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IEICE TRANSACTIONS on Communications

Open Access
Efficient Reliability Evaluation of Multi-Domain Networks with Secure Intra-Domain Privacy

Atsushi TANIGUCHI, Takeru INOUE, Kohei MIZUNO, Takashi KURIMOTO, Atsuko TAKEFUSA, Shigeo URUSHIDANI

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Summary :

Communication networks are now an essential infrastructure of society. Many services are constructed across multiple network domains. Therefore, the reliability of multi-domain networks should be evaluated to assess the sustainability of our society, but there is no known method for evaluating it. One reason is the high computation complexity; i.e., network reliability evaluation is known to be #P-complete, which has prevented the reliability evaluation of multi-domain networks. The other reason is intra-domain privacy; i.e., network providers never disclose the internal data required for reliability evaluation. This paper proposes a novel method that computes the lower and upper bounds of reliability in a distributed manner without requiring privacy disclosure. Our method is solidly based on graph theory, and is supported by a simple protocol that secures intra-domain privacy. Experiments on real datasets show that our method can successfully compute the reliability for 14-domain networks in one second. The reliability is bounded with reasonable errors; e.g., bound gaps are less than 0.1% for reliable networks.

Publication
IEICE TRANSACTIONS on Communications Vol.E103-B No.4 pp.440-451
Publication Date
2020/04/01
Publicized
2019/09/27
Online ISSN
1745-1345
DOI
10.1587/transcom.2019EBP3119
Type of Manuscript
PAPER
Category
Network Management/Operation

Authors

Atsushi TANIGUCHI
  Graduate University for Advanced Studies (SOKENDAI),NTT Corporation
Takeru INOUE
  NTT Corporation
Kohei MIZUNO
  NTT Corporation
Takashi KURIMOTO
  Graduate University for Advanced Studies (SOKENDAI),National Institute of Informatics
Atsuko TAKEFUSA
  Graduate University for Advanced Studies (SOKENDAI),National Institute of Informatics
Shigeo URUSHIDANI
  Graduate University for Advanced Studies (SOKENDAI),National Institute of Informatics

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