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configure using validatorsPerNode1/2 instead of chi1/2
Signed-off-by: Csaba Kiraly <csaba.kiraly@gmail.com>
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12
DAS/shape.py
12
DAS/shape.py
@ -3,7 +3,7 @@
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class Shape:
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"""This class represents a set of parameters for a specific simulation."""
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def __init__(self, blockSize, numberValidators, failureRate, class1ratio, chi1, chi2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run):
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def __init__(self, blockSize, numberValidators, failureRate, class1ratio, chi, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run):
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"""Initializes the shape with the parameters passed in argument."""
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self.run = run
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self.numberValidators = numberValidators
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@ -11,8 +11,9 @@ class Shape:
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self.failureRate = failureRate
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self.netDegree = netDegree
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self.class1ratio = class1ratio
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self.chi1 = chi1
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self.chi2 = chi2
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self.chi = chi
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self.vpn1 = vpn1
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self.vpn2 = vpn2
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self.bwUplinkProd = bwUplinkProd
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self.bwUplink1 = bwUplink1
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self.bwUplink2 = bwUplink2
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@ -25,8 +26,9 @@ class Shape:
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shastr += "-nbv-"+str(self.numberValidators)
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shastr += "-fr-"+str(self.failureRate)
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shastr += "-c1r-"+str(self.class1ratio)
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shastr += "-chi1-"+str(self.chi1)
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shastr += "-chi2-"+str(self.chi2)
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shastr += "-chi-"+str(self.chi)
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shastr += "-vpn1-"+str(self.vpn1)
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shastr += "-vpn2-"+str(self.vpn2)
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shastr += "-bwupprod-"+str(self.bwUplinkProd)
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shastr += "-bwup1-"+str(self.bwUplink1)
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shastr += "-bwup2-"+str(self.bwUplink2)
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@ -126,8 +126,9 @@ class Simulator:
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self.result = Result(self.shape)
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for val in self.validators:
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val.shape.failureRate = shape.failureRate
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val.shape.chi1 = shape.chi1
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val.shape.chi2 = shape.chi2
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val.shape.chi = shape.chi
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val.shape.vpn1 = shape.vpn1
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val.shape.vpn2 = shape.vpn2
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# In GossipSub the initiator might push messages without participating in the mesh.
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# proposerPublishOnly regulates this behavior. If set to true, the proposer is not
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@ -55,17 +55,17 @@ class Validator:
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self.sendQueue = deque()
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self.amIproposer = amIproposer
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self.logger = logger
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if self.shape.chi1 < 1 or self.shape.chi2 < 1:
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if self.shape.chi < 1:
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self.logger.error("Chi has to be greater than 0", extra=self.format)
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elif self.shape.chi1 > self.shape.blockSize or self.shape.chi2 > self.shape.blockSize:
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self.logger.error("Chi has to be smaller than %d" % blockSize, extra=self.format)
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elif self.shape.chi > self.shape.blockSize:
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self.logger.error("Chi has to be smaller than %d" % self.shape.blockSize, extra=self.format)
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else:
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if self.amIproposer:
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self.chi = 1 # not used
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elif self.ID <= shape.numberValidators * shape.class1ratio:
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self.chi = shape.chi1
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self.chi = shape.chi * shape.vpn1
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else:
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self.chi = shape.chi2
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self.chi = shape.chi * shape.vpn2 # TODO: union of random subsets vpn2 times
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if amIproposer:
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self.rowIDs = range(shape.blockSize)
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self.columnIDs = range(shape.blockSize)
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@ -13,7 +13,7 @@ class Visualizer:
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self.execID = execID
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self.folderPath = "results/"+self.execID
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self.parameters = ['run', 'blockSize', 'failureRate', 'numberValidators', 'netDegree',
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'chi1', 'chi2', 'bwUplinkProd', 'bwUplink1', 'bwUplink2']
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'chi', 'vpn1', 'vpn2', 'bwUplinkProd', 'bwUplink1', 'bwUplink2']
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self.minimumDataPoints = 2
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def plottingData(self):
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@ -30,8 +30,9 @@ class Visualizer:
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failureRate = int(root.find('failureRate').text)
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numberValidators = int(root.find('numberValidators').text)
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netDegree = int(root.find('netDegree').text)
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chi1 = int(root.find('chi1').text)
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chi2 = int(root.find('chi2').text)
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chi = int(root.find('chi').text)
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vpn1 = int(root.find('vpn1').text)
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vpn2 = int(root.find('vpn2').text)
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bwUplinkProd = int(root.find('bwUplinkProd').text)
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bwUplink1 = int(root.find('bwUplink1').text)
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bwUplink2 = int(root.find('bwUplink2').text)
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@ -41,7 +42,7 @@ class Visualizer:
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for combination in combinations(self.parameters, 4):
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# Get the indices and values of the parameters in the combination
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indices = [self.parameters.index(element) for element in combination]
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selectedValues = [run, blockSize, failureRate, numberValidators, netDegree, chi1, chi2, bwUplinkProd, bwUplink1, bwUplink2]
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selectedValues = [run, blockSize, failureRate, numberValidators, netDegree, chi, vpn1, vpn2, bwUplinkProd, bwUplink1, bwUplink2]
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values = [selectedValues[index] for index in indices]
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names = [self.parameters[i] for i in indices]
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keyComponents = [f"{name}_{value}" for name, value in zip(names, values)]
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@ -45,11 +45,15 @@ blockSizes = range(32,65,16)
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# Per-topic mesh neighborhood size
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netDegrees = range(6, 9, 2)
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# number of rows and columns a validator is interested in
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chis = range(1, 5, 2)
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# ratio of class1 nodes (see below for parameters per class)
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class1ratios = np.arange(0, 1, .2)
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# Number of rows and columns a validator is interested in
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chis1 = range(1, 5, 2)
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chis2 = range(10, 30, 20)
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# Number of validators per beacon node
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validatorsPerNode1 = [1]
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validatorsPerNode2 = [2, 4, 8, 16, 32]
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# Set uplink bandwidth. In segments (~560 bytes) per timestep (50ms?)
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# 1 Mbps ~= 1e6 / 20 / 8 / 560 ~= 11
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@ -64,9 +68,9 @@ deterministic = False
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randomSeed = "DAS"
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def nextShape():
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for run, fr, class1ratio, chi1, chi2, blockSize, nv, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
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runs, failureRates, class1ratios, chis1, chis2, blockSizes, numberValidators, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):
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for run, fr, class1ratio, chi, vpn1, vpn2, blockSize, nv, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
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runs, failureRates, class1ratios, chis, validatorsPerNode1, validatorsPerNode2, blockSizes, numberValidators, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):
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# Network Degree has to be an even number
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if netDegree % 2 == 0:
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shape = Shape(blockSize, nv, fr, class1ratio, chi1, chi2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run)
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shape = Shape(blockSize, nv, fr, class1ratio, chi, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run)
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yield shape
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