Servers Placement Scheme Based on All-pay Auction Framework in Mobile Edge Computing
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911839458164736 |
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| author | Xia, Yun |
| author_facet | Xia, Yun |
| contents | Task offloading plays a pivotal role in mobile edge computing, enabling terminal devices to enhance task execution efficiency and conserve energy. However, servers are reluctant to offer services without compensation. Currently, pricing mechanisms are commonly employed to incentivize servers to serve terminal devices, with servers earning revenue through payments from these devices. Given the rapid surge in terminal devices, determining the optimal number of servers placement for service providers (SPs) to maximize revenue is crucial. In this paper, we propose a server placement scheme based on an all-pay auction framework. Experimental simulations reveal that an optimal server-user ratio of approximately 25% maximizes SP profits. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2404_09477 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Servers Placement Scheme Based on All-pay Auction Framework in Mobile Edge Computing Xia, Yun Computer Science and Game Theory Task offloading plays a pivotal role in mobile edge computing, enabling terminal devices to enhance task execution efficiency and conserve energy. However, servers are reluctant to offer services without compensation. Currently, pricing mechanisms are commonly employed to incentivize servers to serve terminal devices, with servers earning revenue through payments from these devices. Given the rapid surge in terminal devices, determining the optimal number of servers placement for service providers (SPs) to maximize revenue is crucial. In this paper, we propose a server placement scheme based on an all-pay auction framework. Experimental simulations reveal that an optimal server-user ratio of approximately 25% maximizes SP profits. |
| title | Servers Placement Scheme Based on All-pay Auction Framework in Mobile Edge Computing |
| topic | Computer Science and Game Theory |
| url | https://arxiv.org/abs/2404.09477 |