Bing Wei

Orcid: 0000-0001-7279-3220

Affiliations:
  • Hainan University, Haikou, China


According to our database1, Bing Wei authored at least 23 papers between 2018 and 2025.

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Bibliography

2025
ICCG: low-cost and efficient consistency with adaptive synchronization for metadata replication.
Frontiers Comput. Sci., January, 2025

2024
Erasure-Coded Hybrid Writes Based on Data Delta.
Int. J. Parallel Program., August, 2024

Efficient Erasure-Coded Data Recovery Based on Machine Learning With a Low Level of Storage Overhead.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Efficient erasure-coded multi-data block update methods for heterogeneous storage environments.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

2023
Algorithms for tree-shaped task partition and allocation on heterogeneous multiprocessors.
J. Supercomput., August, 2023

A high-bandwidth and low-cost data processing approach with heterogeneous storage architectures.
Pers. Ubiquitous Comput., April, 2023

Global Virtual Data Space for Unified Data Access Across Supercomputing Centers.
IEEE Trans. Cloud Comput., 2023

2022
A self-tuning client-side metadata prefetching scheme for wide area network file systems.
Sci. China Inf. Sci., 2022

Efficient erasure-coded data updates based on file class predictions and hybrid writes.
Comput. Electr. Eng., 2022

Efficient Erasure-Coded Data Update and Recovery Based on Machine Learning and I/O Mitigation.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021
Fine-grained management of I/O optimizations based on workload characteristics.
Frontiers Comput. Sci., 2021

Adaptive Updates for Erasure-Coded Storage Systems Based on Data Delta and Logging.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

Data Delta Based Hybrid Writes for Erasure-Coded Storage Systems.
Proceedings of the Network and Parallel Computing, 2021

Task Tree Partition and Subtree Allocation for Heterogeneous Multiprocessors.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Erasure-Coded Multi-Block Updates Based on Hybrid Writes and Common XORs First.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021

2019
TACD: A throughput allocation method based on variant of Cobb-Douglas for hybrid storage system.
J. Parallel Distributed Comput., 2019

Dynamic Throughput Allocation among Multiple Servers for Heterogeneous Storage System.
IEICE Trans. Inf. Syst., 2019

I/O Optimizations Based on Workload Characteristics for Parallel File Systems.
Proceedings of the Network and Parallel Computing, 2019

LPMS: A Low-cost Topology-aware Process Mapping Method for Large-scale Parallel Applications on Shared HPC Systems.
Proceedings of the 48th International Conference on Parallel Processing, 2019

A Source Code Analysis Method with Parallel Acceleration for Mining MPI Application Communication Counts.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

DDLB: A Dynamic and Distributed Load Balancing Strategy.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018
A New Adaptive Coding Selection Method for Distributed Storage Systems.
IEEE Access, 2018

A Low Cost Method for Determining the Entire Network Path Bandwidths of Indirect High-Performance Computer Networks.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018


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