Cloud Sensor Ontology and Linked Data to Support Autonomicity in Cloud Application Platforms

摘要: Cloud application platforms with their numerous deployed applications, platform and third-party services are becoming increasingly complex, dynamic data-intensive, require novel intelligent approaches to be applied in order maintain them at an operational level. By treating cloud as distributed networks of software sensors utilising techniques from the Semantic Sensor Web area, we have developed a monitoring framework which allows us detect, diagnose react emerging critical situations complex environments manner. In this paper, focus on our use Ontology to: (i) represent cloud-based logical sensors; (ii) homogenise monitored sensor data form RDF streams; (iii) apply stream static reasoning these values detect situations. We also explain how utilisation Linked Data principles can help achieve more flexible extensible architecture define diagnosis adaptation policies. discuss benefits associated approach, well potential shortcomings challenges.