Performance evaluation of job schedulers on Hadoop YARN-Reference-Cited by-同舟云学术

Performance evaluation of job schedulers on Hadoop YARN

Published:2016-02-23 Issue:9 Volume:28 Page:2711-2728
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Lin Jia-Chun¹,Lee Ming-Chang¹

Affiliation:

1. Department of Informatics; University of Oslo; Oslo Norway

Funder

Ministry of Science and Technology, Taiwan

German Academic Exchange Service New Delhi

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.3736/fullpdf

Reference31 articles.

1. Hadoop http://hadoop.apache.org 2015

2. Hadoop Wiki http://wiki.apache.org/hadoop/PoweredBy 2015

3. Vavilapalli VK et al. 2013 Apache Hadoop Yarn: Yet Another Resource Negotiator Proceedings of the 4th ACM annual Symposium on Cloud Computing

4. MapReduce: simplified data processing on large clusters;Dean;Communications of the ACM,2008

5. Zaharia M et al. 2012 Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing Proceedings of the 9th USENIX Conference on Networked Systems Design and Implementation

Cited by 16 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. SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series;2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC);2021-07

2. SMOSA: Spider monkey optimization‐based scheduling algorithm for heterogeneous Hadoop;Concurrency and Computation: Practice and Experience;2021-05-11

3. DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks;Transportation Research Record: Journal of the Transportation Research Board;2021-05-10

4. How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?;Advanced Information Networking and Applications;2021

5. ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series;2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC);2020-07