Optimal sequential relay-remote selection and computation offloading in mobile edge computing
In this paper, we investigate a MEC relay-assisted system with multiple relay nodes (RNs) and multiple remote servers (RSs), where both the selections of best RN and RS are considered. In order to explore the diversity of both RNs and RSs, we propose a sequential relay-remote selection and offloadin...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/160826 |
| _version_ | 1826127805606264832 |
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| author | Chen, Che Guo, Rongzong Zhang, Wenjie Yang, Jingmin Yeo, Chai Kiat |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Chen, Che Guo, Rongzong Zhang, Wenjie Yang, Jingmin Yeo, Chai Kiat |
| author_sort | Chen, Che |
| collection | NTU |
| description | In this paper, we investigate a MEC relay-assisted system with multiple relay nodes (RNs) and multiple remote servers (RSs), where both the selections of best RN and RS are considered. In order to explore the diversity of both RNs and RSs, we propose a sequential relay-remote selection and offloading strategy by taking the local computing, relay computing and remote computing into consideration. The sequential relay-remote selection strategy specifies when to stop server discovery and carry out computation offloading. The offloading strategy tells what are the optimal portions of task executed locally, at RN and at RS. Under such framework, we seek to minimize the total energy consumption coming from server detection, data transmission and data execution. We formulate this problem as a stochastic sequential decision-making problem and dynamic programming is applied to obtain the optimal strategy. The performance of our proposed strategy is evaluated using simulation results. It is found that the energy consumption can be reduced by jointly considering the design of sequential relay-remote selection and offloading ratio optimization. |
| first_indexed | 2024-10-01T07:14:51Z |
| format | Journal Article |
| id | ntu-10356/160826 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:14:51Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1608262022-08-03T05:28:46Z Optimal sequential relay-remote selection and computation offloading in mobile edge computing Chen, Che Guo, Rongzong Zhang, Wenjie Yang, Jingmin Yeo, Chai Kiat School of Computer Science and Engineering Engineering::Computer science and engineering Relay-Remote Selection Sequential Discovery In this paper, we investigate a MEC relay-assisted system with multiple relay nodes (RNs) and multiple remote servers (RSs), where both the selections of best RN and RS are considered. In order to explore the diversity of both RNs and RSs, we propose a sequential relay-remote selection and offloading strategy by taking the local computing, relay computing and remote computing into consideration. The sequential relay-remote selection strategy specifies when to stop server discovery and carry out computation offloading. The offloading strategy tells what are the optimal portions of task executed locally, at RN and at RS. Under such framework, we seek to minimize the total energy consumption coming from server detection, data transmission and data execution. We formulate this problem as a stochastic sequential decision-making problem and dynamic programming is applied to obtain the optimal strategy. The performance of our proposed strategy is evaluated using simulation results. It is found that the energy consumption can be reduced by jointly considering the design of sequential relay-remote selection and offloading ratio optimization. This work is supported by Natural Science Funds of China (No. 61701213), Natural Science Funds of Fujian (No. 2020J01813). 2022-08-03T05:28:46Z 2022-08-03T05:28:46Z 2022 Journal Article Chen, C., Guo, R., Zhang, W., Yang, J. & Yeo, C. K. (2022). Optimal sequential relay-remote selection and computation offloading in mobile edge computing. Journal of Supercomputing, 78(1), 1093-1116. https://dx.doi.org/10.1007/s11227-021-03919-w 0920-8542 https://hdl.handle.net/10356/160826 10.1007/s11227-021-03919-w 2-s2.0-85107498773 1 78 1093 1116 en Journal of Supercomputing © 2021 The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Relay-Remote Selection Sequential Discovery Chen, Che Guo, Rongzong Zhang, Wenjie Yang, Jingmin Yeo, Chai Kiat Optimal sequential relay-remote selection and computation offloading in mobile edge computing |
| title | Optimal sequential relay-remote selection and computation offloading in mobile edge computing |
| title_full | Optimal sequential relay-remote selection and computation offloading in mobile edge computing |
| title_fullStr | Optimal sequential relay-remote selection and computation offloading in mobile edge computing |
| title_full_unstemmed | Optimal sequential relay-remote selection and computation offloading in mobile edge computing |
| title_short | Optimal sequential relay-remote selection and computation offloading in mobile edge computing |
| title_sort | optimal sequential relay remote selection and computation offloading in mobile edge computing |
| topic | Engineering::Computer science and engineering Relay-Remote Selection Sequential Discovery |
| url | https://hdl.handle.net/10356/160826 |
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