{"title":"Goal Modelling Meets Service Choreography: A Graph Transformation Approach","authors":"Michalis Bachras, K. Kontogiannis","doi":"10.1109/EDOC49727.2020.00014","DOIUrl":null,"url":null,"abstract":"As microservices become one of the predominant architectural styles for distributed enterprise computing, there is a need to devise frameworks which allow for the goal driven composition and coordination of such highly granular service components. Even though a number of service composition and orchestration techniques have been proposed over the past decade, these do not take into account stakeholders’ intents as well as data, control, and temporal interdependencies between actions microservices can perform. In this paper, we present extensions to goal models with respect to data, logical and temporal dependencies exhibited between tasks and actions among microservices, and we propose a framework based on a graph transformation approach which, when applied to the extended goal models, can yield service invocation plans that achieve the desired requirements and constraints denoted by the specific goal models being considered.","PeriodicalId":409420,"journal":{"name":"2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"490 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDOC49727.2020.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
As microservices become one of the predominant architectural styles for distributed enterprise computing, there is a need to devise frameworks which allow for the goal driven composition and coordination of such highly granular service components. Even though a number of service composition and orchestration techniques have been proposed over the past decade, these do not take into account stakeholders’ intents as well as data, control, and temporal interdependencies between actions microservices can perform. In this paper, we present extensions to goal models with respect to data, logical and temporal dependencies exhibited between tasks and actions among microservices, and we propose a framework based on a graph transformation approach which, when applied to the extended goal models, can yield service invocation plans that achieve the desired requirements and constraints denoted by the specific goal models being considered.