Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Data Stream Management Systems (DSMSs) do not statically respond to issued queries -- rather, they continuously produce result streams to standing queries, and often operate in a context where any interruption can lead to data loss. Support for schema evolution in continuous query processing is currently unaddressed. In this work  address evolution in DSMSs by proposing semantics for three evolution primitives: Add Attribute and Drop Attribute (schema evolution), and Alter Data (data evolution).  characterize how a subset of commonly used query operators in a DSMS act on and propagate these primitives.
['Rafael J Fernandez-Moctezuma', 'James F. Terwilliger', 'Lois M. L. Delcambre', 'David Maier']
I am writing a research paper on a idea Toward Formal Semantics for Data and Schema Evolution in Data Stream Management Systems
[{"from": "human", "value": "I am writing a research paper on a idea Toward Formal Semantics for Data and Schema Evolution in Data Stream Management Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Data Stream Management Systems (DSMSs) do not statically respond to issued queries -- rather, they continuously produce result streams to standing queries, and often operate in a context where any interruption can lead to data loss. Support for schema evolution in continuous query processing is currently unaddressed. In this work  address evolution in DSMSs by proposing semantics for three evolution primitives: Add Attribute and Drop Attribute (schema evolution), and Alter Data (data evolution).  characterize how a subset of commonly used query operators in a DSMS act on and propagate these primitives."}]