ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.08289
  4. Cited By
Performance evaluation of job schedulers on Hadoop YARN
v1v2 (latest)

Performance evaluation of job schedulers on Hadoop YARN

24 August 2018
Jia-Chun Lin
Ming-Chang Lee
ArXiv (abs)PDFHTML

Papers citing "Performance evaluation of job schedulers on Hadoop YARN"

9 / 9 papers shown
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for
  Growing Transportation Networks
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation NetworksTransportation Research Record (TRR), 2021
Ming-Chang Lee
Jia-Chun Lin
Ernst Gunnar Gran
AI4TS
138
0
0
19 May 2021
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time
  Recurrent Time Series
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time SeriesAnnual International Computer Software and Applications Conference (COMPSAC), 2021
Ming-Chang Lee
Jia-Chun Lin
Ernst Gunnar Gran
AI4TS
216
17
0
19 Apr 2021
How Far Should We Look Back to Achieve Effective Real-Time Time-Series
  Anomaly Detection?
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?International Conference on Advanced Information Networking and Applications (AINA), 2021
Ming-Chang Lee
Jia-Chun Lin
Ernst Gunnar Gran
AI4TS
357
15
0
12 Feb 2021
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale
  Transportation Networks based on Automatic LSTM Customization and Sharing
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing
Ming-Chang Lee
Jia-Chun Lin
Ernst Gunnar Gran
AI4TS
194
4
0
10 May 2020
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for
  Time Series
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time SeriesAnnual International Computer Software and Applications Conference (COMPSAC), 2020
Ming-Chang Lee
Jia-Chun Lin
Ernst Gunnar Gran
AI4TS
293
36
0
05 Apr 2020
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic
  Speed Prediction
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed PredictionInternational Conference on Advanced Information Networking and Applications (AINA), 2020
Ming-Chang Lee
Jia-Chun Lin
AI4TS
123
6
0
24 Jan 2020
RePAD: Real-time Proactive Anomaly Detection for Time Series
RePAD: Real-time Proactive Anomaly Detection for Time SeriesInternational Conference on Advanced Information Networking and Applications (AINA), 2020
Ming-Chang Lee
Jia-Chun Lin
Ernst Gunnar Gran
AI4TS
581
28
0
24 Jan 2020
PDS: Deduce Elder Privacy from Smart Homes
PDS: Deduce Elder Privacy from Smart HomesInternet of Things (IoT), 2019
Ming-Chang Lee
Jia-Chun Lin
Olaf Owe
65
8
0
21 Jan 2020
Scalable System Scheduling for HPC and Big Data
Scalable System Scheduling for HPC and Big Data
Albert Reuther
Chansup Byun
William Arcand
David Bestor
Bill Bergeron
...
Michael Jones
Peter Michaleas
Andrew Prout
Antonio Rosa
J. Kepner
170
108
0
08 May 2017
1
Page 1 of 1