A cloud-based path-finding framework: Improving the performance of real-time navigation in games

Conference item


Rowe, Jordan, Whitbrook, Amanda and Chen, Minsi 2017. A cloud-based path-finding framework: Improving the performance of real-time navigation in games. Association of Computing Machinery. https://doi.org/10.1145/3147234.3148097
AuthorsRowe, 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
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.

KeywordsCloud computing; Path finding; A* Search; Gaming; Artificial intelligence
Year2017
JournalProceedings of the 10th International Conference on Utility and Cloud Computing
PublisherAssociation 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
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File
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Open
Publication dates2017
Publication process dates
Deposited25 Oct 2017, 11:29
ContributorsThrive Therapeutic Software, University of Derby and University of Huddersfield
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