Issues in data stream management Export

@article{citeulike:267625, abstract = {Traditional databases store sets of relatively static records with no pre-defined notion of time, unless timestamp attributes are explicitly added. While this model adequately represents commercial catalogues or repositories of personal information, many current and emerging applications require support for on-line analysis of rapidly changing data streams. Limitations of traditional DBMSs in supporting streaming applications have been recognized, prompting research to augment existing technologies and build new systems to manage streaming data. The purpose of this paper is to review recent work in data stream management systems, with an emphasis on application requirements, data models, continuous query languages, and query evaluation.}, address = {New York, NY, USA}, author = {Golab, Lukasz and \"{o}zsu, M. Tamer}, citeulike-article-id = {267625}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=776986}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/776985.776986}, citeulike-linkout-2 = {http://darwell.uwaterloo.ca/~ddbms/publications/stream/streamsurvey.pdf}, citeulike-linkout-3 = {http://research.att.com/~lgolab/publications.php}, doi = {10.1145/776985.776986}, issn = {0163-5808}, journal = {SIGMOD Rec.}, keywords = {data\_streams, survey}, month = {June}, number = {2}, pages = {5--14}, posted-at = {2007-11-15 19:18:02}, priority = {2}, publisher = {ACM}, title = {Issues in data stream management}, url = {http://dx.doi.org/10.1145/776985.776986}, volume = {32}, year = {2003} }

TY - JOUR ID - citeulike:267625 L3 - citeulike-article-id:267625 N2 - Traditional databases store sets of relatively static records with no pre-defined notion of time, unless timestamp attributes are explicitly added. While this model adequately represents commercial catalogues or repositories of personal information, many current and emerging applications require support for on-line analysis of rapidly changing data streams. Limitations of traditional DBMSs in supporting streaming applications have been recognized, prompting research to augment existing technologies and build new systems to manage streaming data. The purpose of this paper is to review recent work in data stream management systems, with an emphasis on application requirements, data models, continuous query languages, and query evaluation. IS - 2 JF - SIGMOD Rec. SN - 0163-5808 AD - New York, NY, USA EP - 14 TI - Issues in data stream management PB - ACM VL - 32 SP - 5 KW - data_streams KW - survey AU - Golab, Lukasz AU - \"{o}zsu, Tamer PY - 2003/06// UR - http://dx.doi.org/10.1145/776985.776986 ER -