Pricing the Cloud: A QoS-based Optimal Design

Cloud computing has a major impact on the IT industry. How to price and allocate cloud resources to meet users’ requirements is an important problem. This paper proposes a dynamic mechanism to pricing cloud services, which can work in complex environments such as distributed system and uncertain budget constraints. A direct relationship between QoS and price is established. The approach uses an optimization technique to estimate the potential transaction price in the distributed network. It can allocate cloud resources under uncertainties, where providers can optimize their revenues, and consumers can obtain the resources at a relatively low price.

Authors

Publication Details

Journal
Journal of AI Analytics and Applications
Published
2025-04-24
DOI
https://doi.org/10.63646/vbhs9335
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Pricing the Cloud: A QoS-based Optimal Design

Jiacheng Dong, Yang Lu
Journal of AI Analytics and Applications
Cloud Computing and Resource Management
article

Pricing the Cloud: A QoS-based Optimal Design

Jiacheng Dong, Yang Lu
article en

Abstract

Cloud computing has a major impact on the IT industry. How to price and allocate cloud resources to meet users’ requirements is an important problem. This paper proposes a dynamic mechanism to pricing cloud services, which can work in complex environments such as distributed system and uncertain budget constraints. A direct relationship between QoS and price is established. The approach uses an optimization technique to estimate the potential transaction price in the distributed network. It can allocate cloud resources under uncertainties, where providers can optimize their revenues, and consumers can obtain the resources at a relatively low price.

Journal of AI Analytics and ApplicationsVol. 1(2)
Openalex Percentile: Top 89%
Cloud Computing and Resource Management
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Pricing the Cloud: A QoS-based Optimal Design — Jiacheng Dong, Yang Lu · Journal of AI Analytics and Applications (2025) | TGRS Research Map | TGRS