Web search for a planet: The Google cluster architecture

Amenable to extensive parallelization, Google's web search application lets different queries run on different processors and, by partitioning the overall index, also lets a single query use multiple processors. to handle this workload, Googless architecture features clusters of more than 15,00...

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Veröffentlicht in:	IEEE MICRO 2003-03, Vol.23 (2), p.22-28
Hauptverfasser:	Barroso, L.A., Dean, J., Holzle, U.
Format:	Artikel
Sprache:	eng
Schlagworte:	Application software Architecture Clusters Computer architecture Delay Energy efficiency Fault tolerance Personal communication networks Planets Processors Queries Search engines Searching Service oriented architecture System built Web search Web services Workload
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