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Adaptive Service Framework Based on Grey Decision-Making in the Internet of Things

机译:物联网中基于灰色决策的自适应服务框架

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In the internet of things(IoT) environment, the dynamic service is the use of resource allocation, service composition and service methods such as internal adjustment of the system to achieve an important mechanism for QoS management, in the device layer, dynamic service provides a flexible self-adaptive applications for RFID. However, smart devices such as mobile reader of resources are scarce in the internet of things, in addition,the wireless sensor devices form more intelligent environment interface, so the more interface access to fewer resources,which greatly reduce the network objects together intelligence, it is necessary to call the interface of IoT dynamic allocation of resources, composition, adjustment, thereby enhancing the IoT network and intelligent applications. In this article, in the complex networked environment a self-adaptive dynamic service was introduced, a novel adaptive method proposed, the method for a control decision-making system to reduce the consumption of devices resources, and the effect measure adjustment based QoS dynamic service.
机译:在物联网(IoT)环境中,动态服务是利用资源分配,服务组成和服务方法等对系统进行内部调整来实现QoS管理的重要机制,在设备层,动态服务提供了一种灵活的RFID自适应应用程序。但是,物联网移动设备等智能设备(如资源移动阅读器)稀缺,此外,无线传感器设备形成了更多的智能环境接口,因此更多的接口可以访问更少的资源,从而大大降低了网络对象的智能化,必须调用物联网接口来动态分配资源,组成,调整,从而增强物联网网络和智能应用。本文介绍了在复杂网络环境中的自适应动态服务,提出了一种新的自适应方法,提出了一种控制决策系统减少设备资源消耗的方法,以及基于效果度量调整的QoS动态服务。 。

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