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Exploiting Fine Grained Parallelism for Acceleration of Web Retrieval

  • Junli Yuan
  • Chi-Hung Chi
  • Qibin Sun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3597)

Abstract

The World Wide Web is the most popular application of the Internet. Web retrieval latency is one of the most important issues in web services and applications. With the increasing number of digital materials appearing in web pages, there emerges a special issue regarding the acceleration of pages containing big web objects. Existing acceleration mechanisms are not effective in this aspect. In this paper, we propose a fine-grained Intra-Object Parallelism (IOP) to address this problem. Our results show that this mechanism can achieve significant improvement on retrieval latency for big objects.

Keywords

Retrieval Process Object Size Large Object Connection Time Digital Material 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Junli Yuan
    • 1
    • 2
  • Chi-Hung Chi
    • 2
    • 3
  • Qibin Sun
    • 1
  1. 1.Institute for Infocomm ResearchSingapore
  2. 2.School of ComputingNational University of SingaporeSingapore
  3. 3.School of SoftwareTsinghua UniversityBeijing

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