Optimization of IoT perceived content caching in F-RANs: Minimum retrieval delay and resource extension with performance sensitivity
In the Internet of Things (IoT) perceived applications of monitoring the states of the environment, a feasible technology is to use fog radio access networks (F-RANs) to alleviate the problems of long response time and cloud server bottlenecks in cloud computing. In response to the above problems, t...
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| Published in: | Future generation computer systems Vol. 164; p. 107572 |
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| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01.03.2025
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| ISSN: | 0167-739X |
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| Abstract | In the Internet of Things (IoT) perceived applications of monitoring the states of the environment, a feasible technology is to use fog radio access networks (F-RANs) to alleviate the problems of long response time and cloud server bottlenecks in cloud computing. In response to the above problems, this work investigates the problem of minimizing the retrieval delay of IoT contents in F-RANs under the constraints of system resources. The problem is formulated as an integer linear programming (ILP) model. Then, a polynomial-time method with linear programming (LP) relaxation and rounding is proposed to approximate the optimal solution of the problem. Through proof, the method can obtain a feasible solution with a bounded approximation ratio in polynomial time. The conducted simulations validate that the obtained feasible solution is very close to the optimal one. On the other hand, when the system resources are not enough to meet the continuous growth of content retrieval and need to be expanded, this work further establishes an association relation between cached contents and system resources. Based on the above relation, the second method of expanding system resources with performance sensitivity is proposed to provide the service provider with an effective and economical expansion of system resources. It utilizes a predefined system parameter in balancing the trade-off between the approximation ratio to the optimal solution of the problem and the extended system resources. The solution obtained by the second method is also proved to have a bounded approximation ratio.
•Proposing to minimize IoT content retrieval delay under resource constraints in F-RANs.•Two algorithms use rounding techniques for feasible solutions with bounded ratios.•Simulations show superior performance and solutions close to optimal vs. recent works. |
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| AbstractList | In the Internet of Things (IoT) perceived applications of monitoring the states of the environment, a feasible technology is to use fog radio access networks (F-RANs) to alleviate the problems of long response time and cloud server bottlenecks in cloud computing. In response to the above problems, this work investigates the problem of minimizing the retrieval delay of IoT contents in F-RANs under the constraints of system resources. The problem is formulated as an integer linear programming (ILP) model. Then, a polynomial-time method with linear programming (LP) relaxation and rounding is proposed to approximate the optimal solution of the problem. Through proof, the method can obtain a feasible solution with a bounded approximation ratio in polynomial time. The conducted simulations validate that the obtained feasible solution is very close to the optimal one. On the other hand, when the system resources are not enough to meet the continuous growth of content retrieval and need to be expanded, this work further establishes an association relation between cached contents and system resources. Based on the above relation, the second method of expanding system resources with performance sensitivity is proposed to provide the service provider with an effective and economical expansion of system resources. It utilizes a predefined system parameter in balancing the trade-off between the approximation ratio to the optimal solution of the problem and the extended system resources. The solution obtained by the second method is also proved to have a bounded approximation ratio.
•Proposing to minimize IoT content retrieval delay under resource constraints in F-RANs.•Two algorithms use rounding techniques for feasible solutions with bounded ratios.•Simulations show superior performance and solutions close to optimal vs. recent works. |
| ArticleNumber | 107572 |
| Author | Hu, Chia-Cheng |
| Author_xml | – sequence: 1 givenname: Chia-Cheng orcidid: 0000-0002-5943-1070 surname: Hu fullname: Hu, Chia-Cheng email: jjhwu@ksts.seed.net.tw organization: College of Artificial Intelligence, Yango University, Fuzhou, China |
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| Cites_doi | 10.1109/TCC.2018.2791509 10.1109/TMC.2019.2896970 10.1109/TCC.2019.2921371 10.1109/TSC.2021.3062017 10.1109/TCOMM.2019.2934854 10.1109/TCYB.2020.3026673 10.1109/ACCESS.2017.2692960 10.1109/COMST.2017.2682318 10.1109/TNSM.2021.3056891 10.1109/TPDS.2020.3016344 10.1109/JIOT.2019.2911455 10.1109/MWC.001.2000292 10.1109/TMC.2020.2967041 10.1109/TNSM.2022.3198074 10.1109/JSAC.2018.2844961 10.1109/TVT.2022.3222596 10.1109/JIOT.2018.2875743 10.1109/TCOMM.2017.2734767 10.1109/TCOMM.2018.2866458 10.1109/TCOMM.2018.2880482 10.1109/JIOT.2019.2957351 10.1109/JIOT.2020.3026322 10.1109/JIOT.2018.2880483 10.1109/TVT.2022.3206876 10.1109/TII.2019.2902563 10.1109/TCOMM.2019.2961081 10.1109/TCOMM.2019.2912384 10.1109/TCC.2019.2930259 10.1109/TII.2020.2990741 10.1109/TCC.2018.2855160 10.1109/TCC.2021.3067834 10.1109/TCYB.2020.2989309 |
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| Keywords | Fog radio access network (F-RAN) Resource extension Integer linear programming (ILP) Retrieval delay Internet of Things (ioT) Content caching |
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| SubjectTerms | Content caching Fog radio access network (F-RAN) Integer linear programming (ILP) Internet of Things (ioT) Resource extension Retrieval delay |
| Title | Optimization of IoT perceived content caching in F-RANs: Minimum retrieval delay and resource extension with performance sensitivity |
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