def aggregate_data(conf):
print('Simulating data aggregation...')
results = DataAggregator.aggregate(conf['levels'])
tx_stats = DataAggregator.get_tx_stats(1e9) # Gbytes
mh_topo = DataAggregator.get_vm_hours_topo()
mh_dc = DataAggregator.get_vm_hours_dc()
total_aggr_time = sum(result.aggr_time for result in results)
alloc_policy = conf['machine']['alloc_policy']
if conf['verbose']:
print('Total Aggregation Time: {:.5f} s'.format(total_aggr_time))
print('mapping={}, s_m={}, s_r={}, sensors_per_person={}, alloc_policy={}'\
.format(conf['mapping'], conf['s_m'], conf['s_r'], conf['sensors_per_person'], alloc_policy))
for result in results:
print(result)
print("Tx Data (mobile/WAN/LAN) = {} Gbytes".format(tx_stats))
print("VM hours per logical level = {}, {}".format(
mh_topo, sum(mh_topo)))
print("VM hours per cluster level = {}, {}".format(mh_dc, sum(mh_dc)))
else:
l = [
'{}, {}, {}, {}'.format(conf['mapping'], conf['s_m'], conf['s_r'],
alloc_policy)
]
l += ['{:5f}'.format(total_aggr_time)]
l += [result.to_csv() for result in results]
l += [
'{:.5f}, {:.5f}, {:.5f}'.format(tx_stats[0], tx_stats[1],
tx_stats[2])
]
l += [
'{:.5f}, {:.5f}, {:.5f}, {:.5f}, {:.5f}'.format(
mh_topo[0], mh_topo[1], mh_topo[2], mh_topo[3], sum(mh_topo))
]
l += [
'{:.5f}, {:.5f}, {:.5f}, {:.5f}, {:.5f}'.format(
mh_dc[0], mh_dc[1], mh_dc[2], mh_dc[3], sum(mh_dc))
]
print('DataAggrResults: {}'.format(', '.join(l)))
