FDSMS – Federated Data Stream Management System Sample Clauses

FDSMS – Federated Data Stream Management System. A central component in the Smart Vortex project is the distributed Federated Data Stream Management System (FDSMS), which processes queries and computations over data streaming from equipment and other stream data sources and produces data streams sent to other Smart Vortex components. A data stream can be seen as a continuously growing sequence of tuples or events. An event can be a sensor reading or some action by a human operator. The result of processing a query over streams (a continuous query, CQ) is also one or several derived streams of tuples. The FDSMS engine furthermore contains a local semantic database where data is stored that is continuously matched against incoming streams queried by CQs. For example, sensors deployed in vehicles generate data regarding environment and vehicle status (e.g. engine temperature) that can be accessed by CQs through the FDSMS from a manufacturer or a service provider. Having access to such streaming data often includes the wish to analyse the data in order to generate new knowledge. The result of such an analysis, which even can be executed in real-time, could be used to inform other actors about identified complex event and trigger further actions. Both incoming and outgoing data streams need some access control mechanisms to prevent illegal access to data. Also the local data stored inside the FDSMS engine needs access control. A particular issue is that the processing of CQs over streams often requires very high performance in order to keep up with the stream flow and to execute more or less costly algorithms on streaming data. For high performance the semantic database built into the FDSMS is therefore stored in main memory. The semantic database can periodically be saved on disk for backup purposes. The requirement for high performance over massive data streams also becomes an issue when handling access control mechanisms. Since access control will involve accessing the SmartVortex rules and access policy framework (where rules and policies are stored), the communication time for this becomes an issue. There are two alternatives for handling access control:
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