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das-research
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Change chi to custody

This commit is contained in:
Leonardo Bautista-Gomez 2024-02-27 20:37:38 +01:00
parent 3db9eda5ea
commit d1d81a23cf
2 changed files with 10 additions and 10 deletions
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10
DAS/node.py
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@ -36,9 +36,9 @@ class Validator:
self.rowIDs = rowIDs
self.columnIDs = columnIDs
def initValidator(blockSizeC, chiR, blockSizeR, chiC):
rowIDs = set(random.sample(range(blockSizeC), chiR))
columnIDs = set(random.sample(range(blockSizeR), chiC))
def initValidator(blockSizeC, custodyRows, blockSizeR, custodyCols):
rowIDs = set(random.sample(range(blockSizeC), custodyRows))
columnIDs = set(random.sample(range(blockSizeR), custodyCols))
return Validator(rowIDs, columnIDs)
class Node:
@ -53,7 +53,7 @@ class Node:
"""It initializes the node, and eventual validators, following the simulation configuration in shape and config.
If rows/columns are specified these are observed, otherwise (default)
chiR rows and chiC columns are selected randomly.
custodyRows rows and custodyCols columns are selected randomly.
"""
self.shape = shape
@ -93,7 +93,7 @@ class Node:
self.statsRxDupInSlot = 0
self.statsRxDupPerSlot = []
# Set uplink bandwidth.
# Set uplink bandwidth.
# Assuming segments of ~560 bytes and timesteps of 50ms, we get
# 1 Mbps ~= 1e6 mbps * 0.050 s / (560*8) bits ~= 11 segments/timestep
if self.amIproposer:

10
smallConf.py
View File

@ -63,7 +63,7 @@ blockSizes = range(64, 113, 128)
netDegrees = range(8, 9, 2)
# number of rows and columns a validator is interested in
chis = range(2, 3, 2)
custody = range(2, 3, 2)
# ratio of class1 nodes (see below for parameters per class)
class1ratios = [0.8]
@ -102,12 +102,12 @@ diagnostics = False
saveGit = False
def nextShape():
for run, fm, fr, class1ratio, chi, vpn1, vpn2, blockSize, nn, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
runs, failureModels, failureRates, class1ratios, chis, validatorsPerNode1, validatorsPerNode2, blockSizes, numberNodes, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):
for run, fm, fr, class1ratio, cust, vpn1, vpn2, blockSize, nn, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
runs, failureModels, failureRates, class1ratios, custody, validatorsPerNode1, validatorsPerNode2, blockSizes, numberNodes, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):
# Network Degree has to be an even number
if netDegree % 2 == 0:
blockSizeR = blockSizeC = blockSize
blockSizeRK = blockSizeCK = blockSize // 2
chiR = chiC = chi
shape = Shape(blockSizeR, blockSizeRK, blockSizeC, blockSizeCK, nn, fm, fr, class1ratio, chiR, chiC, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run)
custodyRows = custodyCols = cust
shape = Shape(blockSizeR, blockSizeRK, blockSizeC, blockSizeCK, nn, fm, fr, class1ratio, custodyRows, custodyCols, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run)
yield shape