esDNN: Deep Neural Network based Multivariate Workload Prediction in Cloud Computing Environments
出版年份 2022 全文链接
标题
esDNN: Deep Neural Network based Multivariate Workload Prediction in Cloud Computing Environments
作者
关键词
-
出版物
ACM Transactions on Internet Technology
Volume -, Issue -, Pages -
出版商
Association for Computing Machinery (ACM)
发表日期
2022-03-14
DOI
10.1145/3524114
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance
- (2021) Chuang Chen et al. IEEE-CAA Journal of Automatica Sinica
- LSTM based link quality confidence interval boundary prediction for wireless communication in smart grid
- (2020) Wei Sun et al. COMPUTING
- Deep learning and time series-to-image encoding for financial forecasting
- (2020) Silvio Barra et al. IEEE-CAA Journal of Automatica Sinica
- Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment
- (2020) Mingzhe Du et al. IEEE TRANSACTIONS ON COMPUTERS
- Integrated deep learning method for workload and resource prediction in cloud systems
- (2020) Jing Bi et al. NEUROCOMPUTING
- Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds
- (2019) Jing Bi et al. IEEE Transactions on Automation Science and Engineering
- A novel approach to workload prediction using attention-based LSTM encoder-decoder network in cloud environment
- (2019) Yonghua Zhu et al. EURASIP Journal on Wireless Communications and Networking
- Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning
- (2019) Zheyi Chen et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Performance Analysis for Heterogeneous Cloud Servers Using Queueing Theory
- (2019) Shuang Wang et al. IEEE TRANSACTIONS ON COMPUTERS
- An online learning model based on episode mining for workload prediction in cloud
- (2018) Maryam Amiri et al. Future Generation Computer Systems-The International Journal of eScience
- Workload prediction in cloud using artificial neural network and adaptive differential evolution
- (2018) Jitendra Kumar et al. Future Generation Computer Systems-The International Journal of eScience
- An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics
- (2018) Qingchen Zhang et al. IEEE Transactions on Industrial Informatics
- Auto-scaling web applications in clouds: A cost-aware approach
- (2017) Mohammad Sadegh Aslanpour et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- An adaptive prediction approach based on workload pattern discrimination in the cloud
- (2017) Chunhong Liu et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Auto-encoder based dimensionality reduction
- (2016) Yasi Wang et al. NEUROCOMPUTING
- AME-WPC: Advanced model for efficient workload prediction in the cloud
- (2015) Katja Cetinski et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS
- (2015) Rodrigo N. Calheiros et al. IEEE Transactions on Cloud Computing
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now