(Enter summary)
Abstract: In a wide-area environment, the time required to obtain data from remote sources can vary
unpredictably due to network congestion, link failure or other problems. Traditional techniques
for query optimization and query execution do not cope well with such unpredictability. The
static nature of those techniques prevents them from adapting to remote access delays that arise
at runtime. In this paper we describe two separate, but related techniques aimed at tackling this
problem. The first... (Update)
Context of citations to this paper: More
.... answers obtained from appropriate synopses of the data may be the only available option when the base data is remote and unavailable [6]. Finally, for DSS queries requesting a numerical answer (e.g. total revenues or annual percentage) it is often the case that the full...
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BibTeX entry: (Update)
L. Amsaleg, P. Bonnet, M. Franklin, A. Tomasic, and T. Urha. Improving Responsiveness for Wide-area Data Access. Data Engineeering, 20(3):3--11, September 1997. http://citeseer.ist.psu.edu/amsaleg97improving.html More
@article{ amsaleg97improving,
author = "Laurent Amsaleg and Philippe Bonnet and Michael J. Franklin and Anthony Tomasic and Tolga Urhan",
title = "Improving Responsiveness for Wide-Area Data Access",
journal = "Data Engineering Bulletin",
volume = "20",
number = "3",
pages = "3-11",
year = "1997",
url = "citeseer.ist.psu.edu/amsaleg97improving.html" }
Citations (may not include all citations):
330
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Mariposa: A wide-area distributed database system
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Dynamic query optimization on a distributed object managemen..
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A dynamic query scheduling framework for distributed and evo..
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Query processing and caching in tertiary memory (context) - Sarawagi - 1995
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