Distributed method for crossmatching of astronomical catalogs based on apache spark platform

dc.contributor.author	Glotov E.
dc.contributor.author	Gerasimov S.
dc.contributor.author	Meshcheryakov A.
dc.date.accessioned	2018-09-19T21:31:07Z
dc.date.available	2018-09-19T21:31:07Z
dc.date.issued	2016
dc.identifier.issn	1613-0073
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/144089
dc.description.abstract	Copyright © 2016 for the individual papers by the papers' authors.In the article ? horizontally-scalable algorithm for matching astronomical catalogs, based on Apache Spark, distributed computing platform, is proposed. The method provides the necessary accuracy and good performance compared to the best systems available in the astronomical community. Horizontal scalability of the proposed method was confirmed by experiments on a cluster deployed in the Microsoft Azure cloud service.
dc.relation.ispartofseries	CEUR Workshop Proceedings
dc.subject	Apache Spark
dc.subject	Astronomical catalogs
dc.subject	Cloud computing
dc.subject	Cross-matching
dc.subject	Distributed computing
dc.subject	HEALPix
dc.title	Distributed method for crossmatching of astronomical catalogs based on apache spark platform
dc.type	Conference Paper
dc.relation.ispartofseries-volume	1763
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	153
dc.source.id	SCOPUS16130073-2016-1763-SID85009355102

Files in this item

Size: 43.35Kb

Format: PDF

Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.