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