A novel vehicular task deployment method in hybrid MEC
Abstract With the skyrocketing need for low-latency services on the Internet of Vehicles (IoV) and elastic cross-layer resource provisioning, multi-access edge computing (MEC) is considered a high-potent solution, which evolves from cloud and grid computing to meet the above needs in IoV scenarios....
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2022-12-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-022-00357-8 |
| _version_ | 1811177910799695872 |
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| author | Xifeng Xu Yunni Xia Feng Zeng Fan Li Hong Xie Xiaodong Fu Mengdi Wang |
| author_facet | Xifeng Xu Yunni Xia Feng Zeng Fan Li Hong Xie Xiaodong Fu Mengdi Wang |
| author_sort | Xifeng Xu |
| collection | DOAJ |
| description | Abstract With the skyrocketing need for low-latency services on the Internet of Vehicles (IoV) and elastic cross-layer resource provisioning, multi-access edge computing (MEC) is considered a high-potent solution, which evolves from cloud and grid computing to meet the above needs in IoV scenarios. Instead of considering single-point and monolithic IoV tasks, in this paper, we consider the IoV applications to be with structural properties and the supporting environment to be with a hybrid cloud-edge architecture. We develop a scheduling method that offloads tasks to the eNode or cloud according to their estimations of latest starting time. Simulative results clearly demonstrate that our method beat existing solutions in terms of average completion time, average waiting time, and in-time completion rate. |
| first_indexed | 2024-04-11T06:09:16Z |
| format | Article |
| id | doaj.art-fdfd03a1c57540eca5a903380eeaca25 |
| institution | Directory Open Access Journal |
| issn | 2192-113X |
| language | English |
| last_indexed | 2024-04-11T06:09:16Z |
| publishDate | 2022-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj.art-fdfd03a1c57540eca5a903380eeaca252022-12-22T04:41:22ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2022-12-0111111310.1186/s13677-022-00357-8A novel vehicular task deployment method in hybrid MECXifeng Xu0Yunni Xia1Feng Zeng2Fan Li3Hong Xie4Xiaodong Fu5Mengdi Wang6College of Computer Science, Chongqing UniversityCollege of Computer Science, Chongqing UniversityDiscovery Technology (Shenzhen)LimitedKey Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense, Sichuan UniversityCollege of Computer Science, Chongqing UniversityFaculty of Information Engineering and Automation, Kunming University of Science and TechnologyCollege of Computer Science and Technology, Chongqing University of Posts and TelecommunicationsAbstract With the skyrocketing need for low-latency services on the Internet of Vehicles (IoV) and elastic cross-layer resource provisioning, multi-access edge computing (MEC) is considered a high-potent solution, which evolves from cloud and grid computing to meet the above needs in IoV scenarios. Instead of considering single-point and monolithic IoV tasks, in this paper, we consider the IoV applications to be with structural properties and the supporting environment to be with a hybrid cloud-edge architecture. We develop a scheduling method that offloads tasks to the eNode or cloud according to their estimations of latest starting time. Simulative results clearly demonstrate that our method beat existing solutions in terms of average completion time, average waiting time, and in-time completion rate.https://doi.org/10.1186/s13677-022-00357-8Internet of VehiclesMulti-access edge computingTask schedulingQuality of service |
| spellingShingle | Xifeng Xu Yunni Xia Feng Zeng Fan Li Hong Xie Xiaodong Fu Mengdi Wang A novel vehicular task deployment method in hybrid MEC Journal of Cloud Computing: Advances, Systems and Applications Internet of Vehicles Multi-access edge computing Task scheduling Quality of service |
| title | A novel vehicular task deployment method in hybrid MEC |
| title_full | A novel vehicular task deployment method in hybrid MEC |
| title_fullStr | A novel vehicular task deployment method in hybrid MEC |
| title_full_unstemmed | A novel vehicular task deployment method in hybrid MEC |
| title_short | A novel vehicular task deployment method in hybrid MEC |
| title_sort | novel vehicular task deployment method in hybrid mec |
| topic | Internet of Vehicles Multi-access edge computing Task scheduling Quality of service |
| url | https://doi.org/10.1186/s13677-022-00357-8 |
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