Running Time Prediction for Web Search Queries

Conference paper

DOI: 10.1007/978-3-319-32152-3_20

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9574)
Cite this paper as:
Rojas O., Gil-Costa V., Marin M. (2016) Running Time Prediction for Web Search Queries. In: Wyrzykowski R., Deelman E., Dongarra J., Karczewski K., Kitowski J., Wiatr K. (eds) Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science, vol 9574. Springer, Cham


Large scale Web search engines have to process thousands of queries per second and each query has to be solved within a fraction of a second. To achieve this goal, search engines rely on sophisticated services capable of processing large amounts of data. One of these services is the search service (or index service) which is in charge of computing the top-k document results for user queries. Predicting in advance the response time of queries has practical applications in efficient administration of hardware resources assigned to query processing. In this paper, we propose and evaluate a query running time prediction algorithm that is based on a discrete Fourier transform which models the index as a collection of signals to obtain patterns. Results show that our approach performs at least as effectively as well-known prediction algorithms in the literature, while significantly improving computational efficiency.


WAND Inverted files Multi-threading 

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Oscar Rojas
    • 1
    • 2
  • Veronica Gil-Costa
    • 1
    • 2
  • Mauricio Marin
    • 1
    • 2
  1. 1.CITIAPS, DIINFUniversity of SantiagoSantiagoChile
  2. 2.Center for Biotechnology and BioengineeringSantiagoChile

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