exp = 'plain'
samples = 1000
prior = 99
sched_range = ['SCHED_FIFO', 'SCHED_RR', 'SCHED_OTHER']
nants = 4
stats = {}
for sched in sched_range:
obj = utils.read_pickle('../dump/gstat_exp%s_samp%d_prior%d_sched%s_nant%d_nproc%d'%(exp, samples, prior,sched,nants, nprocs))
stats[sched] = astat(obj.proc['slack'])
fig = plt.figure(figsize=(4*1.5, 3*1.5))
ax = plt.gca()
bins = np.linspace(-500, 2000, 1000)
plt.plot(bins, stats['SCHED_FIFO'].get_cdf(bins), linewidth=4, label='FIFO')
plt.plot(bins, stats['SCHED_RR'].get_cdf(bins), linewidth=4, label='RR', color='#999fff')
plt.plot(bins, stats['SCHED_OTHER'].get_cdf(bins), linewidth=4, label='OTHER', color='black')
# ax.set_yticks(np.arange(0,6,1))
plt.xlabel('Slack (us)')
plt.ylabel('CDF')
plt.ylim(0,1)
nospines(ax)
plt.grid()
pp = PdfPages('plot/cdf_slack_sched.pdf')
pp.savefig( bbox_inches='tight', dpi=300)
pp.close()
plt.close(fig)
z.append(ress[exp_str][2])
y1.append(y[:])
y11.append(z[:])
#############
# plot 1
# fig = plt.figure(figsize=(4*1.7, 3*1.7))
fig = plt.figure(figsize=(8*1.7, 3*1.7))
ax = plt.gca()
# for ix, exp in enumerate(exp_range):
for ix, exp in enumerate(exp_range_str):
# plt.plot(rtt_range, y1[ix], ls[ix], color=colors_e[ix], mfc='none', label=exp_range_str[ix], ms=14, mec=colors_e[ix], linewidth=4, markeredgewidth=4)
# if exp == 'static' or exp == 'static2':
plt.plot(rtt_range, y1[ix], ls[ix], color=colors_e[ix], mfc='none', label=exp_range_str[ix], linewidth=4)
# plt.grid()
ax.set_yscale('log')
plt.xlabel('RTT/2 (us)')
# plt.xlabel('MCS')
plt.ylabel('Deadline miss rate')
plt.ylim(0.001,1.1)
plt.xlim(350, 600)
nospines(ax)
# lg=ax.legend(loc='lower right',numpoints=1, fontsize=20)
lg=ax.legend(loc='upper left',numpoints=1, fontsize=20)
if lg is not None:
lg.draw_frame(False)
