{"title":"关于流运行时验证和聚合编程","authors":"Ferruccio Damiani, G. Torta","doi":"10.1145/3605159.3605854","DOIUrl":null,"url":null,"abstract":"Stream Runtime Verification (SRV) has been recently proposed for monitoring input streams of data while producing output streams in response. The Aggregate Programming (AP) paradigm for collection of distributed devices has been used to implement distributed runtime verification of spatial and temporal Boolean properties. In this paper we outline how distributed SRV could be implemented by AP and the new opportunities AP could bring to the field of distributed SRV.","PeriodicalId":365047,"journal":{"name":"Proceedings of the 6th International Workshop on Verification and Monitoring at Runtime Execution","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Stream Runtime Verification and Aggregate Programming\",\"authors\":\"Ferruccio Damiani, G. Torta\",\"doi\":\"10.1145/3605159.3605854\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stream Runtime Verification (SRV) has been recently proposed for monitoring input streams of data while producing output streams in response. The Aggregate Programming (AP) paradigm for collection of distributed devices has been used to implement distributed runtime verification of spatial and temporal Boolean properties. In this paper we outline how distributed SRV could be implemented by AP and the new opportunities AP could bring to the field of distributed SRV.\",\"PeriodicalId\":365047,\"journal\":{\"name\":\"Proceedings of the 6th International Workshop on Verification and Monitoring at Runtime Execution\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Workshop on Verification and Monitoring at Runtime Execution\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3605159.3605854\",\"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 6th International Workshop on Verification and Monitoring at Runtime Execution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3605159.3605854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On Stream Runtime Verification and Aggregate Programming
Stream Runtime Verification (SRV) has been recently proposed for monitoring input streams of data while producing output streams in response. The Aggregate Programming (AP) paradigm for collection of distributed devices has been used to implement distributed runtime verification of spatial and temporal Boolean properties. In this paper we outline how distributed SRV could be implemented by AP and the new opportunities AP could bring to the field of distributed SRV.