Anderson Rogerio Cunha, S. S. T. D. Oliveira, Thiago Borges de Oliveira, E. L. Aleixo, Marcelo de Castro Cardoso, Vagner José do Sacramento Rodrigues
{"title":"Distributed Spatial Join Processing for Multiple Spatial Datasets - Multi-way Spatial Join","authors":"Anderson Rogerio Cunha, S. S. T. D. Oliveira, Thiago Borges de Oliveira, E. L. Aleixo, Marcelo de Castro Cardoso, Vagner José do Sacramento Rodrigues","doi":"10.1109/SBRC.2015.29","DOIUrl":null,"url":null,"abstract":"This paper proposes the Distributed Synchronous Traversal algorithm (DST) for distributed processing of spatial join with multiple datasets (Multi-way Spatial Join). It was evaluated over clusters up to eight servers, and just like the Synchronous Traversal algorithm, performs spatial join by synchronously traversing the input R-Trees. The experiments results on real datasets have shown that the algorithm provides a satisfactory degree of horizontal scalability.","PeriodicalId":307266,"journal":{"name":"2015 XXXIII Brazilian Symposium on Computer Networks and Distributed Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 XXXIII Brazilian Symposium on Computer Networks and Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBRC.2015.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes the Distributed Synchronous Traversal algorithm (DST) for distributed processing of spatial join with multiple datasets (Multi-way Spatial Join). It was evaluated over clusters up to eight servers, and just like the Synchronous Traversal algorithm, performs spatial join by synchronously traversing the input R-Trees. The experiments results on real datasets have shown that the algorithm provides a satisfactory degree of horizontal scalability.