Joint optimization strategy of service cache and resource allocation in mobile edge network
Aiming at the problem that computing and storage resources of edge node in a mobile edge computing (MEC) system were limited, and excessive task offloading would cause the mismatch between the computing capacity and the load capacity of the edge server, resulting in the increase of task processing d...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023020/ |
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| _version_ | 1841540073287319552 |
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| author | Long LONG Zichen LIU Zaiwang LU Yucheng ZHANG Lei LI |
| author_facet | Long LONG Zichen LIU Zaiwang LU Yucheng ZHANG Lei LI |
| author_sort | Long LONG |
| collection | DOAJ |
| description | Aiming at the problem that computing and storage resources of edge node in a mobile edge computing (MEC) system were limited, and excessive task offloading would cause the mismatch between the computing capacity and the load capacity of the edge server, resulting in the increase of task processing delay, the joint optimization of task offloading and storage resources under the three-layer network architecture composed of multi-user, edge server and cloud server was studied to reduce the overall system delay.For the problem was a mixed integer nonlinear problem, a joint optimization strategy of service caching and resource allocation was proposed.First, the continuous and discrete variables of the original problem were decoupled into two sub-problems, namely, the service cache decision problem and the joint optimization problem of computing resources and communication resources.Then, the linear reconstruction, relaxation method and convex optimization method were used to alternately optimize the two sub-problems to obtain the near-optimal solution.Simulation results demonstrate that the proposed strategy can obtain a near-optimal performance with low complexity, and can reduce up to 10% of the task duration compared with other strategies. |
| format | Article |
| id | doaj-art-cc4bb982ee954a318bb8acba14432c38 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-cc4bb982ee954a318bb8acba14432c382025-01-14T06:23:40ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-01-0144647459388851Joint optimization strategy of service cache and resource allocation in mobile edge networkLong LONGZichen LIUZaiwang LUYucheng ZHANGLei LIAiming at the problem that computing and storage resources of edge node in a mobile edge computing (MEC) system were limited, and excessive task offloading would cause the mismatch between the computing capacity and the load capacity of the edge server, resulting in the increase of task processing delay, the joint optimization of task offloading and storage resources under the three-layer network architecture composed of multi-user, edge server and cloud server was studied to reduce the overall system delay.For the problem was a mixed integer nonlinear problem, a joint optimization strategy of service caching and resource allocation was proposed.First, the continuous and discrete variables of the original problem were decoupled into two sub-problems, namely, the service cache decision problem and the joint optimization problem of computing resources and communication resources.Then, the linear reconstruction, relaxation method and convex optimization method were used to alternately optimize the two sub-problems to obtain the near-optimal solution.Simulation results demonstrate that the proposed strategy can obtain a near-optimal performance with low complexity, and can reduce up to 10% of the task duration compared with other strategies.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023020/mobile edge computingmultilevel networkservice cacheresource allocation |
| spellingShingle | Long LONG Zichen LIU Zaiwang LU Yucheng ZHANG Lei LI Joint optimization strategy of service cache and resource allocation in mobile edge network Tongxin xuebao mobile edge computing multilevel network service cache resource allocation |
| title | Joint optimization strategy of service cache and resource allocation in mobile edge network |
| title_full | Joint optimization strategy of service cache and resource allocation in mobile edge network |
| title_fullStr | Joint optimization strategy of service cache and resource allocation in mobile edge network |
| title_full_unstemmed | Joint optimization strategy of service cache and resource allocation in mobile edge network |
| title_short | Joint optimization strategy of service cache and resource allocation in mobile edge network |
| title_sort | joint optimization strategy of service cache and resource allocation in mobile edge network |
| topic | mobile edge computing multilevel network service cache resource allocation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023020/ |
| work_keys_str_mv | AT longlong jointoptimizationstrategyofservicecacheandresourceallocationinmobileedgenetwork AT zichenliu jointoptimizationstrategyofservicecacheandresourceallocationinmobileedgenetwork AT zaiwanglu jointoptimizationstrategyofservicecacheandresourceallocationinmobileedgenetwork AT yuchengzhang jointoptimizationstrategyofservicecacheandresourceallocationinmobileedgenetwork AT leili jointoptimizationstrategyofservicecacheandresourceallocationinmobileedgenetwork |