Research on Optimization Method of Computer Network Service Quality Based on Feature Matching Algorithm

Abstract

On the whole, the main basis for strengthening the quality of network service is the construction of network system, reasonable arrangement of network and adjustment of information resources. In order to enhance the quality of network services, we should minimize the problems. In order to improve the quality of network, we should study more new network technologies and make up for network loopholes in time. In this study, in order to solve the efficiency problem brought by mass candidate services to quality-aware service selection, a service selection strategy based on feature matching algorithm is proposed. Based on statistical method, a probability matrix describing the mapping relationship between quality demand pattern and quality-oriented service pattern is established, and the service selection algorithm is improved by using the probability matrix. A series of experiments on artificial simulated data sets generated from real service data sets prove the feasibility and effectiveness of the proposed method.

Environmental Quality Optimization of Sustainable Rural Revitalization Strategy Based on Improved Genetic Algorithm

“…Jia et al [9] emphasized that the living environment should be people-centered and focus on regional and natural views, advocating urban planning and human settlement construction [9]. Lu et al [10] first put forward the concept of "human settlement environment." ey creatively combined systems theory, cybernetics, information theory, ecology, and other multidisciplinary theories and applied them to the study of the human settlement environment.…”

“…ey creatively combined systems theory, cybernetics, information theory, ecology, and other multidisciplinary theories and applied them to the study of the human settlement environment. It is emphasized that all human settlements, including villages, towns, and cities, can be studied as a whole, which marks the formation of human settlements science with urban planning as the core [10]. Zhou et al [11] proposed the classical agricultural location theory, he systematically analyzed the spatial distance relationship between the production location and the consumption location, and a concentric circle-layered rural structure is obtained [11].…”

Application of BP Neural Network in Matching Algorithm of Network E-Commerce Platform

“…Lu et al presented an entity matching method based on distance. The main task of this method is to give appropriate weights to the attributes of each describing entity [2]. Liu stated that based on the idea of reducing the solution space of the genetic algorithm by constructing the feature ellipse of feature point set and the parallel mechanism of genetic algorithm, a feature point matching algorithm based on genetic algorithm search strategy under affine transformation is proposed [3].…”

Research on Optimization Strategy of Task Scheduling Software Based on Genetic Algorithm in Cloud Computing Environment

“…This mature application facilitates users to provide efficient performance, simple mode, easy to expand, stable, and reliable computing and storage services. For the user of cloud computing system, he does not need to know where the resources he uses come from but only needs a simple link and a client-side way to buy the cloud computing resources or cloud computing service information he wants according to his own needs [3]. Users use this information based on the amount of use, according to the need to pay (Figure 1).…”