Design and realization of hybrid resource management system for heterogeneous cluster-Reference-Cited by-同舟云学术

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Design and realization of hybrid resource management system for heterogeneous cluster

Published:2024-02-22 Issue:5 Volume:27 Page:6119-6144
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

He Qinlu,Zhang Fan,Bian Genqing,Zhang Weiqi,Li Zhen

Funder

Industrial field of general projects of science and Technology Department of Shaanxi Province

Industrialization Project of Shaanxi Provincial Department of Education

Key research and development projects in Xianyang City

Natural Science Foundation of Shannxi Province

National Natural Science Foundation of China

National Key R&D Program Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10586-024-04267-z.pdf

Reference31 articles.

1. http://www.gov.cn/xinwen/2020-09/29/5548176/files/1c6b4a2ae06c4ffc8bccb49da353495e.pdf, 2020-09-29.

2. https://www.seagate.com/cn/zh/our-story/data-age-2025/.

3. Dean, J., Ghemawat, S., MapReduce: Simplified data processing on large clusters. In Proceedings of the 6th Conference on Symposium on Opearting Systems De-sign & Implementation-Volume 6 (2004), OSDI’04, USENIX Association, pp.10–10.

4. Apache Hadoop Project. http://hadoop.apache.org/.

5. Zaharia, M., Das, T., Li, H., Shenker, S., Stoica, I.: Discretized streams: Fault-tolerant streaming computation at scale. In Proceedings of the 24th ACM Symposium on Operating Systems Principles. ACM, 2023.

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