— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Abstract-- Our demonstration introduces a novel system architecture which massively facilitates optimization in data stream management systems (DSMS). The basic idea is to decouple...
Many systems such as Tukwila and YFilter combine automaton and algebra techniques to process queries over tokenized XML streams. Typically in this architecture, an automaton is fi...
With the advent of the data grid came a novel distributed scientific computing paradigm known as service-oriented science. Among the plethora of systems included under this framew...
David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxi...
Cardinality estimation is the problem of estimating the number of tuples returned by a query; it is a fundamentally important task in data management, used in query optimization, ...