A New Framework for Join Product Skew

Afrati, F; Kyritsis, V; Lekeas, P; Souliou, D

dc.contributor.author	Afrati, F	en
dc.contributor.author	Kyritsis, V	en
dc.contributor.author	Lekeas, P	en
dc.contributor.author	Souliou, D	en
dc.date.accessioned	2014-03-01T01:59:01Z
dc.date.available	2014-03-01T01:59:01Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28824
dc.relation.uri	http://arxiv.org/abs/1005.5732	en
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/journals/corr/corr1005.html#abs-1005-5732	en
dc.subject	Data Distribution	en
dc.subject	Sum of Products	en
dc.title	A New Framework for Join Product Skew	en
heal.type	journalArticle	en
heal.publicationDate	2010	en
heal.abstract	Different types of data skew can result in load imbalance in the context ofparallel joins under the shared nothing architecture. We study one importanttype of skew, join product skew (JPS). A static approach based on frequencyclasses is proposed which takes for granted the data distribution of joinattribute values. It comes from the observation that the join	en
heal.journalName	Computing Research Repository	en