Haoyu Wang

Orcid: 0000-0002-3604-4799

Affiliations:
  • University of Virginia, Charlottesville, VA, USA


According to our database1, Haoyu Wang authored at least 25 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An Instability-Resilient Renewable Energy Allocation System for a Cloud Datacenter.
IEEE Trans. Parallel Distributed Syst., March, 2023

Machine Learning Feature Based Job Scheduling for Distributed Machine Learning Clusters.
IEEE/ACM Trans. Netw., February, 2023

Cooperative Job Scheduling and Data Allocation in Data-Intensive Parallel Computing Clusters.
IEEE Trans. Cloud Comput., 2023

2022
Task Failure Prediction in Cloud Data Centers Using Deep Learning.
IEEE Trans. Serv. Comput., 2022

NCC: Neighbor-aware Congestion Control based on Reinforcement Learning for Datacenter Networks.
Proceedings of the 51st International Conference on Parallel Processing, 2022

2021
Towards Deadline Guaranteed Cloud Storage Services.
IEEE Trans. Serv. Comput., 2021

Multi-Agent Reinforcement Learning based Distributed Renewable Energy Matching for Datacenters.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

GeoCol: A Geo-distributed Cloud Storage System with Low Cost and Latency using Reinforcement Learning.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Machine Learning for Load Balancing in Cloud Datacenters.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
Improved Intermediate Data Management for MapReduce Frameworks.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Smartly Handling Renewable Energy Instability in Supporting A Cloud Datacenter.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

A Reinforcement Learning Based System for Minimizing Cloud Storage Service Cost.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Machine Learning Based Workload Prediction in Cloud Computing.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Job scheduling for large-scale machine learning clusters.
Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

2019
Cooperative Job Scheduling and Data Allocation for Busy Data-Intensive Parallel Computing Clusters.
Proceedings of the 48th International Conference on Parallel Processing, 2019

2018
Toward Efficient Short-Video Sharing in the YouTube Social Network.
ACM Trans. Internet Techn., 2018

Proactive Incast Congestion Control in a Datacenter Serving Web Applications.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Approaches for Resilience against Cascading Failures in Cloud Datacenters.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017
An Economical and SLO-Guaranteed Cloud Storage Service Across Multiple Cloud Service Providers.
IEEE Trans. Parallel Distributed Syst., 2017

Towards Long-View Computing Load Balancing in Cluster Storage Systems.
IEEE Trans. Parallel Distributed Syst., 2017

SocialQ&A: An Online Social Network Based Question and Answer System.
IEEE Trans. Big Data, 2017

Swarm-based Incast Congestion Control in Datacenters Serving Web Applications.
Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures, 2017

Healthedge: Task Scheduling for Edge Computing with Health Emergency and Human Behavior Consideration in Smart Homes.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

2016
Deadline Guaranteed Service for Multi-Tenant Cloud Storage.
IEEE Trans. Parallel Distributed Syst., 2016

2015
Computing load aware and long-view load balancing for cluster storage systems.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015


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