DocumentCode :
3159838
Title :
Agent Based Web Services with RuleML for Network Management
Author :
Nair, Mydhili K. ; Gopalakrishna, V.
Author_Institution :
Dept. of Inf. Sci. & Eng., M.S. Ramaiah Inst. of Technol., Bangalore, India
fYear :
2009
fDate :
27-29 Dec. 2009
Firstpage :
214
Lastpage :
219
Abstract :
This event-condition-action(ECA) rule description language for Web Services(named WS-ECA) is the latest buzzword in the realm of autonomous, intelligent agent based Web Service oriented computing (AWSOC). This rule description language supports interactions among service oriented, heterogeneous devices in a pervasive computing environment. It is based on ECA rules, which are embedded in distributed service devices and are triggered by events from internal or external factors. In this paper, we report our ongoing efforts to use DamlRuleML to define the ECA rules for a hybrid SNMP and mobile agent (MA) based network management system (NMS) we have built in-house. Our work is a novel approach embedding ECA Rules into AWS (agent Based Web services) which is used to enable pervasive network management.
Keywords :
Web services; mobile agents; mobile computing; telecommunication computing; telecommunication network management; distributed service devices; event-condition-action rule description language; intelligent agent based Web service oriented computing; mobile agent based network management system; pervasive computing environment; pervasive network management; Application software; Computer architecture; Computer network management; Engines; Intelligent agent; Microstrip; Pervasive computing; Service oriented architecture; Software agents; Web services; Agent Based Web Services; DamlRuleML; ECA Rule Engine; Network Management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks and Communications, 2009. NETCOM '09. First International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-5364-1
Electronic_ISBN :
978-0-7695-3924-9
Type :
conf
DOI :
10.1109/NetCoM.2009.53
Filename :
5383983
Link To Document :
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