Machine Models and Lower Bounds for Query Processing. Machine Models and Lower Bounds for Query Processing Nicole Schweikardt Institut für Informatik, Humboldt-Universität zu Berlin,Germany [email protected] ABSTRACT This paper gives an overview of recent work on machine models for processing massive amounts of data.
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Machine Models and Lower Bounds for Query Processing. Machine Models and Lower Bounds for Query Processing Nicole Schweikardt Institut für Informatik, Humboldt-Universität zu Berlin,Germany [email protected] ABSTRACT This paper gives an overview of recent work on machine models for processing massive amounts of data.
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Machine Models and Lower Bounds for Query Processing. Machine Models and Lower Bounds for Query Processing Nicole Schweikardt Institut für Informatik, Humboldt-Universität zu Berlin,Germany [email protected] ABSTRACT This paper gives an overview of recent work on machine models for processing massive amounts of data.
Machine Models and Lower Bounds for Query Processing Nicole Schweikardt Institut für Informatik, Humboldt-Universität zu Berlin,Germany [email protected] ABSTRACT This paper gives an overview of recent work on machine models for processing massive amounts of data. The main focus is on gen- eralizations of the classical data stream model where, apart from an "internal memory
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Machine Models and Lower Bounds for Query Processing. Machine Models and Lower Bounds for Query Processing Nicole Schweikardt Institut für Informatik, Humboldt-Universität zu Berlin,Germany [email protected] ABSTRACT This paper gives an overview of recent work on machine models for processing massive amounts of data.
Machine Models for Query Processing Nicole Schweikardt Institut f¨ ur Informatik, Goethe-Universit¨ at Frankfurt am Main [email protected] 1 Introduction and the (severely restricted) mud model (a model for mas- sive, unordered, distributed computations), presented in The massive data sets that have to be processed in many Section 7.
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