def main(exp, samples, nants, nprocs, prior, sched, T_T, T_P, N_P):
arrts = []
for idx, nant in enumerate(range(nants)):
fname = '../log/exp%s_samp%d_trans%d_prior%d_sched%s_nant%d_nproc%d.log'%(exp, samples, idx, prior,sched, nants, nprocs)
if not os.path.isfile(fname):
print 'File %s does not exist'%fname
raise ValueError
else:
arr = read_log_timing([fname])
utils.write_pickle(arr, '../dump/gstat_exp%s_samp%d_trans%d_prior%d_sched%s_nant%d_nproc%d_T_T%d_T_P%d_N_P%d'%(exp, samples, idx, prior, sched,nants, nprocs, T_T, T_P, N_P))
arrts.append(arr)
print 'avg transport duration radio %d is %f us %f'%(idx, np.mean(arr['duration']), np.std(arr['duration']))
arrps, arros = [],[]
avg_procs, avg_offloads = [], []
for idx, nproc in enumerate(range(nprocs)):
fname = '../log/exp%s_samp%d_proc%d_prior%d_sched%s_nant%d_nproc%d.log'%(exp, samples, idx, prior, sched, nants, nprocs)
fname_o = '../log/exp%s_samp%d_offload%d_prior%d_sched%s_nant%d_nproc%d.log'%(exp, samples, idx, prior, sched, nants, nprocs)
if (not os.path.isfile(fname)) or (not os.path.isfile(fname_o)):
print 'File %s does not exist'%fname
raise ValueError
else:
arrp = read_proc_log_timing([fname])
arro = read_off_log_timing([fname_o])
utils.write_pickle(arrp, '../dump/gstat_exp%s_samp%d_proc%d_prior%d_sched%s_nant%d_nproc%d_T_T%d_T_P%d_N_P%d'%(exp, samples, idx, prior, sched,nants, nprocs, T_T, T_P, N_P))
utils.write_pickle(arro, '../dump/gstat_exp%s_samp%d_offload%d_prior%d_sched%s_nant%d_nproc%d_T_T%d_T_P%d_N_P%d'%(exp, samples, idx, prior, sched,nants, nprocs, T_T, T_P, N_P))
# analyse the logs
res, arrp, arro, avg_proc, avg_offload = time_analysis(arrp, arro)
arrps.append(arrp)
arros.append(arro)
avg_procs.append(avg_proc)
avg_offloads.append(avg_offload)
res_u = util_analysis(arrps)
return res_u, np.mean(avg_procs), np.mean(avg_offloads)
arrps, arros = [], []
for idx, nproc in enumerate(range(nprocs)):
arrp = utils.read_pickle('../dump/gstat_exp%s_samp%d_proc%d_prior%d_sched%s_nant%d_nproc%d_T_T%d_T_P%d_N_P%d'%(exp, samples, idx, prior, sched,nants, nprocs, T_T, T_P, N_P))
arro = utils.read_pickle('../dump/gstat_exp%s_samp%d_offload%d_prior%d_sched%s_nant%d_nproc%d_T_T%d_T_P%d_N_P%d'%(exp, samples, idx, prior, sched,nants, nprocs, T_T, T_P, N_P))
# analyse the logs
res, arrp, arro, _, _ = time_analysis(arrp, arro)
arrts.append([arrt['duration']])
arrps.append(arrp)
arros.append(arro)
res_u = util_analysis(arrps)
res_us.append(res_u)
cpu_u_orig.append(sum(res_u[1]))
dead_miss_orig.append(np.mean(res_u[2]))
avg_procs.append(avg_proc)
avg_offloads.append(avg_offload)
# utils.write_pickle(res_us, '../dump/res_us_%d.pkl'%n_ants)
# utils.write_pickle(arrts, '../dump/trans_%d.pkl'%n_ants)
utils.write_pickle([avg_procs, avg_offloads], '../dump/proc_offload_%d.pkl'%n_ants)
print "File %s does not exist" % fname
raise ValueError
fnames.append(fname)
ress = {}
# analyse the logs to get deadline misses and cpu utilization
arrps = read_proc_log(fnames)
exp_str = "exp%s_var%d_nbss%d_nants%d_ncores%d_Lmax%d_snr%d_mcs%d_delay%d" % (
exp,
var,
num_bss,
num_ants,
cores,
lmax,
snr,
mcs,
rtt,
)
res = time_analysis(arrps, rtt)
ress[exp_str] = res
print exp_str
print "Miss rate = %.3e, thru = %2.2f mbps" % (res[0], res[1])
print "----------------------------------------------------"
utils.write_pickle(ress, "../dump/ress11_%s.pkl" % (exp_str))
# ress.append(res)
# res_us.append(res_u)
