A scalable service discovery protocol with the optimal discovery time for large-scale cyber physical systems
- Authors
- Park, Jeman; Joe, Inwhee; Kim, Won-Tae
- Issue Date
- Dec-2012
- Publisher
- Springer Verlag
- Keywords
- CPS; DDS; Lagre-scale; Optimal Discovery Time; Random Back-off; RTPS; Service Discovery
- Citation
- Communications in Computer and Information Science, v.351 CCIS, pp.33 - 40
- Indexed
- SCOPUS
- Journal Title
- Communications in Computer and Information Science
- Volume
- 351 CCIS
- Start Page
- 33
- End Page
- 40
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164110
- DOI
- 10.1007/978-3-642-35600-1_5
- ISSN
- 1865-0929
- 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.
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