Improving Data Locality of Tasks by Executor Allocation in Spark Computing Environment.
IEEE Trans. Cloud Comput., 2024
An Enhanced U-Network by Combining PPM and CBAM for Medical Image Segmentation.
IEEE Access, 2024
Optimizing data locality by executor allocation in spark computing environment.
Comput. Sci. Inf. Syst., 2023
PCU-Net: An enhanced U-network by combining PPM and CBAM for Medical Image Segmentation.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
IncGraph: An Improved Distributed Incremental Graph Computing Model and Framework Based on Spark GraphX.
IEEE Trans. Knowl. Data Eng., 2022
Optimizing Speculative Execution in Spark Heterogeneous Environments.
IEEE Trans. Cloud Comput., 2022
Cross-domain Resemblance Detection based on Meta-learning for Cloud Storage.
Proceedings of the IEEE International Performance, 2022
Optimizing Data Locality by Executor Allocation in Reduce Stage for Spark Framework.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021
An Optimal Locality-Aware Task Scheduling Algorithm Based on Bipartite Graph Modelling for Spark Applications.
IEEE Trans. Parallel Distributed Syst., 2020
ImRP: A Predictive Partition Method for Data Skew Alleviation in Spark Streaming Environment.
Parallel Comput., 2020
i2Graph: An Incremental Iterative Computation Model for Large Scale Dynamic Graphs.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
A Parallel Conditional Random Fields Model Based on Spark Computing Environment.
J. Grid Comput., 2017