Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems
This report seeks to document the development process and the design decisions behind the Edge-AI and Cloud Gaming benchmarks. The benchmarks are under an open-sourced initiative, the vHive ecosystem, which is a research platform to analyze serverless systems. The report begins with an overview o...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175155 |
| _version_ | 1826111812810047488 |
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| author | Lim, Yan Kai |
| author2 | Dmitrii Ustiugov |
| author_facet | Dmitrii Ustiugov Lim, Yan Kai |
| author_sort | Lim, Yan Kai |
| collection | NTU |
| description | This report seeks to document the development process and the design decisions behind the Edge-AI and Cloud Gaming benchmarks. The benchmarks are under an open-sourced initiative, the vHive ecosystem, which is a research platform to analyze serverless systems.
The report begins with an overview of cloud and edge computing, followed by the benefits of serverless applications. Subsequently the vHive ecosystem is introduced before delving into the architecture design of both the benchmarks.
The current benchmarks developed is meant to be a solid foundation for vHive in demonstrating implementations of high performing systems using the serverless paradigm. Therefore this report also aims to be a guide to maintaining and improving the existing benchmarks so that it simulates industrial standard systems. |
| first_indexed | 2024-10-01T02:56:57Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/175155 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:56:57Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1751552024-04-26T15:41:32Z Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems Lim, Yan Kai Dmitrii Ustiugov School of Computer Science and Engineering dmitrii.ustiugov@ntu.edu.sg Computer and Information Science Distributed Systems This report seeks to document the development process and the design decisions behind the Edge-AI and Cloud Gaming benchmarks. The benchmarks are under an open-sourced initiative, the vHive ecosystem, which is a research platform to analyze serverless systems. The report begins with an overview of cloud and edge computing, followed by the benefits of serverless applications. Subsequently the vHive ecosystem is introduced before delving into the architecture design of both the benchmarks. The current benchmarks developed is meant to be a solid foundation for vHive in demonstrating implementations of high performing systems using the serverless paradigm. Therefore this report also aims to be a guide to maintaining and improving the existing benchmarks so that it simulates industrial standard systems. Bachelor's degree 2024-04-22T08:12:06Z 2024-04-22T08:12:06Z 2024 Final Year Project (FYP) Lim, Y. K. (2024). Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175155 https://hdl.handle.net/10356/175155 en application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Distributed Systems Lim, Yan Kai Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems |
| title | Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems |
| title_full | Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems |
| title_fullStr | Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems |
| title_full_unstemmed | Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems |
| title_short | Implementation of edge-AI and cloud-gaming benchmarks for cloud-edge systems |
| title_sort | implementation of edge ai and cloud gaming benchmarks for cloud edge systems |
| topic | Computer and Information Science Distributed Systems |
| url | https://hdl.handle.net/10356/175155 |
| work_keys_str_mv | AT limyankai implementationofedgeaiandcloudgamingbenchmarksforcloudedgesystems |