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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제17권 제3호
- 발행연도
- 2021.1
- 수록면
- 489 - 504 (16page)
이용수
초록· 키워드
오류제보하기
By distributing computing tasks among devices at the edge of networks, edge computing uses virtualization,distributed computing and parallel computing technologies to enable users dynamically obtain computingpower, storage space and other services as needed. Applying edge computing architectures to Internet ofVehicles can effectively alleviate the contradiction among the large amount of computing, low delayed vehicleapplications, and the limited and uneven resource distribution of vehicles. In this paper, a predictive offloadingstrategy based on the MEC load state is proposed, which not only considers reducing the delay of calculationresults by the RSU multi-hop backhaul, but also reduces the queuing time of tasks at MEC servers. Firstly, thedelay factor and the energy consumption factor are introduced according to the characteristics of tasks, and thecost of local execution and offloading to MEC servers for execution are defined. Then, from the perspective ofvehicles, the delay preference factor and the energy consumption preference factor are introduced to define thecost of executing a computing task for another computing task. Furthermore, a mathematical optimizationmodel for minimizing the power overhead is constructed with the constraints of time delay and powerconsumption. Additionally, the simulated annealing algorithm is utilized to solve the optimization model. Thesimulation results show that this strategy can effectively reduce the system power consumption by shorteningthe task execution delay. Finally, we can choose whether to offload computing tasks to MEC server forexecution according to the size of two costs. This strategy not only meets the requirements of time delay andenergy consumption, but also ensures the lowest cost.
목차
등록된 정보가 없습니다.
참고문헌 (14)
참고문헌 신청
Q. Liu / 2020 / Prescribed-performance-based adaptive control for hybrid energy storage systems of battery and supercapacitor in electric vehicles / International Journal of Innovative Computing, Information and Control 16(2):571~584
W. Xu / 2019 / An efficient wideband spectrum sensing algorithm for unmanned aerial vehicle communication networks / IEEE Internet of Things Journal 6(2):1768~1780
R. Hu / 2019 / The methods of big data fusion and semantic collision detection in Internet of Thing / Cluster Computing 22(4):8007~8015
K. Zhang / 2018 / Mobile edge computing and networking for green and low-latency Internet of Things / IEEE Communications Magazine 56(5):39~45
K. Zhang / 2017 / Optimal delay constrained offloading for vehicular edge computing networks / Proceedings of 2017 IEEE International Conference on Communications (ICC) :1~6
W. Xu / 2019 / An efficient wideband spectrum sensing algorithm for unmanned aerial vehicle communication networks / IEEE Internet of Things Journal 6(2):1768~1780
R. Hu / 2019 / The methods of big data fusion and semantic collision detection in Internet of Thing / Cluster Computing 22(4):8007~8015
K. Zhang / 2018 / Mobile edge computing and networking for green and low-latency Internet of Things / IEEE Communications Magazine 56(5):39~45
K. Zhang / 2017 / Optimal delay constrained offloading for vehicular edge computing networks / Proceedings of 2017 IEEE International Conference on Communications (ICC) :1~6
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