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Distributed task unloading and computing resource management method based on energy collection

A technology for distributed tasks and energy harvesting, applied in the field of mobile communications

Active Publication Date: 2021-07-13
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] With the integration of EH and MEC, it is facing new challenges to ensure the stability of system computing performance

Method used

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  • Distributed task unloading and computing resource management method based on energy collection
  • Distributed task unloading and computing resource management method based on energy collection
  • Distributed task unloading and computing resource management method based on energy collection

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Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] The present invention proposes a distributed task offloading and computing resource management method based on energy collection, such as figure 1 , including the following steps:

[0054] According to the mobile edge computing environment, establish a task-local computing model and an edge cloud computing model;

[0055] Obtain the income that the device purchases resources from the mobile edge computing server for task offloading, and use the disturb...

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Abstract

The invention belongs to the technical field of mobile communication, and particularly relates to a distributed task unloading and computing resource management method based on energy harvesting, which comprises the following steps: establishing a task local computing model and an edge cloud computing model; establishing a target function for maximizing the revenue of the equipment end based on disturbance Lyapunov optimization and a target function for maximizing the revenue of the moving edge computing server; the equipment pre-selecting a mobile edge computing service server to unload the task according to a pre-screening criterion; utilizing a Lagrange multiplier method and a KKT condition to calculate an optimal task quantity strategy for unloading from the equipment end to the selected mobile edge computing server; obtaining an optimal quotation strategy of the mobile edge computing server to the equipment end in each time slot; and obtaining a solution of the optimal task quantity strategy and the optimal dynamic quotation strategy meeting the Steinkelberg equilibrium as a resource allocation strategy. According to the invention, stable management of the battery energy level and on-demand allocation of computing resources for heterogeneous users are realized.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to a distributed task offloading and computing resource management method based on energy collection. Background technique [0002] Driven by the rapid development of the Internet of Things and the popularization of smart terminal devices, cloud-oriented applications (such as virtual reality, unmanned driving, and online games) that are characterized by computation-intensive and latency-sensitive features are developing at an unprecedented speed in recent years . Although the processing power of CPUs and the storage capacity of mobile devices (MDs) continue to improve, computing performance and battery life are still facing severe challenges in the era of big data and artificial intelligence. Mobile Edge Computing (MobileEdge Computing, MEC), as an emerging computing model, can significantly improve user service experience by offloading all or part of local...

Claims

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Application Information

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IPC IPC(8): H04L29/08
CPCH04L67/10H04L67/1023Y02D30/70
Inventor 姚枝秀高倩夏士超李云吴广富
Owner CHONGQING UNIV OF POSTS & TELECOMM
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