Title
An ontology-driven semantic bus for autonomic communication elements An ontology-driven semantic bus for autonomic communication elements
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
article
Publication
[*]
Subject
Mass communications
Computer. Automation
ISSN
0302-9743
ISI
000289029000004
Carrier
E
Target language
English (eng)
Abstract
Recently, autonomics have been proposed as a solution to tackle the ever-increasing management complexity of large-scale computing and communications infrastructures. Over time, the control loops used to orchestrate the intelligent behaviour of autonomic management architectures have evolved from fully static to highly-dynamic loops comprised of loosely coupled management components. Communication and other interactions between these components is facilitated by a communications substrate. Additionally, in order to achieve truly autonomic behaviour, the interacting components need to be able to understand each other, justifying the need for semantically enriched communications. In this paper, we present a novel semantic communications bus that orchestrates interactions between the components of an autonomic control loop. It employs ontology-based reasoning in order to establish communication contracts, validate message consistency and support semantic topic subscriptions. Additionally, a prototype was designed, implemented and its performance evaluated.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000289029000004&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000289029000004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000289029000004&DestLinkType=CitingArticles&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848