Performance Prediction of Spark Based on the Multiple Linear Regression Analysis-Reference-Cited by-同舟云学术

Performance Prediction of Spark Based on the Multiple Linear Regression Analysis

Published:2017 Issue: Volume: Page:70-81
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Dong Lu,Li Peng,Xu He,Luo Baozhou,Mi Yu

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6442-5_7

Reference16 articles.

1. Mesbahi, M.R., Hashemi, M., Rahmani, A.M.: Performance evaluation and analysis of load balancing algorithms in cloud computing environments. In: Second International Conference on Web Research, pp. 145–151. IEEE (2016)

2. Li, M., Tan, J., Wang, Y., et al.: SparkBench: a comprehensive benchmarking suite for in memory data analytic platform Spark. In: ACM International Conference on Computing Frontiers, pp. 1–8. ACM (2015)

3. Mershad, K., Artail, H., Saghir, M., et al.: A mathematical model to analyze the utilization of a cloud datacenter middleware. J. Netw. Comput. Appl. 59(3), 399–415 (2014)

4. Gu, L., Li, H.: Memory or time: performance evaluation for iterative operation on Hadoop and Spark. In: IEEE International Conference on High Performance Computing and Communications and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, pp. 721–727. (2013)

5. Villalpando, L.E.B., April, A., Abran, A.: Methodology to determine relationships between performance factors in hadoop cloud computing applications. In: International Conference on Cloud Computing and Services Sciences, pp. 375–386. (2014)

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