Dynamic Configuration of Partitioning in Spark Applications-Reference-Cited by-同舟云学术

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Dynamic Configuration of Partitioning in Spark Applications

Published:2017-07-01 Issue:7 Volume:28 Page:1891-1904
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Gounaris Anastasios,Kougka Georgia,Tous Ruben,Montes Carlos Tripiana,Torres Jordi

Funder

Spanish Ministry of Economy and Competitivity

SGR programme

Catalan Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/7946232/07807262.pdf?arnumber=7807262

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing the Performance of Deep Learning Model Based Object Detection using Parallel Processing (Work In Progress Paper);Companion of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

2. Enhancing Task Management in Apache Spark Through Energy-Efficient Data Segregation and Time-Based Scheduling;IEEE Access;2024

3. Dynamic Data Partitioning in the WAFL File System;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25

4. Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

5. Towards General and Efficient Online Tuning for Spark;Proceedings of the VLDB Endowment;2023-08

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