Two-stage scheduling for a fluctuant big data stream on heterogeneous servers with multicores in a data center-Reference-Cited by-同舟云学术

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Two-stage scheduling for a fluctuant big data stream on heterogeneous servers with multicores in a data center

Published:2023-05-31 Issue: Volume: Page:
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Wang Shun,Zeng Guo-sun

Funder

National Key R&D Program of China

National Natural Science Foundation of China

National Social Science Foundation of China

Subproject of National Seafloor Observatory System of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

https://link.springer.com/content/pdf/10.1007/s10586-023-04044-4.pdf

Reference34 articles.

1. Guo, J., Chang, Z.H., Wang, S., et al.: Who limits the resource efficiency of my datacenter: an analysis of Alibaba datacenter traces. In: The International Symposium, pp. 1–10 (2019)

2. He, K., Meng, X., Pan, Z., et al.: A novel task-duplication based clustering algorithm for heterogeneous computing environments. IEEE Trans. Parallel Distrib. Syst. 30(1), 2–14 (2019)

3. Gao, G., Xiao, M., Wu, J., et al.: Opportunistic mobile data offloading with deadline constraints. IEEE Trans. Parallel Distrib. Syst. 28(12), 3584–3599 (2017)

4. Barika, M., Garg, S., Chan, A., et al.: Scheduling algorithms for efficient execution of stream workflow applications in multicloud environments. IEEE Trans. Serv. Comput. 15(2), 860–875 (2022)

5. Zhang, H., Geng, X., Ma, H.: Learning-driven interference-aware workload parallelization for streaming applications in heterogeneous cluster. IEEE Trans. Parallel Distrib. Syst. 32(1), 1–15 (2021)

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