DAG-Aware Joint Task Scheduling and Cache Management in Spark Clusters
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9136850/9139768/09139887.pdf?arnumber=9139887
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. DAG-aware harmonizing job scheduling and data caching for disaggregated analytics frameworks;Future Generation Computer Systems;2024-07
2. Blaze: Holistic Caching for Iterative Data Processing;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22
3. Spark Checkpoint Fault Tolerance Strategy Based on Hybrid Storage;2023 2nd International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP);2023-10-27
4. Cost-Aware Scheduling and Data Skew Alleviation for Big Data Processing in Heterogeneous Cloud Environment;Journal of Grid Computing;2023-06-22
5. DeGTeC: A deep graph-temporal clustering framework for data-parallel job characterization in data centers;Future Generation Computer Systems;2023-04
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