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ORCIDMustafa Daraghmeh
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2020 – today
- 2024
[j6]Mustafa Daraghmeh, Anjali Agarwal, Yaser Jararweh:
An ensemble clustering approach for modeling hidden categorization perspectives for cloud workloads. Clust. Comput. 27(4): 4779-4803 (2024)- [j5]Mustafa Daraghmeh
, Anjali Agarwal, Yaser Jararweh:
Optimizing serverless computing: A comparative analysis of multi-output regression models for predictive function invocations. Simul. Model. Pract. Theory 134: 102925 (2024) - [c15]Mustafa Daraghmeh, Yaser Jararweh, Anjali Agarwal:
Leveraging RF Signal Transformation and Sigmoid Calibration for Optimized Drone Class Prediction. FMEC 2024: 170-175 - [c14]Mohammad Jararweh, Mustafa Daraghmeh, Mostafa Z. Ali:
Exploiting Machine Learning for Osteoporosis Risk Prediction and Early Intervention. MCNA 2024: 42-49 - 2023
- [c13]Mustafa Daraghmeh, Anjali Agarwal, Yaser Jararweh:
A Multilevel Learning Model for Predicting CPU Utilization in Cloud Data Centers. DASC/PiCom/CBDCom/CyberSciTech 2023: 1016-1023 - [c12]Mustafa Daraghmeh, Anjali Agarwal, Yaser Jararweh:
Leveraging Imbalance and Ensemble Learning Methods for Improved Load Prediction in Cloud Computing Systems. GLOBECOM 2023: 1687-1692 - [c11]Mustafa Daraghmeh, Anjali Agarwal, Yaser Jararweh:
Incorporating Data Preparation and Clustering Techniques for Workload Segmentation in Large-Scale Cloud Data Centers. IDSTA 2023: 7-14 - [c10]Mustafa Daraghmeh, Anjali Agarwal, Yaser Jararweh:
Ensemble Learning for Predicting Task Connectivity Over Time in Cloud Data Centers. INFOCOM Workshops 2023: 1-6 - [c9]Mustafa Daraghmeh, Anjali Agarwal, Yaser Jararweh:
Regression-Based Approach for Proactive Predictive Modeling of Efficient Cloud Cost Estimation. SDS 2023: 65-72 - [c8]Mustafa Daraghmeh, Anjali Agarwal, Yaser Jararweh:
Cloud Workload Categorization Using Various Data Preprocessing and Clustering Techniques. UCC 2023: 7 - 2021
- [c7]Mustafa Daraghmeh, Anjali Agarwal, Ricardo Manzano, Marzia Zaman:
Time Series Forecasting using Facebook Prophet for Cloud Resource Management. ICC Workshops 2021: 1-6 - 2020
- [j4]Fadi Alzhouri, Suhib Bani Melhem, Anjali Agarwal, Mustafa Daraghmeh, Yan Liu, Sadeq Younis:
Dynamic Resource Management for Cloud Spot Markets. IEEE Access 8: 122838-122847 (2020)
2010 – 2019
- 2019
- [c6]Mustafa Daraghmeh, Ismaeel Al Ridhawi, Moayad Aloqaily, Yaser Jararweh, Anjali Agarwal:
A Power Management Approach to Reduce Energy Consumption for Edge Computing Servers. FMEC 2019: 259-264 - [c5]Mustafa Daraghmeh, Anjali Agarwal, Nishith Goel, Jim Kozlowski:
Local Regression Based Box-Cox Transformations for Resource Management in Cloud Networks. SDS 2019: 229-235 - 2018
- [j3]Yaser Jararweh, Manar Bani Issa, Mustafa Daraghmeh, Mahmoud Al-Ayyoub, Mohammad A. Alsmirat:
Energy efficient dynamic resource management in cloud computing based on logistic regression model and median absolute deviation. Sustain. Comput. Informatics Syst. 19: 262-274 (2018) - [c4]Mustafa Daraghmeh, Suhib Bani Melhem, Anjali Agarwal, Nishith Goel, Marzia Zaman:
Regression-Based Dynamic Provisioning and Monitoring for Responsive Resources in Cloud Infrastructure Networks. AICCSA 2018: 1-7 - [c3]Mustafa Daraghmeh, Suhib Bani Melhem, Anjali Agarwal, Nishith Goel, Marzia Zaman:
Linear and Logistic Regression Based Monitoring for Resource Management in Cloud Networks. FiCloud 2018: 259-266 - 2017
- [c2]Manar Bani Issa, Mustafa Daraghmeh, Yaser Jararweh, Mahmoud Al-Ayyoub, Mohammad A. Alsmirat, Elhadj Benkhelifa:
Using Logistic Regression to Improve Virtual Machines Management in Cloud Computing Systems. MASS 2017: 628-635 - [c1]Suhib Bani Melhem, Anjali Agarwal, Mustafa Daraghmeh, Nishith Goel, Marzia Zaman:
Live VM Migration Across Cloud Data Centers. MASS 2017: 654-659 - 2016
- [j2]Mahmoud Al-Ayyoub, Mustafa Daraghmeh, Yaser Jararweh, Qutaibah Althebyan:
Towards improving resource management in cloud systems using a multi-agent framework. Int. J. Cloud Comput. 5(1/2): 112-133 (2016) - 2015
- [j1]Mahmoud Al-Ayyoub, Yaser Jararweh, Mustafa Daraghmeh, Qutaibah Althebyan:
Multi-agent based dynamic resource provisioning and monitoring for cloud computing systems infrastructure. Clust. Comput. 18(2): 919-932 (2015)
Coauthor Index
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