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Conference Paper
A Scalable Service Discovery Protocol with the Optimal Discovery Time for Large-Scale Cyber Physical Systems
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- Authors
- Jeman Park, Inwhee Joe, Won-Tae Kim
- Issue Date
- 2012-12
- Citation
- International Conference on Future Generation Information Technology (FGIT) 2012, v.351, pp.33-40
- Language
- English
- Type
- Conference Paper
- Abstract
- 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.
- KSP Keywords
- Data Distribution, Data-centric approach, Discovery time, High Reliability, Large-Scale CPS, Large-scale network, Random back-off, Real-time control, Real-time performance, Scalable service discovery, Service discovery protocol