{"title":"重新思考RDMA和NVM上的消息代理","authors":"Hendrik Makait","doi":"10.1145/3318464.3384403","DOIUrl":null,"url":null,"abstract":"Over the last years, message brokers have become an important part of enterprise systems. As microservice architectures gain popularity and the need to analyze data produced by these services grows, companies increasingly rely on message brokers to orchestrate the flow of events between different applications as well as between data-producing services and streaming engines that analyze the data in real-time.","PeriodicalId":436122,"journal":{"name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Rethinking Message Brokers on RDMA and NVM\",\"authors\":\"Hendrik Makait\",\"doi\":\"10.1145/3318464.3384403\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the last years, message brokers have become an important part of enterprise systems. As microservice architectures gain popularity and the need to analyze data produced by these services grows, companies increasingly rely on message brokers to orchestrate the flow of events between different applications as well as between data-producing services and streaming engines that analyze the data in real-time.\",\"PeriodicalId\":436122,\"journal\":{\"name\":\"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3318464.3384403\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3318464.3384403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Over the last years, message brokers have become an important part of enterprise systems. As microservice architectures gain popularity and the need to analyze data produced by these services grows, companies increasingly rely on message brokers to orchestrate the flow of events between different applications as well as between data-producing services and streaming engines that analyze the data in real-time.