摘要: The dQUOB system satisfies client need for specific information from high-volume data streams. streams we speak of are the flow existing during large-scale visualizations, video streaming to large numbers distributed users, and high volume business transactions. We introduce notion conceptualizing a stream as set relational database tables so that scientist can request with an SQL-like query. Transformation or computation often needs be performed on en-route conceptualized consecutive views data, associated each view. moves query code into quoblet; compiled code. model has significant advantage presenting opportunities efficient reoptimizations queries sets queries. Using examples global atmospheric modeling, illustrate usefulness system. carry through experiments establish viability approach performance computing baseline benchmark. define cost-metric end-to-end latency used determine realistic cases where optimization should applied. Finally, show controlled probability assigned will evaluate true.
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