A feedback control scheduling architecture for real-time ontology

Many solutions were proposed to store and load a large amount of semantic data which are generated from ontologies. These solutions have introduced a new database architecture called Ontology Based DataBases (OBDBs) which presents several drawbacks : it does not take into account the management of non-standard data, it does not consider the modeling of time for data, and it does not propose a specification and modeling of transactions. Based on these limits, the existed OBDBs architecture is not suitable for real-time applications. The real-time ontology, which is the result of temporal constraints integration on real-time context, has been introduced. In this paper, we propose the integration of a real-time ontology on databases. Currently, many real-time applications are geographically distributed, in this case, the distributed real-time DBMS are the best appropriate to be a suitable target for this integration. The performance study of integrating a real-time ontology on distributed real-time DBMS require the use of quality of service (QoS) based architectures which the feedback control scheduling technique is the best case. In this order, the Distributed Feedback Control Scheduling Architecture for Real-Time Ontology (DFCSA-RTO) is proposed.