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- W3208228473 abstract "As a new computing paradigm, edge-device collaboration is able to reduce the task execution delay for the devices with limited energy. However, deterministic delay guarantee is unavailable due to the random task arrivals and time-varying channel fading. This paper proposes to study the task execution delay of edge-device collaboration from the probabilistic view of point. Specifically, an optimization problem is formulated with objective of minimizing the proportion of tasks that are not served in time. Then, a general delay violation probability for stochastic system is derived, based on which, the task execution delay violation probability at local device and that at the edge server are obtained respectively. Thereafter, the optimization problem can be transferred into a tractable one where task offloading proportion and task offloading rate can be jointly optimized. The effectiveness of the proposed scheme is finally validated by extensive numerical simulations." @default.
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- W3208228473 date "2021-01-01" @default.
- W3208228473 modified "2023-10-16" @default.
- W3208228473 title "Stochastic Performance Analysis of Edge-Device Collaboration" @default.
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- W3208228473 doi "https://doi.org/10.1007/978-3-030-89814-4_7" @default.
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