A search-based identification of variable microservices for enterprise SaaS

作     者：Sedigheh KHOSHNEVIS Sedigheh KHOSHNEVIS

作者机构：Department of Computer EngineeringShahr-e-Qods BranchIslamic Azad UniversityTehran ***Iran 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2023年第17卷第3期

页      面：29-44页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This research was granted support by Islamic Azad University Shahr-e-Qods Branch[project ID:DP/97/210] 

主　　题：SaaS cloud computing microservice searchbased software engineering MOEA/D 

摘      要：Recently,SaaS applications are developed as a composition of microservices that serve diverse tenants having similar but different requirements,and hence,can be developed as variability-intensive *** identification of these microservices is difficult,time-consuming,and costly,since,they have to satisfy a set of quality metrics for several SaaS architecture configurations at the same *** this paper,we tackle the multi-objective optimization problem of identifying variable microservices aiming optimal granularity(new metric proposed),commonality,and data convergence,with a search-based approach employing the MOEA/D *** empirically and experimentally evaluated the proposed method following the Goal-Question-Metric *** results show that the method is promising in identifying fully consistent,highly reusable,variable microservices with an acceptable multi-tenancy ***,the identified microservices,although not structurally very similar to those identified by the expert architects,provide design quality measures(granularity,etc.)close to(and even better than)the experts.