##### Use CA10RAM to get 10%* Discount. (5/5)

### the program, generate a chart that depicts the performance of each of the algorithms

INSTRUCTIONS TO CANDIDATES

Loop for 1,000 experiments

Generate page address stream (similar to Figure 8.14, see next page)

Loop for working set size from 2 through 20

Faults[working set size][LRU] += LRU( working set size, stream)

Faults[working set size][FIFO] += FIFO ( working set size, stream)

Faults[working set size][Clock] += Clock ( working set size, stream)

Faults[working set size][Random] += Random ( working set size, stream)

End of working set size loop

End of Experiment loop

Loop for working set size from 2 through 20

Test trace with:

Print( working set size,

Faults[working set size][LRU] / 1000.0,

Faults[working set size][FIFO] / 1000.0,

Faults[working set size][Clock] / 1000.0,

Faults[working set size][Random] / 1000.0 )

End of working set size loop

Each function ( LRU, FIFO, Clock, and Random ) count the number of page faults which occur for a page address stream based on the working set size

External to the program, generate a chart that depicts the performance of each of the algorithms (similar to Figure 8.16).

for( part=0; part<10; part++ )

Base address equals 25 times a uniform random value in [0,9], inclusive.

for( index=0; index <100; index ++ )

Address[100*part+index] = Base + normal random number in [0,25], inclusive.

Uniform random number generator

int uniform( int lo, int hi )

{

int x, y = hi – lo + 1, z = RAND_MAX / y;

while ( y <= (x = ( random() / z )) );

return x + lo;

}

Normal random number generator

int normal ()

{

int x = 0;

for( int i=0; i<5; i++ )

{

x += uniform( 0, 5 );

}

return x;

}

(5/5)

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