DocumentCode :
2783977
Title :
An architecture for flexible service discovery in OCTOPUS
Author :
Gu, Tao ; Qian, H.C. ; Yao, J.K. ; Pung, H.K.
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
fYear :
2003
fDate :
20-22 Oct. 2003
Firstpage :
291
Lastpage :
296
Abstract :
Service discovery has been drawing much attention from researchers and practitioners. The existing service discovery systems, like SLP, Jini, UPnP and Salutation, provide basic infrastructures where services can announce their presence and users can locate these services across the network. However there are several key issues which are partially solved or have not been well addressed - such as scalability, availability, dynamics and support for multiple matching mechanisms. In this paper, we propose a design for a service locating manager (SLM) system which addresses some of these issues. The SLM system adopts a dynamic hierarchical tree structure and service aggregation for scalability, availability and dynamics, and introduces multiple matching mechanisms which contain an attribute-based and a semantic matching engine. It provides a scalable, distributed, dynamic and robust solution to establish a flexible service discovery architecture. We describe our concepts, architecture and implementation, and present a performance study for our prototype.
Keywords :
Internet; semantic Web; OCTOPUS; dynamic hierarchical tree structure; dynamics; flexible service discovery; internet; multiple matching mechanisms; scalability; semantic matching engine; service aggregation; service locating manager system; Computer architecture; Computer science; IP networks; Java; Protocols; Scalability; Tree data structures; Vehicle dynamics; Web and internet services; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications and Networks, 2003. ICCCN 2003. Proceedings. The 12th International Conference on
ISSN :
1095-2055
Print_ISBN :
0-7803-7945-4
Type :
conf
DOI :
10.1109/ICCCN.2003.1284184
Filename :
1284184
Link To Document :
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