| 
|
QuoteRef: barrLA3_2003
topics >
all references >
Topic:
searching the Web
Topic:
implementing distributed systems and applications
Topic:
computer architecture
Topic:
code optimization
Topic:
data parallel processing
Topic:
full-text indexing
Reference
Barroso, L.A., Dean, J., Holzle, U., "Web search for a planet: the Google cluster architecture", IEEE Micro, March-April 2003, pp. 22-28. Google
22 ;;Quote: a Google query touches 100s Mbytes of data and execute billions of CPU cycles
22+;;Quote: Google runs more than 15,000 commodity-class PCs
22+;;Quote: energy efficiency and price-performance are the primary factors for Google clusters
23 ;;Quote: search is parallelizable by randomly dividing index into pieces called index shards; a pool of machines for each shard
25 ;;Quote: depreciation is larger than power and cooling; servers last only 2-3 years
Topic: searching the Web (53 items)
Topic: implementing distributed systems and applications (41 items)
Topic: computer architecture (46 items)
Topic: code optimization (54 items)
Topic: data parallel processing (14 items)
Topic: full-text indexing (37 items)