Spark Performance Optimization Analysis with Multi-Layer Parameter using Shuffling and Scheduling in Different Data Caching Options
Author:
Affiliation:
1. University of Electronic Science and Technology of China,Department of Software Engineering
2. Dilla University,Department of Computer Science,Ethiopia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9755300/9755317/09755371.pdf?arnumber=9755371
Reference28 articles.
1. Performance evaluation of the IBM POWER8 architecture to support computational neuroscientific application using morphologically detailed neurons
2. Clash of the titans
3. Understanding the behavior of in-memory computing workloads
4. Spark Performance Optimization Analysis in Memory Tuning On GC Overhead for Big Data Analytics
5. Understanding and improving disk-based intermediate data caching in Spark
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