Jiawei Liu

Orcid: 0000-0002-5871-9187

Affiliations:
  • University of Science and Technology of China, School of Computer Science and Technology, Hefei, China


According to our database1, Jiawei Liu authored at least 11 papers between 2021 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Multi-Tenant Deployment with Anomaly Isolation in Public Clouds.
Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Network Resource-Aware Multi-Job Deployment in Deep Learning Clusters.
Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

Cloud Overbooking Optimization: Reducing Temporal Volatility through Spatial Workload Aggregation.
Proceedings of the 9th Asia-Pacific Workshop on Networking, 2025

2024
ALEPH: Accelerating Distributed Training With eBPF-Based Hierarchical Gradient Aggregation.
IEEE/ACM Trans. Netw., October, 2024

Toward a Service Availability-Guaranteed Cloud Through VM Placement.
IEEE/ACM Trans. Netw., October, 2024

InArt: In-Network Aggregation with Route Selection for Accelerating Distributed Training.
Proceedings of the ACM on Web Conference 2024, 2024

HifiCNet: High-Fidelity Cloud Network Validation Platform at Scale by Hybrid Architecture.
Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024

Toward a QoS-Guaranteed Cloud Through Elastic Resource Scaling and Request Updating.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

2023
Alleviating the Impact of Abnormal Events Through Multi-Constrained VM Placement.
IEEE Trans. Parallel Distributed Syst., May, 2023

A Reliability and Robustness-driven Approach for Optimizing VM Placement in Clouds.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2021
Towards Robust Multi-Tenant Clouds Through Multi-Constrained VM Placement.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021


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