SERVICE MECHANISM FOR CLOUD PROFIT OPTIMIZATION

In this study, we design a system to help both cloud providers and users optimize their profits.Game theory, a decision-making approach in which each player (in this case, the cloud provider and users) makeschoices that have an impact on one another, is how we approach the issue. We use a Stackelberg game model tosimulate the decision-making interaction, where the cloud provider takes the lead and affects the users' responsestrategies.The objective of the cloud provider is to choose servers and distribute requests in a way that minimizes energyconsumption while still satisfying user demands. Consumers aim to reduce waiting times and increase profits. Tofind the best strategies for both parties, we develop an algorithm and validate its performance with numericalexamples.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-18
DOI
https://doi.org/10.5281/zenodo.15686905
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

SERVICE MECHANISM FOR CLOUD PROFIT OPTIMIZATION

Zenodo (CERN European Organization for Nuclear Research)
Cloud Computing and Resource Management
article

SERVICE MECHANISM FOR CLOUD PROFIT OPTIMIZATION

article en

Abstract

In this study, we design a system to help both cloud providers and users optimize their profits.Game theory, a decision-making approach in which each player (in this case, the cloud provider and users) makeschoices that have an impact on one another, is how we approach the issue. We use a Stackelberg game model tosimulate the decision-making interaction, where the cloud provider takes the lead and affects the users' responsestrategies.The objective of the cloud provider is to choose servers and distribute requests in a way that minimizes energyconsumption while still satisfying user demands. Consumers aim to reduce waiting times and increase profits. Tofind the best strategies for both parties, we develop an algorithm and validate its performance with numericalexamples.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 45%
Cloud Computing and Resource Management
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