Scheduling for Shared Window Joins Over Data Streams

  title={Scheduling for Shared Window Joins Over Data Streams},
  author={Ahmed Moustafa},
Thi$ paper addresses the problem 0/ scheduling the shared C.:tecution of mul!iple window-join queries oller data s!reams. Each join has its own sliding window, whidl can be expressed in terms of time units or tuple counts. Joining tuples from the underlying data streams may scroe the pUfJJosc of multiple window join queries. Sharing the EXECution u! these queries will maximize the 'Utilization of system resources. One way to share the execution of multiple window joins is to we the largeJt… CONTINUE READING
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Continuously adaptive continuous querie 5 over streams

V. Haman

Predator : A rewurce ror database research

J P. Seshadri
SIGMOD Ueeord • 2002

Eddies : Continuously adapth ' e query processing ContinUOlL ' l queries over data streams

U. Cetintemel J D. Carney, M. Stonebraker, N. TaLbul, S. Zdonik, D. J. DeWitt J J. Chen

I1ellerstein.ltipplejoins for online aggregation

Pmc. of SIGMOD Conference, • 1999

Xjoin : A reacLively - schcdulcd pipelined join operator

J T. Urhan, M. Franklin
IEEE Do / a Engineering Bulletin • 1998

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