Business importance determining and resource allocating method based on multiple correlated attributes

Abstract

The invention belongs to the network resource allocating technology field, and more particularly, to a business importance determining and resource allocating method based on multiple correlated attributes. The method of the invention configures the three factors in relation to the business importance calculation by a server node respectively; determining the attributes that the three factors involve; calculating the attributes values respectively; creating a fuzzy consistent judgment matrix; calculating their weights; generating a three-dimensional business importance table; determining the task type, the user type and the value of the business type by a client terminal node; sending to the server node the inquiry request information carrying the values of the three factors; receiving by the server node the inquiry request; and according to the values of the three factors, searching the corresponding business importance normative values in the business importance table; allocating resources that match the business importance normative values and returning the inquiry result and the allocation information to the user node. The method of the invention is highly integrated with the types and numbers adjustable. The attributes priority could be adjusted and the calculation method is also simple.

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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