A Method of Business Importance Determination and Resource Allocation Based on Multiple Related Attributes

Abstract

The invention belongs to the technical field of network resource allocation, and in particular relates to a business importance determination and resource allocation method based on various related attributes. In the method of the present invention, the server node configures the three factors involved in the calculation of business importance respectively, determines the attributes involved in each of the three factors, and calculates the attribute values ​​respectively, establishes a fuzzy consistent judgment matrix, calculates the weight value, and generates a three-dimensional Business importance table, the user terminal node determines the values ​​of task type, user type and business type, and sends query request information carrying the values ​​of the three factors to the server node, the server node receives the query request, and according to the three factors Find the corresponding business importance specification value in the business importance table, and allocate resources that match the business importance specification value, and return the query results and allocation information to the user node. The invention has strong comprehensiveness, adjustable type and quantity, adjustable attribute emphasis and simple calculation method.

Description

technical field [0001] The invention belongs to the technical field of network resource allocation, and in particular relates to resource allocation suitable for multi-service networks. Background technique [0002] In a wireless network with complex and changeable services and limited bandwidth resources, it is necessary to quickly establish a set of methods for evaluating the importance of services according to the characteristics of the services in order to effectively allocate resources such as limited bandwidth. In the traditional business evaluation method, the concept of business importance is not proposed, but business priority is mostly used instead. The basis for evaluation is generally based on unilateral factors such as business type or user type. For example, business types can be roughly divided into conversation, flow, interaction, and background, and user types can be divided into high-level and low-level. [0003] Typical business priority evaluation metho...

AI Technical Summary

Problems solved by technology

Among these service priority evaluation methods, the DiffServ model is effective, easy to implement, and has strong scalability, but its flexibility and bandwidth utilization are poor, and it focuses on the scheduling guarantee of the network layer, but does not affect specific services. Properties and parameters no more analysis

The MLPP model achieves a stricter classification of services on the upper layer, but the basis for its classification is only the user priority of the service, while ignoring other attributes of the service

The advantage of the static table method is that it is simple to implement, consumes less system resources, and has high efficiency, but the disadvantage is that it cannot change with the characteristics of the system and business, and the scalability is poor.

In the existing business priority evaluation method, there is no clear concept of business importance, business importance should not be equivalent to business priority in concept, and the concept of business importance should contain more content than priority

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