{"title":"选择云微服务的视角","authors":"Marcelo França, C. Werner","doi":"10.1109/ICSA-C.2018.00023","DOIUrl":null,"url":null,"abstract":"In the era of Cloud platforms, microservices have multiplied, becoming a de facto standard for software reuse. With so many alternatives, a challenge still open is to find the most adequate one, given a set of requirements and priorities. In this context, we present DIRECTOR, a Cloud microservice selection framework based on different perspectives: technical, social and semantical. Emerging results prove that it can support software acquisition via discovery and comparison of microservices, being able to recommend the fittest among hundreds of candidates.","PeriodicalId":261962,"journal":{"name":"2018 IEEE International Conference on Software Architecture Companion (ICSA-C)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Perspectives for Selecting Cloud Microservices\",\"authors\":\"Marcelo França, C. Werner\",\"doi\":\"10.1109/ICSA-C.2018.00023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the era of Cloud platforms, microservices have multiplied, becoming a de facto standard for software reuse. With so many alternatives, a challenge still open is to find the most adequate one, given a set of requirements and priorities. In this context, we present DIRECTOR, a Cloud microservice selection framework based on different perspectives: technical, social and semantical. Emerging results prove that it can support software acquisition via discovery and comparison of microservices, being able to recommend the fittest among hundreds of candidates.\",\"PeriodicalId\":261962,\"journal\":{\"name\":\"2018 IEEE International Conference on Software Architecture Companion (ICSA-C)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"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.2018.00023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","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.2018.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In the era of Cloud platforms, microservices have multiplied, becoming a de facto standard for software reuse. With so many alternatives, a challenge still open is to find the most adequate one, given a set of requirements and priorities. In this context, we present DIRECTOR, a Cloud microservice selection framework based on different perspectives: technical, social and semantical. Emerging results prove that it can support software acquisition via discovery and comparison of microservices, being able to recommend the fittest among hundreds of candidates.
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