Efficiency Optimization for Communication Service Based on QoS Technology

The Internet of Things technology has gradually become a research hotspot. Communication service enterprises are the basic enterprises for social network communication. Only by improving the quality and efficiency of communication service enterprises can we bring more reliable communication guarantees to the whole society, and more and more people can enjoy the convenience brought by high technology. Due to the dynamic changes of the environment and the complex demand problems faced by the Internet of Things technology, the integration of information services is very demanding, which in turn affects the efficiency of communication services. As a typical technical architecture for improving the efficiency of communication services, the integration of Web services and IoT technology has become the key to the integration of IoT information services. The traditional QoS-based Web combination scheme has greatly improved in meeting user requirements, there are still some problems in the security and reliability of communication services, and there are also some defects in meeting the accuracy of user requirements. Therefore, based on the above problems, this paper innovatively proposes an algorithm (QoS) combining security computing and quality of service to improve security credibility and communication service efficiency. In the process, it is mainly based on the optimized cuckoo algorithm. In order to match the accuracy, this paper proposes a multi-strategy semantic matching algorithm, which is mainly based on semantic similarity algorithm for optimization. The experimental results show that the QoS-based Web portfolio optimization algorithm cannot only meet the user's quality requirements but also solve the security and credibility problems.