Applying Machine Learning in Cloud Service Price Prediction: The Case of Amazon IaaS

Applying Machine Learning in Cloud Service Price Prediction: The Case of Amazon IaaS

When exploring alternative cloud solution designs, it is important to also consider cost. Thus, having a comprehensive view of the cloud market and future price evolution allows well-informed decisions to choose between alternatives. Cloud providers offer various service types with different pricing...

Full description

Bibliographic Details
Main Authors:	George Fragiadakis, Evangelia Filiopoulou, Christos Michalakelis, Thomas Kamalakis, Mara Nikolaidou
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Series:	Future Internet
Subjects:	cloud Amazon EC2 reserved instances price prediction machine learning CatBoost
Online Access:	https://www.mdpi.com/1999-5903/15/8/277

Similar Items

Pricing and Profit Management Models for SaaS Providers and IaaS Providers
by: In Lee
Published: (2021-02-01)

A Hybrid Prediction Model for CatBoost Tomato Transpiration Rate Based on Feature Extraction
by: Zhaoyang Tong, et al.
Published: (2023-09-01)

Solar Radiation Forecasting Based on the Hybrid CNN-CatBoost Model
by: Hyojeoung Kim, et al.
Published: (2023-01-01)

Prediction of Briquette Deformation Energy via Ensemble Learning Algorithms Using Physico-Mechanical Parameters
by: Onder Kabas, et al.
Published: (2024-01-01)

Boosting ensembles for estimation of discharge coefficient and through flow discharge in broad-crested gabion weirs
by: Aliasghar Azma, et al.
Published: (2022-12-01)

Pricing cloud IaaS computing services
by: Nicola Dimitri
Published: (2020-03-01)

Constructing Reliable Computing Environments on Top of Amazon EC2 Spot Instances
by: Altino M. Sampaio, et al.
Published: (2020-07-01)

Employing a Machine Learning Boosting Classifiers Based Stacking Ensemble Model for Detecting Non Technical Losses in Smart Grids
by: Pamir, et al.
Published: (2022-01-01)

Regression model-based hourly aggregated electricity demand prediction
by: Radharani Panigrahi, et al.
Published: (2022-12-01)

Optimizing Faulting Prediction for Rigid Pavements Using a Hybrid SHAP-TPE-CatBoost Model
by: Wei Xiao, et al.
Published: (2023-11-01)

SOH estimation and RUL prediction of lithium batteries based on multidomain feature fusion and CatBoost model
by: Mei Zhang, et al.
Published: (2023-09-01)

Islanding detection method for microgrids based on CatBoost
by: Ran Chen, et al.
Published: (2023-01-01)

Fault diagnosis of the HVDC system based on the CatBoost algorithm using knowledge graphs
by: Jiyang Wu, et al.
Published: (2023-03-01)

FAMD: A Fast Multifeature Android Malware Detection Framework, Design, and Implementation
by: Hongpeng Bai, et al.
Published: (2020-01-01)

A Review of Modern Machine Learning Techniques in the Prediction of Remaining Useful Life of Lithium-Ion Batteries
by: Prabhakar Sharma, et al.
Published: (2022-12-01)

An ensemble learning approach for diabetes prediction using boosting techniques
by: Shahid Mohammad Ganie, et al.
Published: (2023-10-01)

Early Detection of Stroke for Ensuring Health and Well-Being Based on Categorical Gradient Boosting Machine
by: Isaac Kofi Nti, et al.
Published: (2023-01-01)

GA-CatBoost-Weight Algorithm for Predicting Casualties in Terrorist Attacks: Addressing Data Imbalance and Enhancing Performance
by: Yuxiang He, et al.
Published: (2024-03-01)

Prediction of Leaf Break Resistance of Green and Dry Alfalfa Leaves by Machine Learning Methods
by: Uğur Ercan, et al.
Published: (2024-02-01)

Health Factor Extraction of Lithium-Ion Batteries Based on Discrete Wavelet Transform and SOH Prediction Based on CatBoost
by: Mei Zhang, et al.
Published: (2022-07-01)

An Improved Diagnostic of the <i>Mycobacterium tuberculosis</i> Drug Resistance Status by Applying a Decision Tree to Probabilities Assigned by the CatBoost Multiclassifier of Matrix Metalloproteinases Biomarkers
by: Anastasia I. Lavrova, et al.
Published: (2022-11-01)

Comparison of Multiple Machine Learning Models for Estimating the Forest Growing Stock in Large-Scale Forests Using Multi-Source Data
by: Huajian Huang, et al.
Published: (2022-09-01)

Multi-dimensional data-based medium- and long-term power-load forecasting using double-layer CatBoost
by: Wen Xiang, et al.
Published: (2022-11-01)

Predicting South Korean adolescents vulnerable to obesity after the COVID-19 pandemic using categorical boosting and shapley additive explanation values: A population-based cross-sectional survey
by: Haewon Byeon, et al.
Published: (2022-09-01)

A comparative analysis of boosting algorithms for chronic liver disease prediction
by: Shahid Mohammad Ganie, et al.
Published: (2024-06-01)

A machine learning model pipeline for detecting wet pavement condition from live scenes of traffic cameras
by: Clint Morris, et al.
Published: (2021-09-01)

Airborne data and machine learning for urban tree species mapping: Enhancing the legend design to improve the map applicability for city greenery management
by: Jan Niedzielko, et al.
Published: (2024-04-01)

ReMAHA–CatBoost: Addressing Imbalanced Data in Traffic Accident Prediction Tasks
by: Guolian Li, et al.
Published: (2023-12-01)

Building gender-specific sexually transmitted infection risk prediction models using CatBoost algorithm and NHANES data
by: Mengjie Hu, et al.
Published: (2024-01-01)

Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering
by: Hassan Gashmard, et al.
Published: (2024-02-01)

Digital marketing program design based on abnormal consumer behavior data classification and improved homomorphic encryption algorithm
by: Jun Cui, et al.
Published: (2023-11-01)

Estimating the Pan Evaporation in Northwest China by Coupling CatBoost with Bat Algorithm
by: Liming Dong, et al.
Published: (2021-01-01)

Prediction of Critical Filling of a Storage Area Network by Machine Learning Methods
by: Igor S. Masich, et al.
Published: (2022-12-01)

Comparative Analysis of Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping: A Case Study in Rize, Turkey
by: Ayse Yavuz Ozalp, et al.
Published: (2023-07-01)

Energy Consumption Estimation for Electric Buses Based on a Physical and Data-Driven Fusion Model
by: Xiaoyu Li, et al.
Published: (2022-06-01)

An Improved CatBoost-Based Classification Model for Ecological Suitability of Blueberries
by: Wenfeng Chang, et al.
Published: (2023-02-01)

Developing a nomogram for predicting depression in diabetic patients after COVID-19 using machine learning
by: Haewon Byeon, et al.
Published: (2023-07-01)

Towards Designing Durable Sculptural Elements: Ensemble Learning in Predicting Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete
by: Ranran Wang, et al.
Published: (2024-02-01)

A machine learning-based assessment model for defect diagnosis in XLPE power cables
by: S. Ida Evangeline, et al.
Published: (2024-06-01)

Refined Landslide Susceptibility Mapping by Integrating the SHAP-CatBoost Model and InSAR Observations: A Case Study of Lishui, Southern China
by: Zhaowei Yao, et al.
Published: (2023-11-01)