Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters

Author:

Bader Jonathan,Thamsen Lauritz,Kulagina Svetlana,Will Jonathan,Meyerhenke Henning,Kao Odej

Funder

Deutsche Forschungsgemeinschaft

Publisher

IEEE

Cited by 14 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. Survey on Resource Management Solutions to Speed up Processing Small Files in Hadoop Cluster;International Journal of Scientific Research in Science, Engineering and Technology;2023-11-05

2. Adaptive resource allocation for workflow containerization on Kubernetes;Journal of Systems Engineering and Electronics;2023-06

3. A mathematical programming approach for resource allocation of data analysis workflows on heterogeneous clusters;The Journal of Supercomputing;2023-05-23

4. How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface;2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid);2023-05

5. Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

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