A Cyber Physical System (CPS) is an autonomous embedded system based on high reliability with real-time control of distributed physical systems through networks. Data distribution middleware for CPS should be based on a data-centric approach and guarantee real-time performance. In this regard, OMG's DDS is the best proximity middleware. RTPS (Real-Time Publish/Subscribe) is proposed for real-time service discovery in DDS. However, legacy discovery protocols cannot completely support the CPS system with a large-scale network (approx. 100,000 entities) like a warship, because service discovery messages are proportional to the square of the number of participants in RTPS. This paper proposes a scalable service discovery protocol with optimal discovery time for large-scale cyber physical systems using random back-off and slow-start algorithms. The performance results prove that our protocol works to scale for large-scale CPS networks by minimizing the discovery time as well as traffic simultaneously. © 2012 Springer-Verlag.
CITATION STYLE
Park, J., Joe, I., & Kim, W. T. (2012). A scalable service discovery protocol with the optimal discovery time for large-scale cyber physical systems. In Communications in Computer and Information Science (Vol. 351 CCIS, pp. 33–40). https://doi.org/10.1007/978-3-642-35600-1_5
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