Scrambling Query Plans to Cope With Unexpected Delays

@inproceedings{Amsaleg1996ScramblingQP,
  title={Scrambling Query Plans to Cope With Unexpected Delays},
  author={Laurent Amsaleg and Michael J. Franklin and Anthony Tomasic and Tolga Urhan},
  booktitle={PDIS},
  year={1996}
}
Accessing data from numerous widely distributed sources poses signi cant new challenges for query opti mization and execution Congestion and failures in the network can introduce highly variable response times for wide area data access This paper is an initial ex ploration of solutions to this variability We introduce a class of dynamic run time query plan modi cation techniques that we call query plan scrambling We present an algorithm that modi es execution plans on the y in response to… CONTINUE READING
Highly Influential
This paper has highly influenced 10 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 111 citations. REVIEW CITATIONS

Topics

Statistics

051015'97'99'01'03'05'07'09'11'13'15'17
Citations per Year

112 Citations

Semantic Scholar estimates that this publication has 112 citations based on the available data.

See our FAQ for additional information.