Effective Information Retrieval Algorithm for Linear Multiprocessor Architecture

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 732)

Abstract

Information retrieval is magnetizing important interest due to exponential development of the quantity of information accessible in different formats such as textual, numeric and image formats. A number of applications can be downloaded in parallel by several servers available on net using downloading applications. These applications may vary depending upon the mechanism used to improve to downloading time. One of the methods to speedup downloading is to incorporate concurrency. In this paper, a new approach for downloading files is proposed that uses a parallel architecture as a server. The server named as Linear-Crossed Cube (LCQ) is based on linear topology with all desirable topological properties. The load on the server balances dynamically. The proposed downloading algorithm is implemented, and downloading time is evaluated for number of queries. A comparative simulation study has been carried out along with the execution time to download file. The simulation results show significant improvement in the downloading time by using the proposed system.

Keywords

Information retrieval Multiprocessor architecture Server Download Load balancing 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Zaki Ahmad Khan
    • 1
  • Jamshed Siddiqui
    • 1
  • Abdus Samad
    • 2
  1. 1.Department of Computer Science, Faculty of ScienceAligarh Muslim UniversityAligarhIndia
  2. 2.University Women’s Polytechnic, Aligarh Muslim UniversityAligarhIndia

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