Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions

9 May 2021

Rajkumar Buyya

Papers citing "Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions"

25 / 25 papers shown

Title
Extreme learning machines for variance-based global sensitivity analysis John E. Darges A. Alexanderian P. Gremaud 44 2 0 14 Jan 2022
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 99 103 0 11 Jan 2021
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning Shashikant Ilager K. Ramamohanarao Rajkumar Buyya 22 64 0 07 Nov 2020
Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems Shashikant Ilager R. Muralidhar Rajkumar Buyya GNN 17 21 0 09 Jun 2020
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints Marek Śmieja Lukasz Struski Mário A. T. Figueiredo 37 37 0 18 Jan 2020
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 76 889 0 02 Sep 2019
A Survey of Optimization Methods from a Machine Learning Perspective Shiliang Sun Zehui Cao Han Zhu Jing Zhao 49 557 0 17 Jun 2019
Reducing Artificial Neural Network Complexity: A Case Study on Exoplanet Detection S. Koning Caspar Greeven E. Postma 3DPC 35 6 0 27 Feb 2019
Modeling Conceptual Characteristics of Virtual Machines for CPU Utilization Prediction Shengwei Chen Yanyan Shen Yanmin Zhu 17 5 0 01 Nov 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 76 646 0 03 Oct 2018
Temporal Pattern Attention for Multivariate Time Series Forecasting Shun-Yao Shih Fan-Keng Sun Hung-yi Lee AI4TS 71 717 0 12 Sep 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 86 4,806 0 04 Mar 2018
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade Rajkumar Buyya Satish Narayana G. Casale R. Calheiros Yogesh L. Simmhan ... Wanlei Zhou Hai Jin W. Gentzsch Albert Y. Zomaya Haiying Shen AI4TS AILaw 53 139 0 24 Nov 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art J. Janai Fatma Guney Aseem Behl Andreas Geiger 85 794 0 18 Apr 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 106 2,005 0 21 Mar 2017
Conditional Time Series Forecasting with Convolutional Neural Networks Anastasia Borovykh S. Bohté C. Oosterlee AI4TS 47 474 0 14 Mar 2017
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 401 7,391 0 12 Sep 2016
A Survey on Load Balancing Algorithms for VM Placement in Cloud Computing Minxian Xu Wenhong Tian Rajkumar Buyya 41 199 0 21 Jul 2016
Machine Learning and Cloud Computing: Survey of Distributed and SaaS Solutions Daniel Pop 24 63 0 29 Mar 2016
Multichannel Variable-Size Convolution for Sentence Classification Wenpeng Yin Hinrich Schütze 55 156 0 15 Mar 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 790 38,735 0 09 Mar 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 621 13,422 0 25 Aug 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,344 0 03 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,933 0 20 Dec 2013
Multi-column Deep Neural Networks for Image Classification D. Ciresan U. Meier Jürgen Schmidhuber 162 3,939 0 13 Feb 2012