A Hybrid SWIM Data Naming Scheme Based on TLC Structure

• Main Authors: Zhijun Wu, Bohua Cui
• Format: Article
• Language: English
• Published: MDPI AG 2020-08-01
• Series: Future Internet
• Subjects: index terms SWIM; naming method; hybrid; TLC structure; bloom filter
• Online Access: https://www.mdpi.com/1999-5903/12/9/142

Aiming at the problem of low interconnection efficiency caused by the wide variety of data in SWIM (System-Wide Information Management) and the inconsistent data naming methods, this paper proposes a new TLC (Type-Length-Content) structure hybrid data naming scheme combined with Bloom filters. This solution can meet the uniqueness and durability requirements of SWIM data names, solve the “suffix loopholes” encountered in prefix-based route aggregation in hierarchical naming, and realize scalable and effective route state aggregation. Simulation verification results show that the hybrid naming scheme is better than prefix-based aggregation in the probability of route identification errors. In terms of search time, this scheme has increased by 17.8% and 18.2%, respectively, compared with the commonly used hierarchical and flat naming methods. Compared with the other two naming methods, scalability has increased by 19.1% and 18.4%, respectively.