Spark Performance Optimization Analysis in Memory Tuning On GC Overhead for Big Data Analytics-Reference-Cited by-同舟云学术

Spark Performance Optimization Analysis in Memory Tuning On GC Overhead for Big Data Analytics

Published:2019-12-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 8th International Conference on Networks, Communication and Computing
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Author:

Adinew Deleli Mesay¹,Shijie Zhou¹,Liao Yongjian¹

Affiliation:

1. School of Information and Software engineering, University of Electronic Science and Technology College, Chengedu, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3375998.3376039

Reference12 articles.

1. "Apache Spark™ - Unified Analytics Engine for Big Data " Apache Spark™ Unified Analytics Engine for Big Data. [Online]. Available: https://spark.apache.org/. [Accessed: 25-Feb-2019]. "Apache Spark™ - Unified Analytics Engine for Big Data " Apache Spark™ Unified Analytics Engine for Big Data. [Online]. Available: https://spark.apache.org/. [Accessed: 25-Feb-2019].

2. Performance Analysis and Optimization of Full Garbage Collection in Memory-hungry Environments

3. V. Bande G. Pakle: "CSRS: Customized Service Recommendation System for Big Data Analysis using Map Reduce":2018 V. Bande G. Pakle: "CSRS: Customized Service Recommendation System for Big Data Analysis using Map Reduce":2018

4. S. Choi W. Yang Y. Kee "Early experience with optimizing I/O performance using high-performance SSDs for in-memory cluster computing -2015 IEEE International Conference on Big Data (Big Data) 2015. S. Choi W. Yang Y. Kee "Early experience with optimizing I/O performance using high-performance SSDs for in-memory cluster computing -2015 IEEE International Conference on Big Data (Big Data) 2015.

5. An adaptive memory tuning strategy with high performance for Spark

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