Hierarchical resource deployment and sharing strategy in mobile edge computing
With the coming of 5G, Internet of things (IoT) has gradually become a reality.However, the function of many terminals is limited to insufficient computing resources in IoT.Mobile edge computing (MEC) is a new network paradigm, where terminals can offload the resource sensitive applications to nearb...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2021-03-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00200/ |
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| _version_ | 1841533819762507776 |
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| author | Houhao ZHANG Hanlin LI Lin GAO |
| author_facet | Houhao ZHANG Hanlin LI Lin GAO |
| author_sort | Houhao ZHANG |
| collection | DOAJ |
| description | With the coming of 5G, Internet of things (IoT) has gradually become a reality.However, the function of many terminals is limited to insufficient computing resources in IoT.Mobile edge computing (MEC) is a new network paradigm, where terminals can offload the resource sensitive applications to nearby edge services with rich resources, and thus reduced the operational cost/delay and increased the quality of service (QoS).The resource deployment of MEC was studied, a scenario was considered that the Internet service provider (ISP) paid for deploying the MEC resources, and meanwhile gained revenue from leasing resources to terminals.Note that the deployment of MEC resource is a long-term strategy, while the demands from terminals are time varying.Therefore, it is critical to deploy the MEC resource properly.A hierarchical architecture built upon the 5G radio access network for MEC resource deployment and sharing was proposed, where the MEC resource could be deployed at different network levels.Based on the hierarchical network architecture, the optimal MEC resource deployment problem was formulated and solved as a mixed integer programming problem, aiming at maximizing the ISP’s revenue.And the CVX toolbox in MATLAB was used to solve the problem.Simulation results demonstrate that the proposed solution outperforms the flat resource deployment solution in terms of both the ISP’s revenue and the deployment cost. |
| format | Article |
| id | doaj-art-6f93d71501be4aa8b09f0ad159904170 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2021-03-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-6f93d71501be4aa8b09f0ad1599041702025-01-15T02:53:50ZzhoChina InfoCom Media Group物联网学报2096-37502021-03-015111859651273Hierarchical resource deployment and sharing strategy in mobile edge computingHouhao ZHANGHanlin LILin GAOWith the coming of 5G, Internet of things (IoT) has gradually become a reality.However, the function of many terminals is limited to insufficient computing resources in IoT.Mobile edge computing (MEC) is a new network paradigm, where terminals can offload the resource sensitive applications to nearby edge services with rich resources, and thus reduced the operational cost/delay and increased the quality of service (QoS).The resource deployment of MEC was studied, a scenario was considered that the Internet service provider (ISP) paid for deploying the MEC resources, and meanwhile gained revenue from leasing resources to terminals.Note that the deployment of MEC resource is a long-term strategy, while the demands from terminals are time varying.Therefore, it is critical to deploy the MEC resource properly.A hierarchical architecture built upon the 5G radio access network for MEC resource deployment and sharing was proposed, where the MEC resource could be deployed at different network levels.Based on the hierarchical network architecture, the optimal MEC resource deployment problem was formulated and solved as a mixed integer programming problem, aiming at maximizing the ISP’s revenue.And the CVX toolbox in MATLAB was used to solve the problem.Simulation results demonstrate that the proposed solution outperforms the flat resource deployment solution in terms of both the ISP’s revenue and the deployment cost.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00200/internet of thingsmobile edge computinghierarchical resource deployment |
| spellingShingle | Houhao ZHANG Hanlin LI Lin GAO Hierarchical resource deployment and sharing strategy in mobile edge computing 物联网学报 internet of things mobile edge computing hierarchical resource deployment |
| title | Hierarchical resource deployment and sharing strategy in mobile edge computing |
| title_full | Hierarchical resource deployment and sharing strategy in mobile edge computing |
| title_fullStr | Hierarchical resource deployment and sharing strategy in mobile edge computing |
| title_full_unstemmed | Hierarchical resource deployment and sharing strategy in mobile edge computing |
| title_short | Hierarchical resource deployment and sharing strategy in mobile edge computing |
| title_sort | hierarchical resource deployment and sharing strategy in mobile edge computing |
| topic | internet of things mobile edge computing hierarchical resource deployment |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00200/ |
| work_keys_str_mv | AT houhaozhang hierarchicalresourcedeploymentandsharingstrategyinmobileedgecomputing AT hanlinli hierarchicalresourcedeploymentandsharingstrategyinmobileedgecomputing AT lingao hierarchicalresourcedeploymentandsharingstrategyinmobileedgecomputing |