Abstract
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 15,000 commodity-class PCs with fault tolerant software. This architecture achieves superior performance at a fraction of the cost of a system built from fewer, but more expensive, high-end servers.
- Publication:
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IEEE Micro
- Pub Date:
- 2003
- DOI:
- Bibcode:
- 2003IMicr..23b..22B
- Keywords:
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- Web search;
- Planets;
- Service oriented architecture;
- Computer architecture;
- Personal communication networks;
- Energy efficiency;
- Application software;
- Delay;
- Web services;
- Search engines