Name
Abstract | ||
|---|---|---|
Unlike Database Management Systems (DBMSs), Data Stream Management Systems (DSMSs) do not evaluate queries over static data sets - rather, they continuously produce result streams to standing queries, and often operate in a context where any interruption can lead to data loss. Support for schema evolution in such an environment is currently unaddressed. In this work we address evolution in DSMSs by introducing a new element to streams, called an accent, that precedes and describes an evolution. We characterize how a subset of commonly used query operators in DSMS act on and propagate accents with respect to three evolution primitives: Add Attribute, Drop Attribute, and Alter Data. |
Year | Venue | Keywords |
|---|---|---|
2010 | JOURNAL OF UNIVERSAL COMPUTER SCIENCE | data streams,schema evolution |
Field | DocType | Volume |
Data mining,Static data,Data loss,Computer science,Data stream,Operator (computer programming),Schema evolution,Management system,Database | Journal | 16 |
Issue | ISSN | Citations |
20 | 0948-695X | 1 |
PageRank | References | Authors |
0.39 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| James F. Terwilliger | 1 | 198 | 12.35 |
| Rafael J. Fernandez-Moctezuma | 2 | 4 | 0.78 |
| Lois M. L. Delcambre | 3 | 992 | 420.78 |
| David Maier | 4 | 5639 | 1666.90 |