Scalable Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach
Published in IEEE Cloud, Hawaii, USA, 2017
Recommended citation: S. Kumar, S. Padakandla, C. L, P. Parihar, G. K and S. Bhatnagar, "Scalable Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach," 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), Honolulu, CA, 2017, pp. 375-382. doi: 10.1109/CLOUD.2017.55 http://ieeexplore.ieee.org/document/8030611/
The paper is about automatic Hadoop tuning using noisy gradient approach, where we explore the possibility of using SPSA to automatically configure the Hadoop and get the best possible outcome for a particular workload.