Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Konferenzbeitrag

Best Effort Top-K Query Processing Under Budgetary Constraints

MPG-Autoren
/persons/resource/persons45382

Shmueli-Scheuer,  Michal
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons45380

Schenkel,  Ralf
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons45720

Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Shmueli-Scheuer, M., Li, C., Mass, Y., Roitman, H., Schenkel, R., & Weikum, G. (2009). Best Effort Top-K Query Processing Under Budgetary Constraints. In Y. Ioannidis, D. Lee, & R. Ng (Eds.), Proceedings of the 25th IEEE International Conference on Data Engineering (pp. 928-939). Los Alamitos, CA: IEEE.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-000F-18F8-0
Zusammenfassung
We consider a novel problem of top-k query processing under budget constraints. We provide both a framework and a set of algorithms to address this problem. Existing algorithms for top-k processing are budget-oblivious, i.e., they do not take budget constraints into account when making scheduling decisions, but focus on the performance to compute the final top-k results. Under budget constraints, these algorithms therefore often return results that are a lot worse than the results that can be achieved with a clever, budget-aware scheduling algorithm. This paper introduces novel algorithms for budget-aware top-k processing that produce results that are significantly better than those of state-of-the-art budget-obvlivious solutions.