Cloud-native workflow scheduling using a hybrid priority rule and dynamic task parallelism

Author:

Shin Jungeun1,Arroyo Diana2,Tantawi Asser2,Wang Chen2,Youssef Alaa2,Nagi Rakesh1

Affiliation:

1. University of Illinois at Urbana-Champaign

2. IBM Thomas J. Watson Research Center

Publisher

ACM

Reference18 articles.

1. Adaptive scheduling with parallelism feedback

2. Parallel machine scheduling with fuzzy processing times using a robust genetic algorithm and simulation

3. Angel Beltre , Pankaj Saha , and Madhusudhan Govindaraju . 2019 . Kubesphere: An approach to multi-tenant fair scheduling for kubernetes clusters. In 2019 IEEE Cloud Summit . IEEE , 14--20. Angel Beltre, Pankaj Saha, and Madhusudhan Govindaraju. 2019. Kubesphere: An approach to multi-tenant fair scheduling for kubernetes clusters. In 2019 IEEE Cloud Summit. IEEE, 14--20.

4. Containers and Cloud: From LXC to Docker to Kubernetes

Cited by 2 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. Zero-Shot Cost Models for Parallel Stream Processing;Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management;2023-06-18

2. Effective Local Search for Priority-Constrained Job Scheduling in Cloud;2023

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