IDEAS home Printed from https://ideas.repec.org/a/igg/jitn00/v7y2015i1p57-71.html
   My bibliography  Save this article

Object Architected Design and Efficient Dynamic Adjustment Mechanism of Distributed Web Crawlers

Author

Listed:
  • Cheng-Hung Tsai

    (Institute for Information Industry, Innovative DigiTech-Enabled Applications & Service Institute, Taipei, Taiwan)

  • Tsun Ku

    (Institute for Information Industry, Innovative DigiTech-Enabled Applications & Service Institute, Taipei, Taiwan)

  • Wu-Fan Chien

    (Institute for Information Industry, Innovative DigiTech-Enabled Applications & Service Institute, Taipei, Taiwan)

Abstract

As the global socialnomics rise, big data makes enterprises face the tremendous tide of data at any time. How to efficiently process, analyze these unstructured data and dig useful information from them has been an issue for every level of enterprises to face and settle. Gartner conducted a survey (Gartner CIO Agenda) over 2300 CIOs worldwide and found out that the business intelligence based on big data has been the primary issue (IBM, 2013). Hence, by understanding the above developing trend of social media, this research is mainly based on the authors' previously proposed paper in ises face the tremendous ti:Design and Implementation of a Web Crawlers Based in Social Networkst any time. How to efficiently process, analyze these unstructured data and dig useful infed architecture of web crawler. This new architecture is added with the concept of object structure for the design and implementation of the whole system. The authors will also investigate the improved object structure that brings the convenience of system maintenance.

Suggested Citation

  • Cheng-Hung Tsai & Tsun Ku & Wu-Fan Chien, 2015. "Object Architected Design and Efficient Dynamic Adjustment Mechanism of Distributed Web Crawlers," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 7(1), pages 57-71, January.
  • Handle: RePEc:igg:jitn00:v:7:y:2015:i:1:p:57-71
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijitn.2015010105
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jitn00:v:7:y:2015:i:1:p:57-71. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.