Blink: Lightweight Sample Runs for Cost Optimization of Big Data Applications-Reference-Cited by-同舟云学术

Blink: Lightweight Sample Runs for Cost Optimization of Big Data Applications

Published:2022 Issue: Volume: Page:144-154
ISSN:1865-0929
Container-title:New Trends in Database and Information Systems
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Author:

Al-Sayeh Hani^ORCID,Jibril Muhammad Attahir^ORCID,Memishi Bunjamin^ORCID,Sattler Kai-Uwe^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-15743-1_14

Reference18 articles.

1. Al-Sayeh, H., Jibril, M.A., Bin Saeed, M.W., Sattler, K.U.: SparkCAD: caching anomalies detector for spark applications. In: VLDB 2022 (2022)

2. Al-Sayeh, H., Jibril, M.A., Memishi, B., Sattler, K.U.: Blink: lightweight sample runs for cost optimization of big data applications. In: CoRR (2022). https://arxiv.org/abs/2207.02290

3. Al-Sayeh, H., Memishi, B., Jibril, M.A., Paradies, M., Sattler, K.U.: Juggler: autonomous cost optimization and performance prediction of big data applications. In: ACM SIGMOD 2022 (2022)

4. Al-Sayeh, H., Memishi, B., Paradies, M., Sattler, K.U.: Masha: sampling-based performance prediction of big data applications in resource-constrained clusters. In: VLDB DISPA 2020 (2020)

5. Alipourfard, O., Liu, H.H., Chen, J., Venkataraman, S., Yu, M., Zhang, M.: CherryPick: adaptively unearthing the best cloud configurations for big data analytics. In: USENIX NSDI 2017 (2017)

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