The Vision of Autonomic Computing
Computer
OGC® Sensor Web Enablement: Overview and High Level Architecture
GeoSensor Networks
IEEE Internet Computing
C-SPARQL: SPARQL for continuous querying
Proceedings of the 18th international conference on World wide web
A First Step Towards Stream Reasoning
Future Internet --- FIS 2008
Agents and Service-Oriented Computing for Autonomic Computing: A Research Agenda
IEEE Internet Computing
Foundations of Semantic Web Technologies
Foundations of Semantic Web Technologies
Service-Oriented Computing and Cloud Computing: Challenges and Opportunities
IEEE Internet Computing
A native and adaptive approach for unified processing of linked streams and linked data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Enabling Query Technologies for the Semantic Sensor Web
International Journal on Semantic Web & Information Systems
Addressing self-management in cloud platforms: a semantic sensor web approach
Proceedings of the 2013 international workshop on Hot topics in cloud services
A vision for monitoring cloud application platforms as sensor networks
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
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Abstract-As cloud computing systems are reaching the stagewhere the human effort required to maintain them at anoperational level is unsupportable, one of the major challengesfaced by cloud computing providers is to develop appropriatemechanisms for run-time monitoring and adaptation, to preventcloud platforms from quickly dissolving into a non-reliableenvironment. In this context, the application of intelligentapproaches to Autonomic Clouds may offer promisingopportunities. In this paper we present a novel approach toprovide cloud platforms with autonomic capabilities based onutilising techniques from the domains of the Semantic Web andStream Reasoning. The main idea of this approach is to encodevalues, monitored within cloud platforms, with Semantic Weblanguages, which will allow us to integrate these semanticallyenrichedobservation streams with static ontological knowledgeand apply intelligent reasoning. Based on such run-timereasoning capabilities, we are able to perform analysis andfailure diagnosis, and suggest further adaptation actions. As aninitial proof of concept, we sketch out a conceptual architecturefor a self-adaptation framework and introduce a prototypesolution implementing this architecture.