Zizhao Mo, Huanle Xu, Chengzhong Xu

Dataset, January, 2024

Optimizing Dynamic Data Center Provisioning through Speed Scaling: A Primal-Dual Perspective.

Xiaosong Chen, Huanle Xu, ChengZhong Xu

Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, 2024

SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing.

Chengzhi Lu, Huanle Xu, Yudan Li, Wenyan Chen, Kejiang Ye, Chengzhong Xu

Proceedings of the International Conference for High Performance Computing, 2024

Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters.

Zizhao Mo, Huanle Xu, Wing Cheong Lau

Proceedings of the 25th International Middleware Conference, 2024

Derm: SLA-aware Resource Management for Highly Dynamic Microservices.

Liao Chen, Shutian Luo, Chenyu Lin, Zizhao Mo, Huanle Xu, Kejiang Ye, ChengZhong Xu

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Heet: Accelerating Elastic Training in Heterogeneous Deep Learning Clusters.

Zizhao Mo, Huanle Xu, Chengzhong Xu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence.

Jie Dong, Zheng Wu, Huanle Xu, Defang Ouyang

Briefings Bioinform., November, 2023

Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach.

Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu

Dataset, June, 2023

Cloud Configuration Optimization for Recurring Batch-Processing Applications.

Yang Liu, Huanle Xu, Wing Cheong Lau

IEEE Trans. Parallel Distributed Syst., May, 2023

Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach.

Wenyan Chen, Zizhao Mo, Huanle Xu, Kejiang Ye, Chengzhong Xu

Proceedings of the International Conference for High Performance Computing, 2023

PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks.

Da Sun Handason Tam, Yang Liu, Huanle Xu, Siyue Xie, Wing Cheong Lau

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms.

Chengzhi Lu, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

Exploring Imbalances among Microservice Containers in Large Cloud Platforms.

Chenyu Lin, Shutian Luo, Huanle Xu

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees.

Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, Chengzhong Xu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

An In-Depth Study of Microservice Call Graph and Runtime Performance.

Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Cheng-Zhong Xu

IEEE Trans. Parallel Distributed Syst., 2022

Adaptive Secure Nearest Neighbor Query Processing Over Encrypted Data.

Rui Li, Alex X. Liu, Huanle Xu, Ying Liu, Huaqiang Yuan

IEEE Trans. Dependable Secur. Comput., 2022

Multi Resource Scheduling with Task Cloning in Heterogeneous Clusters.

Huanle Xu, Yang Liu, Wing Cheong Lau

Proceedings of the 51st International Conference on Parallel Processing, 2022

Online Resource Optimization for Elastic Stream Processing with Regret Guarantee.

Yang Liu, Huanle Xu, Wing Cheong Lau

Proceedings of the 51st International Conference on Parallel Processing, 2022

The power of prediction: microservice auto scaling via workload learning.

Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

Missing Data Recovery in Large Power Systems Using Network Embedding.

Tong Wu, Ying-Jun Angela Zhang, Yang Liu, Wing Cheong Lau, Huanle Xu

IEEE Trans. Smart Grid, 2021

Optimal Job Scheduling With Resource Packing for Heterogeneous Servers.

Huanle Xu, Yang Liu, Wing Cheong Lau

IEEE/ACM Trans. Netw., 2021

Profit Maximization in Mobile Crowdsourcing: A Competitive Analysis.

Qi Li, Lijun Cai, Huanle Xu, Tao Meng

IEEE Access, 2021

Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis.

Shutian Luo, Huanle Xu, Chengzhi Lu, Kejiang Ye, Guoyao Xu, Liping Zhang, Yu Ding, Jian He, Chengzhong Xu

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020

Online Resource Allocation With Machine Variability: A Bandit Perspective.

Huanle Xu, Yang Liu, Wing Cheong Lau, Tiantong Zeng, Jun Guo, Alex X. Liu

IEEE/ACM Trans. Netw., 2020

Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints.

Huanle Xu, Yang Liu, Wing Cheong Lau, Rui Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Accordia: Adaptive Cloud Configuration Optimization for Recurring Data-Intensive Applications.

Yang Liu, Huanle Xu, Wing Cheong Lau

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Online Job Scheduling with Redundancy and Opportunistic Checkpointing: A Speedup-Function-Based Analysis.

Huanle Xu, Gustavo de Veciana, Wing Cheong Lau, Kunxiao Zhou

IEEE Trans. Parallel Distributed Syst., 2019

Revisiting SRPT for Job Scheduling in Computing Clusters.

Huanle Xu, Huangting Wu, Wing Cheong Lau

Proceedings of the Queueing Theory and Network Applications, 2019

Efficient Online Resource Allocation in Heterogeneous Clusters with Machine Variability.

Huanle Xu, Yang Liu, Wing Cheong Lau, Jun Guo, Alex X. Liu

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Online Job Scheduling with Resource Packing on a Cluster of Heterogeneous Servers.

Yang Liu, Huanle Xu, Wing Cheong Lau

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Insecurity and Hardness of Nearest Neighbor Queries Over Encrypted Data.

Rui Li, Alex X. Liu, Ying Liu, Huanle Xu, Huaqiang Yuan

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications.

Zhibo Yang, Huanle Xu, Jianyuan Deng, Chen Change Loy, Wing Cheong Lau

IEEE Trans. Image Process., 2018

2017

Mitigating Service Variability in MapReduce Clusters via Task Cloning: A Competitive Analysis.

Huanle Xu, Wing Cheong Lau, Zhibo Yang, Gustavo de Veciana, Hanxu Hou

IEEE Trans. Parallel Distributed Syst., 2017

Optimization for Speculative Execution in Big Data Processing Clusters.

Huanle Xu, Wing Cheong Lau

IEEE Trans. Parallel Distributed Syst., 2017

Addressing job processing variability through redundant execution and opportunistic checkpointing: A competitive analysis.

Huanle Xu, Gustavo de Veciana, Wing Cheong Lau

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2016

Accelerating graph mining algorithms via uniform random edge sampling.

Ruohan Gao, Huanle Xu, Pili Hu, Wing Cheong Lau

Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015

Similar Handwritten Chinese Character Discrimination by Weakly Supervised Learning.

Zhibo Yang, Huanle Xu, Keda Fu, Yong Xia

CoRR, 2015

Optimization for speculative execution in a MapReduce-like cluster.

Huanle Xu, Wing Cheong Lau

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

DPCP: A protocol for optimal pull coordination in decentralized social networks.

Huanle Xu, Pili Hu, Wing Cheong Lau, Qiming Zhang, Yang Wu

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Task-Cloning Algorithms in a MapReduce Cluster with Competitive Performance Bounds.

Huanle Xu, Wing Cheong Lau

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

Solving Large Graph Problems in MapReduce-Like Frameworks via Optimized Parameter Configuration.

Huanle Xu, Ronghai Yang, Zhibo Yang, Wing Cheong Lau

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014

Regenerating codes over a binary cyclic code.

Kenneth W. Shum, Hanxu Hou, Minghua Chen, Huanle Xu, Hui Li

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Speculative Execution for a Single Job in a MapReduce-Like System.

Huanle Xu, Wing Cheong Lau

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013

Resource optimization for speculative execution in a MapReduce Cluster.

Huanle Xu, Wing Cheong Lau

Proceedings of the 2013 21st IEEE International Conference on Network Protocols, 2013