A multidimensional robust greedy algorithm for resource path finding in large-scale distributed networks

  • Authors:
  • Aida Vosoughi;Kashif Bilal;Samee Ullah Khan;Nasro Min-Allah;Juan Li;Nasir Ghani;Pascal Bouvry;Sajjad Madani

  • Affiliations:
  • North Dakota State University, Fargo, ND;COMSATS Institute of IT, Abbottabad, Pakistan;North Dakota State University, Fargo, ND;COMSATS Institute of IT, Islamabad, Pakistan;North Dakota State University, Fargo, ND;University of New Mexico, Albuquerque, NM;University of Luxembourg, Luxembourg;COMSATS Institute of IT, Abbottabad, Pakistan

  • Venue:
  • Proceedings of the 8th International Conference on Frontiers of Information Technology
  • Year:
  • 2010

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Abstract

This paper proposes a robust greedy algorithm and four of its variants for the resource path finding problem in distributed networks. In contrast to the existing solutions that rely on a single minimum cost path for each request, the proposed algorithm makes use of finding "robust" paths for each request within the network. We give a mathematical definition of robustness for the resource path finding problem in distributed networks. The four proposed variants are then compared with each other and with a traditional "non-robust" path finding algorithm. The simulation results show interesting improvement in solution quality when robustness is incorporated into the path finding algorithm for distributed networks.