Service discovery
From Wikipedia, the free encyclopedia
Automatic detection of devices and services on a computer network
This article is about a type of network protocols. For the multimedia session initiation protocol, see Session Description Protocol.
This article has multiple issues. Please help improve it or discuss these issues on the talk page . (Learn how and when to remove these messages)
(Learn how and when to remove this message)This article is in list format but may read better as prose . You can help by converting this article, if appropriate. Editing help is available. (June 2014)
This article needs additional citations for verification . Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.
Find sources: "Service discovery" – news · newspapers · books · scholar · JSTOR (June 2014) (Learn how and when to remove this message)
Find sources: "Service discovery" – news · newspapers · books · scholar · JSTOR (June 2014) (Learn how and when to remove this message)
Service discovery is the process of automatically detecting devices and services on a computer network. It aims to reduce the manual configuration effort required from users and administrators. A service discovery protocol (SDP) is a network protocol that helps accomplish service discovery.
Service discovery requires a common language to allow software agents to make use of one another's services without the need for continuous user intervention.[1]
Protocols
[edit ]There are many service discovery protocols, including:
- Bluetooth Service Discovery Protocol (SDP)
- Bonjour, e.g., Apple AirPrint
- DNS Service Discovery (DNS-SD), a component of zero-configuration networking
- DNS, as used for example in Kubernetes
- Dynamic Host Configuration Protocol (DHCP); its classification as a service discovery protocol is controversial
- Internet Storage Name Service (iSNS)
- Jini for Java objects.
- Lightweight Service Discovery (LSD), for mobile ad hoc networks [2]
- Link Layer Discovery Protocol (LLDP) standards-based neighbor discovery protocol similar to vendor-specific protocols which find each other by advertising to vendor-specific broadcast addresses (versus all-1's), such Cabletron (Enterasys) and Cisco Discovery Protocol (both referred to as CDP but different formats).
- Local Peer Discovery, or Local Service Discovery
- Multicast Source Discovery Protocol (MSDP), usually used for unicast exchange of multicast source information between anycast Rendez-Vous Points (RPs) to service mcast clients.
- Service Advertising Protocol used in Novell NetWare networks with IPX
- Service Location Protocol (SLP)
- Session Announcement Protocol (SAP) used to discover RTP sessions
- Simple Service Discovery Protocol (SSDP), a component of Universal Plug and Play (UPnP)
- Universal Description Discovery and Integration (UDDI) for web services
- Universal Service Discovery Protocol (USDP)
- Web Proxy Autodiscovery Protocol (WPAD)
- WS-Discovery (Web Services Dynamic Discovery)
- XMPP Service Discovery (XEP-0030)
- XRDS (eXtensible Resource Descriptor Sequence) used by XRI, OpenID, OAuth, etc.
See also
[edit ]References
[edit ]- ^ Berners-Lee, Tim (2001年05月01日). "The Semantic Web" . Scientific American . 284 (5): 34–43. Bibcode:2001SciAm.284e..34B. doi:10.1038/scientificamerican0501-34 . Retrieved 2008年03月13日.
- ^ Lim, Byong-In; Choy, Kee-Hyun; Shin, Dong-Ryeol (2005). Sunderam, V.S.; van Albada, G.D.; Sloot, P.M.A.; Dongarra, J. (eds.). An Architecture for Lightweight Service Discovery Protocol. International Conference on Computational Science. Springer Berlin Heidelberg. pp. 963–966. doi:10.1007/11428862_148 . ISBN 978-3-540-32118-7.
External links
[edit ]- Service Discovery S-Cube Knowledge Model
- Dong, H., Hussain, F.K., Chang, E.: Semantic Web Service matchmakers: State of the art and challenges[Online]. Concurrency and Computation: Practice and Experience 25(7) (May 2013) pp. 961–988. Accessed on June 16, 2015.
- Sun, L., Dong, H., Hussain, F.K., Hussain, O.K., Chang, E.: Cloud service selection: State-of-the-art and future research directions. Journal of Network and Computer Applications[Online] 45 (October 2014) pp. 134–150. Date accessed: 16 June 2015.