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Hybrid Job-driven Scheduling for Virtual MapReduce Clusters
24 August 2018
Ming-Chang Lee
Jia-Chun Lin
R. Yahyapour
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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
Transportation 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
Annual 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?
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
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
Annual 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
International 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
International 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
Internet 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
Jia-Chun Lin
Ming-Chang Lee
101
23
0
24 Aug 2018
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