Optimal resource scheduling of multi-functional edge computing devices in digital distribution networks

Yu, Hao; Huang, Chaoming; Song, Guanyu; Ji, Haoran; Zheng, Zhe; Cui, Wenpeng

doi:10.1016/j.asej.2024.102884

Cited by 1 publication

(1 citation statement)

References 29 publications

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“…The collaborative relationships between tasks should be satisfied during real-time dispatch. The memory usage properties of computation tasks remain the same during realtime dispatch [36]. For the burst task, computing data should be stored in memory from arrival until completion.…”

Section: Real-time Dispatch Constraints Of Task Computation Processmentioning

confidence: 99%

A Real-Time Resource Dispatch Approach for Edge Computing Devices in Digital Distribution Networks Considering Burst Tasks

Xu,

Li,

Zhang

et al. 2024

Processes

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Edge computing technology can effectively solve huge challenges posed by the large number of terminal devices accessing and massive data processing in digital distribution networks. Burst tasks, such as faults and data requests from the cloud, can occur at any time for edge computing devices in distribution networks. These tasks are unpredictable and usually hold the highest priority and must be completed as soon as possible. Although resources can be reserved partially at each period in the pre-scheduled operation plan, they may still be insufficient to handle burst tasks adequately. A real-time resource dispatch approach for burst tasks is developed in this study to address the above problems. The concept of flexibility for edge computing devices is presented, determining the real-time dispatch duration. Real-time resource dispatch and task handling processing are analyzed in detail, considered as task real-time dispatch models, computation process real-time dispatch constraints, and resource limitation constraints. The proposed real-time resource dispatch approach takes full advantage of the transferable characteristics for partial original plan tasks to adjust the pre-scheduled operation plan and release flexible resources for immediate processing of the burst task, completing burst tasks quickly and minimizing the impact for previous planned tasks on the edge computing device. The capability of the proposed method to efficiently deal with the burst tasks is also verified by the case study.

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Section: Real-time Dispatch Constraints Of Task Computation Processmentioning

confidence: 99%

A Real-Time Resource Dispatch Approach for Edge Computing Devices in Digital Distribution Networks Considering Burst Tasks

Xu,

Li,

Zhang

et al. 2024

Processes

Self Cite

View full text Add to dashboard Cite

show abstract

Optimal resource scheduling of multi-functional edge computing devices in digital distribution networks

Cited by 1 publication

References 29 publications

A Real-Time Resource Dispatch Approach for Edge Computing Devices in Digital Distribution Networks Considering Burst Tasks

A Real-Time Resource Dispatch Approach for Edge Computing Devices in Digital Distribution Networks Considering Burst Tasks

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