Brown Dwarf: A P2P data-warehousing system

Doka, K; Tsoumakos, D; Koziris, N

dc.contributor.author	Doka, K	en
dc.contributor.author	Tsoumakos, D	en
dc.contributor.author	Koziris, N	en
dc.date.accessioned	2014-03-01T02:46:42Z
dc.date.available	2014-03-01T02:46:42Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32799
dc.subject	Data cube	en
dc.subject	Data warehousing	en
dc.subject	Distributed computing	en
dc.subject	Peer-to-peer	en
dc.subject.other	Brown dwarfs	en
dc.subject.other	Data cube	en
dc.subject.other	Data sets	en
dc.subject.other	Data warehousing	en
dc.subject.other	Data-warehousing system	en
dc.subject.other	Distributed Computing	en
dc.subject.other	Distributed systems	en
dc.subject.other	Hardware and software components	en
dc.subject.other	Hardware failures	en
dc.subject.other	IS costs	en
dc.subject.other	Multidimensional data	en
dc.subject.other	On-the-fly	en
dc.subject.other	Peer to peer	en
dc.subject.other	Data warehouses	en
dc.subject.other	Distributed computer systems	en
dc.subject.other	Geometry	en
dc.subject.other	Knowledge management	en
dc.subject.other	Stars	en
dc.subject.other	Systems analysis	en
dc.subject.other	Warehouses	en
dc.subject.other	Peer to peer networks	en
dc.title	Brown Dwarf: A P2P data-warehousing system	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/1871437.1871777	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1871437.1871777	en
heal.publicationDate	2010	en
heal.abstract	In this demonstration we present the Brown Dwarf, a distributed system designed to efficiently store, query and update multidimensional data. Deployed on any number of commodity nodes, our system manages to distribute large volumes of data over network peers on-the-fly and process queries and updates on-line through cooperating nodes that hold parts of a materialized cube. Moreover, it adapts its resources according to demand and hardware failures and is cost-effective both over the required hardware and software components. All the aforementioned functionality will be tested using various datasets and query loads.	en
heal.journalName	International Conference on Information and Knowledge Management, Proceedings	en
dc.identifier.doi	10.1145/1871437.1871777	en
dc.identifier.spage	1945	en
dc.identifier.epage	1946	en