{"title":"Using Microservices for Rapid Creation of Remote Sensing Products","authors":"Bo Xiang, Zheng Li, Yan Liu, He Zhang","doi":"10.1109/ICSA-C.2018.00037","DOIUrl":null,"url":null,"abstract":"Driven by the demands of various sensing data products, remote sensing software systems have increasingly been developed and applied to a wide range of fields. Due to the legacy monolithic product line, we used to satisfy the requirements on a project-by-project basis, only with reuse of some fundamental source codes and tools. By employing microservices to refactor our product line, we are now able to follow a divide-and-conquer strategy to maximize the reusability of component business capacities and create satellite remote sensing products at a much faster pace. This paper mainly introduces our microservice-oriented product line, and the data-analytics-visualization (DAV) pattern for logically organizing and managing relevant microservices of different products. In particular, two projects (namely archaeological detection and cultural heritage protection & urban planning and land use) are used to demonstrate how we prevent to develop thematic products from scratch.","PeriodicalId":261962,"journal":{"name":"2018 IEEE International Conference on Software Architecture Companion (ICSA-C)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Software Architecture Companion (ICSA-C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSA-C.2018.00037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Driven by the demands of various sensing data products, remote sensing software systems have increasingly been developed and applied to a wide range of fields. Due to the legacy monolithic product line, we used to satisfy the requirements on a project-by-project basis, only with reuse of some fundamental source codes and tools. By employing microservices to refactor our product line, we are now able to follow a divide-and-conquer strategy to maximize the reusability of component business capacities and create satellite remote sensing products at a much faster pace. This paper mainly introduces our microservice-oriented product line, and the data-analytics-visualization (DAV) pattern for logically organizing and managing relevant microservices of different products. In particular, two projects (namely archaeological detection and cultural heritage protection & urban planning and land use) are used to demonstrate how we prevent to develop thematic products from scratch.