We consider the problem of maintaining aggregates over recent elements of a massive data stream. Motivated by applications involving network data, we consider asynchronous data str...
— XML stream applications bring the challenge of efficiently processing queries on sequentially accessible tokenbased data. For efficient processing of queries, we need to ensu...
Mingzhu Wei, Ming Li, Elke A. Rundensteiner, Mural...
Stream processing has become increasingly important with emergence of stream applications such as audio/video surveillance, stock price tracing, and sensor data analysis. A challe...
Today's commodity microprocessors require a low latency memory system to achieve high sustained performance. The conventional high-performance memory system provides fast dat...
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropo...