Name
Abstract | ||
|---|---|---|
Consider a continuous query where a user wants to be informed when the net worth of his/her stock portfolio changes by more than a specified threshold. In this paper we develop a data dissemination technique for the Web where (a) such queries access data from multiple sources and (b) the HTTP protocol - which is inherently pull based - is used for accessing the sources. Key challenges in supporting such queries - which also arise in a diverse set of contexts including monitoring of patients, network traffic, and experiments - lie in meeting users' consistency requirements while minimizing network and server overheads, without the loss of fidelity in the responses provided to users. We also show the superior performance of our technique when compared to alternatives based on periodic independent polling of the sources. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/RIDE.2002.995099 | San Jose, CA |
Keywords | Field | DocType |
Internet,financial data processing,information resources,query processing,stock markets,transport protocols,HTTP,Internet,World Wide Web,consistency requirements,continuous query,data dissemination technique,financial Web sites,network overheads,performance,protocol,server overheads,stock portfolio | Data mining,Fidelity,World Wide Web,Computer science,Polling,Dissemination,Information engineering,Hypertext Transfer Protocol,Maintenance engineering,Database,Web server,The Internet | Conference |
ISSN | ISBN | Citations |
1066-1395 | 0-7695-1480-4 | 5 |
PageRank | References | Authors |
0.95 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manish Bhide | 1 | 253 | 19.07 |
| Krithi Ramamritham | 2 | 4975 | 936.38 |
| Prashant J. Shenoy | 3 | 6386 | 521.30 |