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A Method for Efficient Management of Service Resources Based on Multi-Service Network

A management method and technology of business resources, applied in the direction of network traffic/resource management, data exchange network, digital transmission system, etc., can solve problems such as bandwidth and delay that cannot meet multi-service applications

Active Publication Date: 2014-10-15
重庆安隐科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Since the traditional network only provides "best effort" transmission services and cannot meet the bandwidth and delay requirements of the increasingly popular multi-service applications, the IETF has successively proposed integrated services (Intserv) and differentiated services (Diffserv). Various QoS implementation mechanisms such as reservation, admission control, traffic shaping, and packet scheduling provide the required QoS support for different services

Method used

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  • A Method for Efficient Management of Service Resources Based on Multi-Service Network
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  • A Method for Efficient Management of Service Resources Based on Multi-Service Network

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Embodiment Construction

[0025] The technical solution adopted by the present invention to solve the above technical problems is: to provide a business management method based on a neural network based on a multi-service network, a fuzzy control system and a service access control mechanism. Priority classification, and the use of fuzzy control methods and the design of corresponding service access control mechanisms to achieve efficient business management; it is characterized in that: by inventing a business management method that meets the business QoS requirements in a multi-service network, to achieve high efficiency of business scheduling, including the following steps:

[0026] Step 1. Since the neural network has a strong classification ability, the classification result can be displayed in the output layer through self-organized learning of the input samples, so it can be used to classify services with different QoS requirements. Let the input business feature vector Parallel connection int...

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Abstract

The invention provides a multi-service-network-based service management method combined with a neural network, a fuzzy control system and a service access control mechanism. According to the method, priority classification on services is conducted by applying the neural network, and efficient service management can be realized by adopting a fuzzy control method and designing the corresponding service access control mechanism.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to wireless transmission and neural network theory. Background technique [0002] With the increasing popularity of network applications and the continuous emergence of new applications, the traditional network has gradually developed from a simple information infrastructure construction to an important part of society. During this process, the control and allocation of network service resources is particularly important. [0003] Due to the wide application of multi-service services, different service services have different requirements for network QoS, so different applications have different requirements for data transmission performance. Very sensitive, but can tolerate a small amount of packet loss; video transmission usually requires relatively high bandwidth, can accept a certain delay and delay jitter, but is sensitive to packet loss. Therefore, it is neces...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/70H04W28/24H04W24/02
Inventor 黄东
Owner 重庆安隐科技有限公司