Results for Summer 2013 CAP 4800 Project - Server trace case ------------------------------------------------------------ Execution output: ============================================================= == *** Model of a cluster of servers *** == ============================================================= = N = 10 nodes = Mu = 5.000000 req/sec = SAMPLE_INTERVAL = 60.000000 sec = LOW_THRESH = 7.100000 % = HIGH_THRESH = 7.200000 % = INCREMENT = 1 = DECREMENT = 1 ============================================================= = Total CPU time = 4.555000 sec = Total sim time = 2579428.218140 sec =------------------------------------------------------------ = >>> Simulation results - =------------------------------------------------------------ = Mean number active = 3.246290 nodes = Mean response time = 0.233915 sec = 50% response time = 0.200000 sec = 98% response time = 0.332041 sec = 99% response time = 0.498199 sec =------------------------------------------------------------ CSIM Simulation Report (Version 19.0 for Borland C) Mon May 27 19:45:05 2013 Ending simulation time: 2579428.218 Elapsed simulation time: 2579428.218 CPU time used (seconds): 4.555 FACILITY SUMMARY facility service service through- queue response compl name disc time util. put length time count -------------------------------------------------------------------------------- Server for fcfs 0.20000 0.062 0.31232 0.09797 0.31370 805604 Server for fcfs 0.20000 0.046 0.22893 0.05210 0.22759 590517 Server for fcfs 0.20000 0.035 0.17632 0.03556 0.20168 454794 Server for fcfs 0.20000 0.028 0.14045 0.02817 0.20058 362288 Server for fcfs 0.20000 0.023 0.11292 0.02260 0.20010 291272 Server for fcfs 0.20000 0.018 0.09035 0.01807 0.20003 233047 Server for fcfs 0.20000 0.014 0.07082 0.01416 0.20001 182674 Server for fcfs 0.20000 0.011 0.05267 0.01053 0.20000 135859 Server for fcfs 0.20000 0.007 0.03681 0.00736 0.20000 94936 Server for fcfs 0.20000 0.005 0.02329 0.00466 0.20000 60065 TABLE 1: Table for number of active servers minimum 1.000000 mean 3.246290 maximum 10.000000 variance 8.044809 range 9.000000 standard deviation 2.836337 observations 42990 coefficient of var 0.873717 TABLE 2: Table for response time minimum 0.200000 mean 0.233915 maximum 28.673877 variance 0.291337 range 28.473877 standard deviation 0.539757 observations 3211056 coefficient of var 2.307493 Calculation of energy savings: ----------------------------- With 3.246 machines powered-on on average for 30 days the energy savings is as follows... Base case of 10 machines powered-on always: 10 x 200 x 30 x 24 = 1440.0 kWh Policy case of 3.246 machines powered-on on average: (3.246 x 200 x 30 x 24) + ((10 - 3.246) x 5 x 30 x 24) = 491.7 kWh So, the energy savings is: 1440.0 - 491.7 = 948.3 kWh (or about $95 per month at $0.10 per kWh) ---