A software microservice composition optimization method for edge cloud system

Abstract

The invention discloses a software microservice combination optimization method for edge cloud systems. The invention resets the step size factor and the attractiveness formula, fully exerts the detection ability of the step size factor in the early stage of the algorithm, and balances local search and Global search; use the characteristics of microservices to classify microservices, and classify services with the same input and output into the same class, thereby reducing the number of combinations and making it possible to completely enumerate all combination schemes; in the combination algorithm, use Cotangent initialization and cotangent perturbation replace random initialization and random perturbation, improve the initialization and update of the microservice combination scheme, and greatly increase the diversity of the final combination scheme; at the same time, the present invention stores the service registration center through the concept of hash tree The hash of the service attribute value is saved as a hash root, so as to ensure the safety and reliability of each service quality attribute value stored in the service registration center.

Description

technical field [0001] The invention relates to the technical fields of information integration and software engineering application, in particular to an edge cloud system-oriented software microservice combination optimization method. Background technique [0002] Since the emergence of "microservice architecture", the design of software application systems has shifted towards the way of several sets of independently deployable services. Compared with the traditional monolithic development style, microservices focus more on developing an independent application system by developing a set of small services, each of which runs in its own process. These services are built around business functions and can be deployed independently through a fully automated deployment mechanism. [0003] A monolithic application is built as a single unit. As more and more application systems are deployed to the cloud, software changes are greatly restricted. Once a part of the application sys...

AI Technical Summary

Problems solved by technology

[0010] 1) As the number of microservices increases, the amount of calculation increases exponentially, so the efficiency of solving optimization problems is low;

[0011] 2) In the process of searching for the optimal solution, the random search strategy cannot guarantee the diversity of the final solution, and a new search strategy is needed;

[0014] 5) The data stored in the service registration center may be subject to malicious attacks at any time. The most important thing is to tamper with the service attribute values. It is also a very important issue to ensure that the service quality attribute values ​​stored in the service registration center are safe and reliable.

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