2nd International ICST Conference on Broadband Networks

Research Article

QoS-constrained core selection for group communication

  • @INPROCEEDINGS{10.1109/ICBN.2005.1589701,
        author={Ayşe Karaman and Hossam Hassanein},
        title={QoS-constrained core selection for group communication},
        proceedings={2nd International ICST Conference on Broadband Networks},
        publisher={IEEE},
        proceedings_a={BROADNETS},
        year={2006},
        month={2},
        keywords={},
        doi={10.1109/ICBN.2005.1589701}
    }
    
  • Ayşe Karaman
    Hossam Hassanein
    Year: 2006
    QoS-constrained core selection for group communication
    BROADNETS
    IEEE
    DOI: 10.1109/ICBN.2005.1589701
Ayşe Karaman1,*, Hossam Hassanein2,*
  • 1: Department of Computer Science and Engineering, Işık University, Şile, İstanbul, Türkiye
  • 2: Telecommunications Research Lab, School of Computing, Queen’s University, Kingston, ON K7L 3N6, Canada
*Contact email: karaman_ayse@isikun.edu.tr , hossam@cs.queensu.ca

Abstract

The core-based approach in multipoint communication enhances the solution space in terms of QoS-efficiency of solutions in inter and intra-domain routing. In an earlier work (A. Karaman and H.S. Hassanein, 2004), we showed that the constrained cost minimization solutions in core-based approach proposed to date are restrictive in their search to a subrange of solutions, and we proposed SPAN, a generic framework to process in our identified extended solution space. In this paper, we study the core selection component of SPAN and propose two novel algorithms, SPAN/COST and SPAN/ADJUST, which define the core-selection component of SPAN. SPAN/COST mainly optimizes the cost distances to be traveled between the source-core and core-receiver pairs on the multicast trees, while SPAN/ADJUST selects the cores based on the numbers of nodes they dominate and adjusting the set based on cost. Our algorithms consistently outperform their counterparts proposed to date and can be considered pioneering in their optimization range of multiple metrics and processing in the extended solution space