Abstract
The increasing complexity of game development necessitates robust and scalable data management solutions. Google Spanner, with its globally distributed architecture, offers a powerful database system capable of supporting large-scale gaming applications. However, the intricacies of managing such a system can be daunting, particularly for game developers who may lack in-depth database expertise. To address these challenges, this work introduces a Google Spanner management application specifically tailored for the game development industry. The application integrates seamlessly with Google Cloud Platform, leveraging Google account verification to enhance both security and account management. In addition to its core functionality, the application provides an intuitive, visually appealing table browsing interface, making data management more accessible to non-technical roles, such as game designers. Early testing demonstrates substantial improvement in database performance and a significant reduction in administrative overhead, underscoring the application’s potential to streamline operations and drive efficiency within the gaming industry. Performance evaluations also reveal that the application offers an average query latency reduction of 15.56% compared to baseline AWS RDS (Managed Relational Database Service), further enhancing its appeal for real-time gaming environments.
| Original language | English |
|---|---|
| Title of host publication | Computational Intelligence Techniques for 5G Enabled IoT Networks. Advances in Science, Technology & Innovation |
| Editors | M. Kumar, S. S. Gill, V. Kumar, P. Verma |
| Place of Publication | Cham, Switzerland |
| Publisher | Springer |
| Pages | 49-59 |
| Number of pages | 11 |
| ISBN (Electronic) | 9783031827334 |
| ISBN (Print) | 9783031827327 |
| DOIs | |
| Publication status | Published - 27 Jul 2025 |
Publication series
| Name | Advances in Science, Technology and Innovation |
|---|---|
| Volume | Part F703 |
| ISSN (Print) | 2522-8714 |
| ISSN (Electronic) | 2522-8722 |
Acknowledgements
We declare that this work is an updated version of an MSc project dissertation that has been submitted as a partial fulfillment of the requirements for the award of a degree of Master of Science submitted in the School of Electronic Engineering and Computer Science of Queen Mary University of London, UK. It is an authentic record of research work carried out by Zhihan Zhang under the supervision of Sukhpal Singh Gill and refers to other researchers’s work that is duly listed in the reference section. Queen Mary University of London, UK checked this MSc project dissertation using Turnitin and stored the submitted dissertation in a university records repository.Funding
No funding
Keywords
- Cloud computing
- Database management
- Google Spanner
- Performance optimization
- Smart game development
ASJC Scopus subject areas
- Architecture
- Environmental Chemistry
- Renewable Energy, Sustainability and the Environment