• Title/Summary/Keyword: SPDP-TBF

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A Scalable and Effective DDS Participant Discovery Mechanism (확장성과 효율성 고려한 DDS 참여자 디스커버리 기법)

  • Kwon, Ki-Jung;You, Yong-Duck;Choi, Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.7
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    • pp.1344-1356
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    • 2009
  • The DDS (Data Distribution Service) is a data-centric communication technology that provides an efficient communication service that supports a dynamic plug & play through an automatic setting of participants' location information for each data (Topic) by using DDS discovery technique. This paper proposes the hierarchical-structured DDS discovery technique (SPDP-TBF) suitable for the large-scale distributed systems by comparing and analyzing the existing DDS discovery techniques in terms of performance and problem areas. The proposed SPDP-TBF performs the periodic discovery of the involved participants only by having separate hierarchical managers which take charge of the registration and search (of participants) so that a participant sends its information to the related participants only, and it enhances the effectiveness of the message transfer. Moreover, the proposed SPDP-TBF provides the improved scalability by performing the hierarchical discovery through hierarchical manager nodes so that it can be applied to the large-scale distributed system.