Dynamic Low-Latency Load Balancing Model to Improve Quality of Experience in a Hybrid Fog and Edge Architecture for Massively Multiplayer Online (MMO) Games
In the evolving landscape of online gaming, ensuring a high quality of experience (QoE) for players is paramount. This study introduces a dynamic, low-latency load balancing model designed to enhance QoE in massively multiplayer online (MMO) games through a hybrid fog and edge computing architecture...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/12/6379 |
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| author | Ernesto José García Fernández de Castro Ernesto José García Puche Daladier Jabba Molinares |
| author_facet | Ernesto José García Fernández de Castro Ernesto José García Puche Daladier Jabba Molinares |
| author_sort | Ernesto José García Fernández de Castro |
| collection | DOAJ |
| description | In the evolving landscape of online gaming, ensuring a high quality of experience (QoE) for players is paramount. This study introduces a dynamic, low-latency load balancing model designed to enhance QoE in massively multiplayer online (MMO) games through a hybrid fog and edge computing architecture. The model addresses the challenges of latency and load distribution by leveraging fog and edge resources to optimize player engagement and response times. The experiments conducted in this study were simulations, providing a controlled environment to evaluate the proposed model’s performance. Key findings demonstrate a significant 67.5% reduction in average latency, a 60.3% reduction in peak latency, and a 65.8% reduction in latency variability, ensuring a more consistent and immersive gaming experience. Additionally, the proposed model was benchmarked against a base model, based on the article titled “A Cloud Gaming Architecture Leveraging Fog for Dynamic Load Balancing in Cluster-Based MMOs”, highlighting its superior performance in load distribution and latency reduction. This research provides a framework for future developments in cloud-based gaming infrastructure, emphasizing the importance of innovative load balancing techniques in maintaining seamless gameplay and scalable systems. |
| format | Article |
| id | doaj-art-407bcc4de8084b4293ca54b6a90c84b4 |
| institution | Matheson Library |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-407bcc4de8084b4293ca54b6a90c84b42025-06-25T13:24:26ZengMDPI AGApplied Sciences2076-34172025-06-011512637910.3390/app15126379Dynamic Low-Latency Load Balancing Model to Improve Quality of Experience in a Hybrid Fog and Edge Architecture for Massively Multiplayer Online (MMO) GamesErnesto José García Fernández de Castro0Ernesto José García Puche1Daladier Jabba Molinares2Systems and Computer Engineering Department, Universidad del Norte, Barranquilla 080001, ColombiaPrograma de Ingeniería de Sistemas, Facultad de Ingeniería, Universidad del Magdalena, Santa Marta 470004, ColombiaInternational Resources, Computer Science and Engineering, Vicerrectoría de Investigación Creación e Innovación Universidad del Norte, Barranquilla 080001, ColombiaIn the evolving landscape of online gaming, ensuring a high quality of experience (QoE) for players is paramount. This study introduces a dynamic, low-latency load balancing model designed to enhance QoE in massively multiplayer online (MMO) games through a hybrid fog and edge computing architecture. The model addresses the challenges of latency and load distribution by leveraging fog and edge resources to optimize player engagement and response times. The experiments conducted in this study were simulations, providing a controlled environment to evaluate the proposed model’s performance. Key findings demonstrate a significant 67.5% reduction in average latency, a 60.3% reduction in peak latency, and a 65.8% reduction in latency variability, ensuring a more consistent and immersive gaming experience. Additionally, the proposed model was benchmarked against a base model, based on the article titled “A Cloud Gaming Architecture Leveraging Fog for Dynamic Load Balancing in Cluster-Based MMOs”, highlighting its superior performance in load distribution and latency reduction. This research provides a framework for future developments in cloud-based gaming infrastructure, emphasizing the importance of innovative load balancing techniques in maintaining seamless gameplay and scalable systems.https://www.mdpi.com/2076-3417/15/12/6379IoTvideo gameslatencycloud computingedge computingfog computing |
| spellingShingle | Ernesto José García Fernández de Castro Ernesto José García Puche Daladier Jabba Molinares Dynamic Low-Latency Load Balancing Model to Improve Quality of Experience in a Hybrid Fog and Edge Architecture for Massively Multiplayer Online (MMO) Games Applied Sciences IoT video games latency cloud computing edge computing fog computing |
| title | Dynamic Low-Latency Load Balancing Model to Improve Quality of Experience in a Hybrid Fog and Edge Architecture for Massively Multiplayer Online (MMO) Games |
| title_full | Dynamic Low-Latency Load Balancing Model to Improve Quality of Experience in a Hybrid Fog and Edge Architecture for Massively Multiplayer Online (MMO) Games |
| title_fullStr | Dynamic Low-Latency Load Balancing Model to Improve Quality of Experience in a Hybrid Fog and Edge Architecture for Massively Multiplayer Online (MMO) Games |
| title_full_unstemmed | Dynamic Low-Latency Load Balancing Model to Improve Quality of Experience in a Hybrid Fog and Edge Architecture for Massively Multiplayer Online (MMO) Games |
| title_short | Dynamic Low-Latency Load Balancing Model to Improve Quality of Experience in a Hybrid Fog and Edge Architecture for Massively Multiplayer Online (MMO) Games |
| title_sort | dynamic low latency load balancing model to improve quality of experience in a hybrid fog and edge architecture for massively multiplayer online mmo games |
| topic | IoT video games latency cloud computing edge computing fog computing |
| url | https://www.mdpi.com/2076-3417/15/12/6379 |
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