SCIRP Mobile Website
Paper Submission

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.


Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
Paper Publishing WeChat
Book Publishing WeChat

Article citations


Zaman, F., Hogan, G., Der Meer, S., Keeney, J., Robitzsch, S. and Muntean, G.M. (2015) A Recommender System Architecture for Predictive Telecom Network Management. IEEE Communications Magazine, 53, 286-293.

has been cited by the following article:

  • TITLE: Knowledge-Based Network Management System for Movable and Deployable ICT Resource Unit

    AUTHORS: Yusuke Tanimura, Kazuto Sasai, Gen Kitagata, Tetsuo Kinoshita

    KEYWORDS: Multi-Agent System, Knowledge-Based Network Management System, MDRU

    JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.7, May 23, 2017

    ABSTRACT: When a disaster occurs, the demand for information and communication technology (ICT) services drastically increases. To meet such demands, a national project was undertaken in Japan to develop the Movable and Deployable ICT Resource Unit (MDRU). One challenge regarding the MDRU is securing operators to work the units in emergency situations. As ICT service users have diverse and frequently changing demands, strong technical skills and practical knowledge are required for the administration of MDRUs. In this paper, we propose a knowledge-based network management system to alleviate the burden on administrators. To deal with the structural changes to network systems that frequently occur with changes in ICT service demand, we introduce modularization techniques into our previous research. The proposed system can be easily reconfigured by join/disjoin modules corresponding to changes in the system configuration of the MDRU. The results of our experiments using the implemented experimental system confirm that the proposed system can be applied to MDRU operation and effectively supports administrators.