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@InProceedings{TononOliv:2019:MéDiDa,
               author = "Tonon, Guilherme Silva and Oliveira, Thiago Borges de",
          affiliation = "{Universidade Federal de Goi{\'a}s (UFG)} and {Universidade 
                         Federal de Goi{\'a}s (UFG)}",
                title = "Gain-Loss: m{\'e}todo de distribui{\c{c}}{\~a}o de dados para 
                         processamento distribu{\'{\i}}do de multijun{\c{c}}{\~o}es 
                         espaciais",
            booktitle = "Anais... do 20º Simp{\'o}sio Brasileiro de Geoinform{\'a}tica",
                 year = "2019",
               editor = "Lisboa Filho, Jugurta and Monteiro, Antonio Miguel Vieira",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "geoinformatica.",
             abstract = "Data distribution is a challenge in the distributed execution of 
                         multiway spatial join queries. An efficient execution requires 
                         both a balanced data distribution as well as a distribution with 
                         spatial data colocalization. In this paper, we compare two methods 
                         of spatial data distribution and propose a new one called 
                         Gain-Loss, based in the R0-tree algorithms. Our evaluation shows 
                         that Gain-Loss has a reduced area overlay between servers in all 
                         tested scenarios and also a competitive object balancing. This 
                         result indicates a more efficient execution of queries, with a 
                         reduction in the use of computational resources, mainly network 
                         usage and processing time.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "11 -13 nov. 2019",
                 issn = "2179-4847",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGPDW34R/3UFEF4B",
                  url = "http://urlib.net/rep/8JMKD3MGPDW34R/3UFEF4B",
           targetfile = "274-279.pdf",
        urlaccessdate = "24 maio 2020"
}


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