Overhead optimization task scheduling method based on an edge gateway system

Abstract

The invention discloses an overhead optimization task scheduling method based on an edge gateway system, which considers the computing resource consumption, the energy consumption and the time consumption of an edge gateway, combines an edge computing mode, aims to reduce the energy and time overhead to the maximum extent, and is suitable for running a delay sensitive task in a scene with limitedresources. The method comprises the following steps: firstly, establishing a heterogeneous distributed computing environment; studing an edge gateway system task scheduling mechanism under a heterogeneous object end and anyalzing a task scheduling problem existing in an edge gateway system and providing an overhead optimization task scheduling method based on the edge gateway system by respectively modeling a local execution task and an unloading execution task. And finally, the implementation rationality of the proposed overhead optimization task scheduling method is proved. The method has great research significance for comprehensively planning resources of the whole edge gateway system and efficiently processing loads.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to an overhead optimization task scheduling method for coordinating resource management and task allocation in an edge gateway system. Background technique [0002] In recent years, the Internet of Things has shifted from centralized cloud computing to edge computing (or fog computing) paradigms with the increasing popularity and increasing processing power of IoT devices. In order to effectively reduce the load on the core network, the captured data is first filtered and processed at the edge of the network. In addition, data analysis is more valuable than the device itself. On the edge computing side close to the front-end intelligence, the value of real-time data can be Maximize it, so the development trend of the Internet of Things is extending to the edge. Edge devices are used as end devices or applications offload their data, an efficient way to support resour...

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Problems solved by technology

[0003] In view of the rapid growth of smart devices in the Internet of Things, a large number of Internet of Things devices lead to rapid expansion of data scale, and such connected devices also need to perform intelligent computing, the purpose of the present invention is to provide a cost-optimized task scheduling based on an edge gateway system method to solve the problem that a single edge device cannot independently complete application requirements due to limited resources and excessive overhead such as delay

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