A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective
The rapid development of Internet of Things (IoT) technologies has led to increasingly complex software systems on Terminal Devices (TDs). This increases the computational load and battery consumption of TDs. The emergence of Multi-access Edge Computing (MEC) and computing offloading technology all...
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| Language: | English |
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Qubahan
2023-12-01
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| Series: | Qubahan Academic Journal |
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| Online Access: | https://journal.qubahan.com/index.php/qaj/article/view/220 |
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| author | Wang Dayong Kamalrulnizam Bin Abu Bakar Babangida Isyaku |
| author_facet | Wang Dayong Kamalrulnizam Bin Abu Bakar Babangida Isyaku |
| author_sort | Wang Dayong |
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The rapid development of Internet of Things (IoT) technologies has led to increasingly complex software systems on Terminal Devices (TDs). This increases the computational load and battery consumption of TDs. The emergence of Multi-access Edge Computing (MEC) and computing offloading technology allows TDs to delegate computing-intensive tasks to the MEC network for remote execution. However, the computing and communication resources of MEC networks are limited and heterogeneous. In addition, some TDs may have a higher mobility. Therefore, IoT networks need to dynamically decide to offload some or all of the computational tasks to appropriate nodes in the MEC network. Existing reviews do not fully cover the multiple decision-making content of task offloading, and some studies do not clearly define the boundary between task offloading decision-making and task offloading scheduling optimization. This study investigates the similarities and differences between the enabling technologies, deployment architectures, and decision items of various decision mechanisms from the perspective of offloading decision content. Thus, the development and existing challenges of task offloading decision-making methods are comprehensively demonstrated, and future research directions are proposed for IoT task offloading decision-making in MEC.
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| format | Article |
| id | doaj-art-8c48eabdc9d84dcebe6dbb1fa83147ea |
| institution | Kabale University |
| issn | 2709-8206 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Qubahan |
| record_format | Article |
| series | Qubahan Academic Journal |
| spelling | doaj-art-8c48eabdc9d84dcebe6dbb1fa83147ea2025-02-03T10:12:24ZengQubahanQubahan Academic Journal2709-82062023-12-013410.48161/qaj.v3n4a220220A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content PerspectiveWang Dayong0Kamalrulnizam Bin Abu Bakar1Babangida Isyaku2Faculty of Computing, Universiti Teknologi Malaysia, MalaysiaFaculty of Computing, Universiti Teknologi Malaysia, MalaysiaFaculty of Information Communication Technology, Sule Lamido University, Nigeria The rapid development of Internet of Things (IoT) technologies has led to increasingly complex software systems on Terminal Devices (TDs). This increases the computational load and battery consumption of TDs. The emergence of Multi-access Edge Computing (MEC) and computing offloading technology allows TDs to delegate computing-intensive tasks to the MEC network for remote execution. However, the computing and communication resources of MEC networks are limited and heterogeneous. In addition, some TDs may have a higher mobility. Therefore, IoT networks need to dynamically decide to offload some or all of the computational tasks to appropriate nodes in the MEC network. Existing reviews do not fully cover the multiple decision-making content of task offloading, and some studies do not clearly define the boundary between task offloading decision-making and task offloading scheduling optimization. This study investigates the similarities and differences between the enabling technologies, deployment architectures, and decision items of various decision mechanisms from the perspective of offloading decision content. Thus, the development and existing challenges of task offloading decision-making methods are comprehensively demonstrated, and future research directions are proposed for IoT task offloading decision-making in MEC. https://journal.qubahan.com/index.php/qaj/article/view/220Decision-makingEdge ComputingIoTMulti-objective OptimizationTask Offloading |
| spellingShingle | Wang Dayong Kamalrulnizam Bin Abu Bakar Babangida Isyaku A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective Qubahan Academic Journal Decision-making Edge Computing IoT Multi-objective Optimization Task Offloading |
| title | A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective |
| title_full | A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective |
| title_fullStr | A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective |
| title_full_unstemmed | A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective |
| title_short | A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective |
| title_sort | survey on iot task offloading decisions in multi access edge computing a decision content perspective |
| topic | Decision-making Edge Computing IoT Multi-objective Optimization Task Offloading |
| url | https://journal.qubahan.com/index.php/qaj/article/view/220 |
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