{"title":"Spinning relations: high-speed networks for distributed join processing","authors":"P. Frey, R. Goncalves, M. Kersten, J. Teubner","doi":"10.1145/1565694.1565701","DOIUrl":null,"url":null,"abstract":"By leveraging modern networking hardware (RDMA-enabled network cards), we can shift priorities in distributed database processing significantly. Complex and sophisticated mechanisms to avoid network traffic can be replaced by a scheme that takes advantage of the bandwidth and low latency offered by such interconnects.\n We illustrate this phenomenon with cyclo-join, an efficient join algorithm based on continuously pumping data through a ring-structured network. Our approach is capable of exploiting the resources of all CPUs and distributed main-memory available in the network for processing queries of arbitrary shape and datasets of arbitrary size.","PeriodicalId":298901,"journal":{"name":"International Workshop on Data Management on New Hardware","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Data Management on New Hardware","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1565694.1565701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 36
Abstract
By leveraging modern networking hardware (RDMA-enabled network cards), we can shift priorities in distributed database processing significantly. Complex and sophisticated mechanisms to avoid network traffic can be replaced by a scheme that takes advantage of the bandwidth and low latency offered by such interconnects.
We illustrate this phenomenon with cyclo-join, an efficient join algorithm based on continuously pumping data through a ring-structured network. Our approach is capable of exploiting the resources of all CPUs and distributed main-memory available in the network for processing queries of arbitrary shape and datasets of arbitrary size.