A Task-Aware Fine-Grained Storage Selection Mechanism for In-Memory Big Data Computing Frameworks

Author:

Wang Bo,Tang JieORCID,Zhang Rui,Liu Jialei,Liu Shaoshan,Qi Deyu

Funder

South China University of Technology Start-up

Guangzhou Technology

The New Generation of Artificial Intelligence In Guangdong

Doctoral Startup Program of Guangdong Natural Science Foundation

National Natural Science Foundation of China

The Key Science and Technology Program of Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Reference35 articles.

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3. Zhang, H., Chen, G., Ooi, B.C., et al.: In-memory big data management and processing: a survey. IEEE Trans. Knowl. Data Eng. 27, 1920–1948 (2015). https://doi.org/10.1109/TKDE.2015.2427795

4. Zaharia, M., Chowdhury, M., Das, T., et al.: Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing. In: Proceedings of the 9th USENIX Conference on Networked Systems Design and Implementation. USENIX Association, San Jose, CA, p. 2 (2012)

5. Yu, Y., Wang, W., Zhang, J., et al.: LRC: dependency-aware cache management for data analytics clusters. In: Proceedings of INFOCOM, Atlanta, GA, USA, pp. 1–9 (2017)

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