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  Best Effort Top-K Query Processing Under Budgetary Constraints

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-18F8-0 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-34BB-2
Genre: Conference Paper

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 Creators:
Shmueli-Scheuer, Michal1, Author           
Li, Chen2, Author
Mass, Yosi2, Author
Roitman, Haggai2, Author
Schenkel, Ralf1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2009
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 520435
Other: Local-ID: C1256DBF005F876D-3D5E15B84ADBCC48C12574CD00494CC6-ShmueliSLMRSW09
 Degree: -

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Title: 25th IEEE International Conference on Data Engineering
Place of Event: Shanghai, China
Start-/End Date: 2009-03-29 - 2009-04-04

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Title: Proceedings of the 25th IEEE International Conference on Data Engineering
  Abbreviation : ICDE 2009
Source Genre: Proceedings
 Creator(s):
Ioannidis, Yannis1, Editor
Lee, Dik1, Editor
Ng, Raymong1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Los Alamitos, CA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 928 - 939 Identifier: ISBN: 978-0-7695-3545-6