Auto-tuning with reinforcement learning for permissioned blockchain systems

M Li, Y Wang, S Ma, C Liu, D Huo, Y Wang… - Proceedings of the VLDB …, 2023 - dl.acm.org
In a permissioned blockchain, performance dictates its development, which is substantially
influenced by its parameters. However, research on auto-tuning for better performance has …

Magpie: Automatically tuning static parameters for distributed file systems using deep reinforcement learning

H Zhu, D Scheinert, L Thamsen… - … Conference on Cloud …, 2022 - ieeexplore.ieee.org
Distributed file systems are widely used nowadays, yet using their default configurations is
often not optimal. At the same time, tuning configuration parameters is typically challenging …

ADSTS: Automatic distributed storage tuning system using deep reinforcement learning

K Lu, G Li, J Wan, R Ma, W Zhao - Proceedings of the 51st International …, 2022 - dl.acm.org
Modern distributed storage systems with the immense number of configurations,
unpredictable workloads and difficult performance evaluation pose higher requirements to …

Towards Better Dependency Scope Settings in Maven Projects

H Yang, L Chen, Y Cao, Y Li, Y Zhou - Proceedings of the 14th Asia …, 2023 - dl.acm.org
The emergence of build automation tools with dependency management features has
significantly impacted software development. However, in the configuration process …

FIK: Find Important Knobs for Permessioned Blockchain Hyperledger Fabric

M Li, N Li, Y Wang, Z Li, D Huo - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
Permissioned blockchain technology has a significant impact on many industries due to its
security and scalability, which has many configurable knobs to control all aspects of it. Too …

Performance research and prospect exploration of distributed object storage of meteorological data in domestic platform

K Cheng - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Meteorological data are important information data in China, and have made tremendous
contributions to disaster prevention and disaster reduction in China. However, the current …