Adaptive evolution method of cloud service system based on improved wolf pack algorithm

Abstract

The invention discloses an adaptive evolution method of a cloud service system based on an improved wolf pack algorithm. The method can be used to quickly and efficiently complete the adaptive evolution of a cloud service system, and includes the following steps: S1. Constructing a candidate subset of a cloud service system; S2 .The artificial wolf coding of the cloud service system; S3.Defining the fitness function of the self-adaptive evolution of the cloud service system;S4.Using the information entropy to initialize the wolves;S5.Wandering of the cloud service system;S6.The call of the cloud service system;S7 Siege of the cloud service system; S8. Update the position of the wolf leader; S9. Update the pack of wolves; S10. Judgment of the termination condition; S11. Output the target cloud service system corresponding to the location of the wolf leader.

Description

technical field [0001] The invention relates to the technical field of cloud service evolution, in particular to an adaptive evolution method of a cloud service system based on an improved wolf pack algorithm. Background technique [0002] With the rapid development of information technology, people ushered in a new round of technological change. In 2006, Google proposed the concept of "cloud computing" at the search engine conference, drawing on distributed computing thinking, and using computer clusters as data and computing centers. , by virtualizing IT computing resources and providing them to users through the network as a service, cloud computing supports large-scale high-performance computing, data processing and shared resource pools, and reduces user operation and maintenance costs. In recent years, cloud computing has developed rapidly and gradually become the mainstream application environment. In cloud computing, computing, software, storage and other IT resourc...

AI Technical Summary

Problems solved by technology

In the past, the following problems often occurred when solving the problem of adaptive evolution of cloud service systems: First, the evolution efficiency is relatively low

This is because there are a large number of candidate cloud services with the same or similar functions in the cloud environment, which consumes a lot of time in the evolution process of cloud services

Second, the factors considered in the evolution of cloud services are not comprehensive enough

As we all know, in an open and dynamic cloud environment, cloud services have complex non-functional attributes. Most of the research on cloud service evolution in the past only considered the functional requirements of cloud services, resulting in unsatisfactory results of cloud service evolution.

Images