David Navalho, S. Duarte, Nuno M. Preguiça, M. Shapiro
{"title":"Incremental stream processing using computational conflict-free replicated data types","authors":"David Navalho, S. Duarte, Nuno M. Preguiça, M. Shapiro","doi":"10.1145/2460756.2460762","DOIUrl":null,"url":null,"abstract":"Information has become a key commodity for most service providers. Analyzing streams of data efficiently, in real time, has become increasingly more important for supporting new products and applications.\n This paper outlines a novel abstraction for performing incremental stream processing based on Computational Conflict-free Replicated Data Types. C-CRDTs are replicated objects that can be updated concurrently without coordination to perform a computation and still converge to a consistent state that reflects all contributions.\n Results obtained with a preliminary prototype show that C-CRDTs have the potential to match and improve computational throughput when compared with a state of the art stream processing system.","PeriodicalId":205924,"journal":{"name":"CloudDP '13","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CloudDP '13","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2460756.2460762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Information has become a key commodity for most service providers. Analyzing streams of data efficiently, in real time, has become increasingly more important for supporting new products and applications.
This paper outlines a novel abstraction for performing incremental stream processing based on Computational Conflict-free Replicated Data Types. C-CRDTs are replicated objects that can be updated concurrently without coordination to perform a computation and still converge to a consistent state that reflects all contributions.
Results obtained with a preliminary prototype show that C-CRDTs have the potential to match and improve computational throughput when compared with a state of the art stream processing system.