Abstract: Methods for processing streaming data records are provided that include facilities for defining and naming multiple input and output data streams using relational processing definitions and abstractions similar to those found in relational database management systems (RDBMS) and embodied as a set of communicating stream processing nodes. The result is a Distributed Data Stream Management System (DDSMS) which is also a kind of Relational Data Stream Management System (RDSMS). The former comprises a set of Relational Data Stream Management System (RDSMS) nodes, whereas the latter might contain only a single RDSMS node.
Abstract: Methods for processing streaming data records are provided that include facilities for defining and naming multiple input and output data streams using relational processing definitions and abstractions similar to those found in relational database management systems (RDBMS) and embodied as a set of communicating stream processing nodes. The result is a Distributed Data Stream Management System (DDSMS) which is also a kind of Relational Data Stream Management System (RDSMS). The former comprises a set of Relational Data Stream Management System (RDSMS) nodes, whereas the latter might contain only a single RDSMS node.
Abstract: Distributed Data Stream Management System (DDSMS) and the optimization strategies and capabilities enabled therein, and embodiments of its stream processing nodes are provided. Data recovery both from local buffered data and through recursive recovery are possible.
Abstract: Methods for processing streaming data records are provided that include facilities for defining and naming multiple input and output data streams using relational processing definitions and abstractions similar to those found in relational database management systems (RDBMS) and embodied as a set of communicating stream processing nodes. The result is a Distributed Data Stream Management System (DDSMS) which is also a kind of Relational Data Stream Management System (RDSMS). The former comprises a set of Relational Data Stream Management System (RDSMS) nodes, whereas the latter might contain only a single RDSMS node.
Abstract: A method and potential embodiment for processing streaming data records is described which provides facilities for defining and naming multiple input and output data streams using relational processing definitions and abstractions similar to those found in relational database management systems (RDBMS) and embodied as a set of communicating stream processing nodes. The result is a Distributed Data Stream Management System (DDSMS) which is also a kind of Relational Data Stream Management System (RDSMS). The former comprises a set of Relational Data Stream Management System (RDSMS) nodes, whereas the latter might contain only a single RDSMS node. A unique combination of the method, means, capabilities, interfaces to and potential embodiments of its constituent elements, work together to provide a seamless and complete DDSMS, and in the optimization strategies and capabilities enabled therein, and in the method, means and embodiments of its stream processing nodes.