Exploring the Use of DNS as a Search Engine for the Web of Things
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The document discusses using DNS as a search engine for the Internet of Things, focusing on standardized methods for device registration and service discovery. It proposes creating a new top-level domain, .env, to facilitate the discovery of web-enabled physical entities. Key considerations include scalability, privacy, security, and the management of metadata for embedded devices.
Exploring the Use of DNS as a Search Engine for the Web of Things
- 1. Exploring the Use of DNS as a Search Engine for the Web of Things Andreas Kamilaris, Koula Papakonstantinou and Andreas Pitsillides World Forum on Internet of Things, Seoul, Korea 6 March 2014
- 7. Standardized Global Flexible Scalable Comply with existing Internet standards Ubiquitous to Web users Not major changes to the existing technical equipment and protocols
- 8. Standardized Global Flexible Users could discover Scalable Ubiquitous environmental services simply to Web users by typing related keywords in their favorite Web browser Comply with existing Internet standards Not major changes to the existing technical equipment and protocols
- 9. Use DNS as a scalable, pervasive, global meta-data repository for embedded devices, supporting locationbased discovery of Web-enabled physical entities.
- 10. 1. New top-level domain: .env 2. Device Registration
- 11. 3. Service Discovery 3a. Listing Services: service.location.env 3b. Selecting Device: sensorid.service.location.env 3c. Translating URL: Map to an IPv4/IPv6 address 3d. Describing Device/Service: WADL (?) 3e. Constructing Request: REST
- 13. Querying: dig env.service.location. env axfr Registration: {A, SRV, TXT} DNS records
- 14. Service Discovery 1-10 Devices/Zone. 80-100 Devices/Zone. Each zone represents a service/location pair. In both cases, 1M sensor devices max.
- 15. Device Registration Devices are added sequentially, one-after the other.
- 17. Open Issues Reliability Consistency Management Trust Privacy Name conventions Performance Security
- 18. Challenges-Opportunities Automation M2M Communication Personalization User preferences, retrieva l from online social networks Generalization Extension Env. ontologies, general inference, advanced mashups Domain vocabularies, constructing advanced URLs and queries
- 19. We only scratched the surface…
- 20. Thank You! Andreas Kamilaris email: camel9@gmail.com