Terminal Micro-service Discovery Algorithm based on attractor model

In the intensive computing scenario with the application of micro-service framework, it is too costly to allocate resources centrally to the micro-service instance on the server side, and it cannot adapt to the changes of the environment in real time. Therefore, allocating resource for micro-service instance distributed on the terminal becomes an effective way to solve the problem mentioned above. A client-based micro-service discovery algorithm with attractor selection model is proposed in this paper, which has the characters of simple and intelligent evolution. At first, this paper models micro-service discovery problem, defines optimization object and constraints; then, it re-defines the parameters of attractor selection and proposes the client-based micro-service discovery algorithm with attractor selection model; and at last, it analyzes the performance of the proposed algorithm with the compared ones in the really productive environment. The experiment results show that the proposed algorithm reduces almost 32 % resource fragments and 70% running time than the compared ones.