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. 1808.08040
  4. Cited By
Hybrid Job-driven Scheduling for Virtual MapReduce Clusters
v1v2 (latest)

Hybrid Job-driven Scheduling for Virtual MapReduce Clusters

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

Papers citing "Hybrid Job-driven Scheduling for Virtual MapReduce Clusters"

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
118
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
187
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
299
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
157
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
239
35
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
80
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
507
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
48
8
0
21 Jan 2020
Performance evaluation of job schedulers on Hadoop YARN
Performance evaluation of job schedulers on Hadoop YARN
Jia-Chun Lin
Ming-Chang Lee
101
23
0
24 Aug 2018
1
Page 1 of 1