Adaptive Query Processing: Technology in Evolution

Adaptive Query Processing: Technology in Evolution (2000)

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by Joseph M. Hellerstein , Michael J. Franklin , Sirish Chandrasekaran , Amol Deshpande , Kris Hildrum , Sam Madden , Vijayshankar Raman , Mehul A. Shah

Venue:	IEEE DATA ENGINEERING BULLETIN
Citations:	73 - 9 self

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Datum	Value	Source
TITLE	Adaptive Query Processing: Technology in Evolution	user correction - Legacy Corrections
AUTHOR NAME	Joseph M. Hellerstein	user correction
AUTHOR NAME	Michael J. Franklin	user correction
AUTHOR NAME	Sirish Chandrasekaran	user correction
AUTHOR NAME	Amol Deshpande	user correction
AUTHOR NAME	Kris Hildrum	user correction
AUTHOR NAME	Sam Madden	user correction
AUTHOR NAME	Vijayshankar Raman	user correction
AUTHOR NAME	Mehul A. Shah	user correction
ABSTRACT	As query engines are scaled and federated, they must cope with highly unpredictable and changeable environments. In the Telegraph project, we are attempting to architect and implement a continuously adaptive query engine suitable for global-area systems, massive parallelism, and sensor networks. To set the stage for our research, we present a survey of prior work on adaptive query processing, focusing on three characterizations of adaptivity: the frequency of adaptivity, the effects of adaptivity, and the extent of adaptivity. Given this survey, we sketch directions for research in the Telegraph project.	user correction
YEAR	2000	INFERENCE
VENUE	IEEE DATA ENGINEERING BULLETIN	user correction
VENUE TYPE	JOURNAL	INFERENCE
PAGES	2000	INFERENCE
VOLUME	23	INFERENCE
CITATIONS	35 found	ParsCit 1.0