A cloud-based path-finding framework: Improving the performance of real-time navigation in games
Conference item
| Authors | Rowe, Jordan, Whitbrook, Amanda and Chen, Minsi |
|---|---|
| Abstract | This paper reviews current research in Cloud utilisation within games and finds that there is little beyond Cloud gaming and Cloud MMOs. To this end, a proof-of-concept Cloud-based Path-finding framework is introduced. This was developed to determine the practicality of relocating the computation for navigation problems from consumer-grade clients to powerful business-grade servers, with the aim of improving performance. The results gathered suggest that the solution might be impractical. However, because of the poor quality of the data, the results are largely inconclusive. Thus recommendations and questions for future research are posed. |
This paper reviews current research in Cloud utilisation within games and finds that there is little beyond Cloud gaming and Cloud MMOs. To this end, a proof-of-concept Cloud-based Path-finding framework is introduced. This was developed to determine the practicality | |
| Keywords | Cloud computing; Path finding; A* Search; Gaming; Artificial intelligence |
| Year | 2017 |
| Journal | Proceedings of the 10th International Conference on Utility and Cloud Computing |
| Publisher | Association of Computing Machinery |
| Digital Object Identifier (DOI) | https://doi.org/10.1145/3147234.3148097 |
| Web address (URL) | http://hdl.handle.net/10545/621899 |
| hdl:10545/621899 | |
| File | |
| File | File Access Level Open |
| Publication dates | 2017 |
| Publication process dates | |
| Deposited | 25 Oct 2017, 11:29 |
| Contributors | Thrive Therapeutic Software, University of Derby and University of Huddersfield |
https://repository.derby.ac.uk/item/95365/a-cloud-based-path-finding-framework-improving-the-performance-of-real-time-navigation-in-games
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