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add maliciousNode and Independentdimensions 

Signed-off-by: Arunima Chaudhuri <arunimachaudhuri2020@gmail.com>
This commit is contained in:
Arunima Chaudhuri 2024-02-06 19:49:17 +05:30
parent 7ed3d8c690
commit 901d9c9c31
8 changed files with 157 additions and 128 deletions
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2
.gitignore vendored
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@ -1,7 +1,7 @@
*.swp
*.pyc
results/*
myenv
myenv*/
doc/_build
!results/plots.py
Frontend/

56
DAS/block.py
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@ -7,10 +7,18 @@ from bitarray.util import zeros
class Block:
"""This class represents a block in the Ethereum blockchain."""
def __init__(self, blockSize):
"""Initialize the block with a data array of blocksize^2 zeros."""
self.blockSize = blockSize
self.data = zeros(self.blockSize*self.blockSize)
def __init__(self, blockSizeR, blockSizeRK=0, blockSizeC=0, blockSizeCK=0):
"""Initialize the block with a data array of blocksize^2 zeros.
BlockSizeR: row size
BlockSizeRK: original row size, before erasure coding to BlocksSizeR
BlockSizeC: column size (i.e. number of rows)
BlockSizeCK: original column size, before erasure coding to BlocksSizeR
"""
self.blockSizeR = blockSizeR
self.blockSizeRK = blockSizeRK if blockSizeRK else blockSizeR/2
self.blockSizeC = blockSizeC if blockSizeC else blockSizeR
self.blockSizeCK = blockSizeCK if blockSizeCK else blockSizeRK
self.data = zeros(self.blockSizeR*self.blockSizeC)
def fill(self):
"""It fills the block data with ones."""
@ -22,62 +30,62 @@ class Block:
def getSegment(self, rowID, columnID):
"""Check whether a segment is included"""
return self.data[rowID*self.blockSize + columnID]
return self.data[rowID*self.blockSizeR + columnID]
def setSegment(self, rowID, columnID, value = 1):
"""Set value for a segment (default 1)"""
self.data[rowID*self.blockSize + columnID] = value
self.data[rowID*self.blockSizeR + columnID] = value
def getColumn(self, columnID):
"""It returns the block column corresponding to columnID."""
return self.data[columnID::self.blockSize]
return self.data[columnID::self.blockSizeR]
def mergeColumn(self, columnID, column):
"""It merges (OR) the existing column with the received one."""
self.data[columnID::self.blockSize] |= column
self.data[columnID::self.blockSizeR] |= column
def repairColumn(self, id):
"""It repairs the entire column if it has at least blockSize/2 ones.
"""It repairs the entire column if it has at least blockSizeCK ones.
Returns: list of repaired segments
"""
line = self.data[id::self.blockSize]
line = self.data[id::self.blockSizeR]
success = line.count(1)
if success >= self.blockSize/2:
if success >= self.blockSizeCK:
ret = ~line
self.data[id::self.blockSize] = 1
self.data[id::self.blockSizeR] = 1
else:
ret = zeros(self.blockSize)
ret = zeros(self.blockSizeC)
return ret
def getRow(self, rowID):
"""It returns the block row corresponding to rowID."""
return self.data[rowID*self.blockSize:(rowID+1)*self.blockSize]
return self.data[rowID*self.blockSizeR:(rowID+1)*self.blockSizeR]
def mergeRow(self, rowID, row):
"""It merges (OR) the existing row with the received one."""
self.data[rowID*self.blockSize:(rowID+1)*self.blockSize] |= row
self.data[rowID*self.blockSizeR:(rowID+1)*self.blockSizeR] |= row
def repairRow(self, id):
"""It repairs the entire row if it has at least blockSize/2 ones.
"""It repairs the entire row if it has at least blockSizeRK ones.
Returns: list of repaired segments.
"""
line = self.data[id*self.blockSize:(id+1)*self.blockSize]
line = self.data[id*self.blockSizeR:(id+1)*self.blockSizeR]
success = line.count(1)
if success >= self.blockSize/2:
if success >= self.blockSizeRK:
ret = ~line
self.data[id*self.blockSize:(id+1)*self.blockSize] = 1
self.data[id*self.blockSizeR:(id+1)*self.blockSizeR] = 1
else:
ret = zeros(self.blockSize)
ret = zeros(self.blockSizeR)
return ret
def print(self):
"""It prints the block in the terminal (outside of the logger rules))."""
dash = "-" * (self.blockSize+2)
dash = "-" * (self.blockSizeR+2)
print(dash)
for i in range(self.blockSize):
for i in range(self.blockSizeC):
line = "|"
for j in range(self.blockSize):
line += "%i" % self.data[(i*self.blockSize)+j]
for j in range(self.blockSizeR):
line += "%i" % self.data[(i*self.blockSizeR)+j]
print(line+"|")
print(dash)

13
DAS/observer.py
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@ -11,10 +11,11 @@ class Observer:
self.config = config
self.format = {"entity": "Observer"}
self.logger = logger
self.block = [0] * self.config.blockSize * self.config.blockSize
self.rows = [0] * self.config.blockSize
self.columns = [0] * self.config.blockSize
self.broadcasted = Block(self.config.blockSize)
self.block = [0] * self.config.blockSizeR * self.config.blockSizeC
self.rows = [0] * self.config.blockSizeC
self.columns = [0] * self.config.blockSizeR
self.broadcasted = Block(self.config.blockSizeR, self.config.blockSizeRK,
self.config.blockSizeC, self.config.blockSizeCK)
def checkRowsColumns(self, validators):
@ -26,7 +27,7 @@ class Observer:
for c in val.columnIDs:
self.columns[c] += 1
for i in range(self.config.blockSize):
for i in range(self.config.blockSizeC):
self.logger.debug("Row/Column %d have %d and %d validators assigned." % (i, self.rows[i], self.columns[i]), extra=self.format)
if self.rows[i] == 0 or self.columns[i] == 0:
self.logger.warning("There is a row/column that has not been assigned", extra=self.format)
@ -34,7 +35,7 @@ class Observer:
def checkBroadcasted(self):
"""It checks how many broadcasted samples are still missing in the network."""
zeros = 0
for i in range(self.blockSize * self.blockSize):
for i in range(self.blockSizeR * self.blockSizeC):
if self.broadcasted.data[i] == 0:
zeros += 1
if zeros > 0:

19
DAS/shape.py
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@ -3,17 +3,22 @@
class Shape:
"""This class represents a set of parameters for a specific simulation."""
def __init__(self, blockSize, numberNodes, failureModel, failureRate, maliciousNodes, class1ratio, chi, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run):
def __init__(self, blockSizeR, blockSizeRK, blockSizeC, blockSizeCK,
numberNodes, failureModel, failureRate, maliciousNodes, class1ratio, chiR, chiC, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run):
"""Initializes the shape with the parameters passed in argument."""
self.run = run
self.numberNodes = numberNodes
self.blockSize = blockSize
self.blockSizeR = blockSizeR
self.blockSizeRK = blockSizeRK
self.blockSizeC = blockSizeC
self.blockSizeCK = blockSizeCK
self.failureModel = failureModel
self.failureRate = failureRate
self.maliciousNodes = maliciousNodes
self.netDegree = netDegree
self.class1ratio = class1ratio
self.chi = chi
self.chiR = chiR
self.chiC = chiC
self.vpn1 = vpn1
self.vpn2 = vpn2
self.bwUplinkProd = bwUplinkProd
@ -24,12 +29,16 @@ class Shape:
def __repr__(self):
"""Returns a printable representation of the shape"""
shastr = ""
shastr += "bs-"+str(self.blockSize)
shastr += "-bsrn-"+str(self.blockSizeR)
shastr += "-bsrk-"+str(self.blockSizeRK)
shastr += "-bscn-"+str(self.blockSizeC)
shastr += "-bsck-"+str(self.blockSizeCK)
shastr += "-nn-"+str(self.numberNodes)
shastr += "-fm-"+str(self.failureModel)
shastr += "-fr-"+str(self.failureRate)
shastr += "-c1r-"+str(self.class1ratio)
shastr += "-chi-"+str(self.chi)
shastr += "-chir-"+str(self.chiR)
shastr += "-chic-"+str(self.chiC)
shastr += "-vpn1-"+str(self.vpn1)
shastr += "-vpn2-"+str(self.vpn2)
shastr += "-bwupprod-"+str(self.bwUplinkProd)

49
DAS/simulator.py
View File

@ -41,7 +41,7 @@ class Simulator:
# pushed out by the proposer.
# 1: the data is sent out exactly once on rows and once on columns (2 copies in total)
# self.shape.netDegree: default behavior similar (but not same) to previous code
self.proposerPublishTo = self.shape.netDegree
self.proposerPublishTo = self.shape.netDegree # TODO: make this an external parameter
def initValidators(self):
"""It initializes all the validators in the network."""
@ -54,17 +54,20 @@ class Simulator:
lightVal = lightNodes * self.shape.vpn1
heavyVal = heavyNodes * self.shape.vpn2
totalValidators = lightVal + heavyVal
totalRows = totalValidators * self.shape.chi
rows = list(range(self.shape.blockSize)) * (int(totalRows/self.shape.blockSize)+1)
columns = list(range(self.shape.blockSize)) * (int(totalRows/self.shape.blockSize)+1)
totalRows = totalValidators * self.shape.chiR
totalColumns = totalValidators * self.shape.chiC
rows = list(range(self.shape.blockSizeC)) * (int(totalRows/self.shape.blockSizeC)+1)
columns = list(range(self.shape.blockSizeR)) * (int(totalColumns/self.shape.blockSizeR)+1)
rows = rows[0:totalRows]
columns = columns[0:totalRows]
random.shuffle(rows)
random.shuffle(columns)
offset = lightVal*self.shape.chi
offsetR = lightVal*self.shape.chiR
offsetC = lightVal*self.shape.chiC
self.logger.debug("There is a total of %d nodes, %d light and %d heavy." % (self.shape.numberNodes, lightNodes, heavyNodes), extra=self.format)
self.logger.debug("There is a total of %d validators, %d in light nodes and %d in heavy nodes" % (totalValidators, lightVal, heavyVal), extra=self.format)
self.logger.debug("Shuffling a total of %d rows/columns to be assigned (X=%d)" % (len(rows), self.shape.chi), extra=self.format)
self.logger.debug("Shuffling a total of %d rows to be assigned (X=%d)" % (len(rows), self.shape.chiR), extra=self.format)
self.logger.debug("Shuffling a total of %d columns to be assigned (X=%d)" % (len(columns), self.shape.chiC), extra=self.format)
self.logger.debug("Shuffled rows: %s" % str(rows), extra=self.format)
self.logger.debug("Shuffled columns: %s" % str(columns), extra=self.format)
@ -93,14 +96,18 @@ class Simulator:
if self.config.evenLineDistribution:
if i < int(lightVal/self.shape.vpn1): # First start with the light nodes
start = i *self.shape.chi*self.shape.vpn1
end = (i+1)*self.shape.chi*self.shape.vpn1
startR = i *self.shape.chiR*self.shape.vpn1
endR = (i+1)*self.shape.chiR*self.shape.vpn1
startC = i *self.shape.chiC*self.shape.vpn1
endC = (i+1)*self.shape.chiC*self.shape.vpn1
else:
j = i - int(lightVal/self.shape.vpn1)
start = offset+( j *self.shape.chi*self.shape.vpn2)
end = offset+((j+1)*self.shape.chi*self.shape.vpn2)
r = rows[start:end]
c = columns[start:end]
startR = offsetR+( j *self.shape.chiR*self.shape.vpn2)
endR = offsetR+((j+1)*self.shape.chiR*self.shape.vpn2)
startC = offsetC+( j *self.shape.chiC*self.shape.vpn2)
endC = offsetC+((j+1)*self.shape.chiC*self.shape.vpn2)
r = rows[startR:endR]
c = columns[startC:endC]
val = Validator(i, int(not i!=0), amImalicious_value, self.logger, self.shape, self.config, r, c)
self.logger.debug("Node %d has row IDs: %s" % (val.ID, val.rowIDs), extra=self.format)
self.logger.debug("Node %d has column IDs: %s" % (val.ID, val.columnIDs), extra=self.format)
@ -125,8 +132,8 @@ class Simulator:
def initNetwork(self):
"""It initializes the simulated network."""
rowChannels = [[] for i in range(self.shape.blockSize)]
columnChannels = [[] for i in range(self.shape.blockSize)]
rowChannels = [[] for i in range(self.shape.blockSizeC)]
columnChannels = [[] for i in range(self.shape.blockSizeR)]
for v in self.validators:
if not (self.proposerPublishOnly and v.amIproposer):
for id in v.rowIDs:
@ -142,7 +149,7 @@ class Simulator:
self.logger.debug("Number of validators per row; Min: %d, Max: %d" % (min(self.distR), max(self.distR)), extra=self.format)
self.logger.debug("Number of validators per column; Min: %d, Max: %d" % (min(self.distC), max(self.distC)), extra=self.format)
for id in range(self.shape.blockSize):
for id in range(self.shape.blockSizeC):
# If the number of nodes in a channel is smaller or equal to the
# requested degree, a fully connected graph is used. For n>d, a random
@ -160,8 +167,8 @@ class Simulator:
for u, v in G.edges:
val1=rowChannels[id][u]
val2=rowChannels[id][v]
val1.rowNeighbors[id].update({val2.ID : Neighbor(val2, 0, self.shape.blockSize)})
val2.rowNeighbors[id].update({val1.ID : Neighbor(val1, 0, self.shape.blockSize)})
val1.rowNeighbors[id].update({val2.ID : Neighbor(val2, 0, self.shape.blockSizeR)})
val2.rowNeighbors[id].update({val1.ID : Neighbor(val1, 0, self.shape.blockSizeR)})
if not columnChannels[id]:
self.logger.error("No nodes for column %d !" % id, extra=self.format)
@ -176,8 +183,8 @@ class Simulator:
for u, v in G.edges:
val1=columnChannels[id][u]
val2=columnChannels[id][v]
val1.columnNeighbors[id].update({val2.ID : Neighbor(val2, 1, self.shape.blockSize)})
val2.columnNeighbors[id].update({val1.ID : Neighbor(val1, 1, self.shape.blockSize)})
val1.columnNeighbors[id].update({val2.ID : Neighbor(val2, 1, self.shape.blockSizeC)})
val2.columnNeighbors[id].update({val1.ID : Neighbor(val1, 1, self.shape.blockSizeC)})
for v in self.validators:
if (self.proposerPublishOnly and v.amIproposer):
@ -185,12 +192,12 @@ class Simulator:
count = min(self.proposerPublishTo, len(rowChannels[id]))
publishTo = random.sample(rowChannels[id], count)
for vi in publishTo:
v.rowNeighbors[id].update({vi.ID : Neighbor(vi, 0, self.shape.blockSize)})
v.rowNeighbors[id].update({vi.ID : Neighbor(vi, 0, self.shape.blockSizeR)})
for id in v.columnIDs:
count = min(self.proposerPublishTo, len(columnChannels[id]))
publishTo = random.sample(columnChannels[id], count)
for vi in publishTo:
v.columnNeighbors[id].update({vi.ID : Neighbor(vi, 1, self.shape.blockSize)})
v.columnNeighbors[id].update({vi.ID : Neighbor(vi, 1, self.shape.blockSizeC)})
if self.logger.isEnabledFor(logging.DEBUG):
for i in range(0, self.shape.numberNodes):

89
DAS/validator.py
View File

@ -42,15 +42,15 @@ class Validator:
"""It initializes the validator with the logger shape and rows/columns.
If rows/columns are specified these are observed, otherwise (default)
chi rows and columns are selected randomly.
chiR rows and chiC columns are selected randomly.
"""
self.shape = shape
FORMAT = "%(levelname)s : %(entity)s : %(message)s"
self.ID = ID
self.format = {"entity": "Val "+str(self.ID)}
self.block = Block(self.shape.blockSize)
self.receivedBlock = Block(self.shape.blockSize)
self.block = Block(self.shape.blockSizeR, self.shape.blockSizeRK, self.shape.blockSizeC, self.shape.blockSizeCK)
self.receivedBlock = Block(self.shape.blockSizeR, self.shape.blockSizeRK, self.shape.blockSizeC, self.shape.blockSizeCK)
self.receivedQueue = deque()
self.sendQueue = deque()
self.amIproposer = amIproposer
@ -63,15 +63,17 @@ class Validator:
self.restoreRowCount = 0
self.restoreColumnCount = 0
self.logger = logger
if self.shape.chi < 1:
if self.shape.chiR < 1 and self.shape.chiC < 1:
self.logger.error("Chi has to be greater than 0", extra=self.format)
elif self.shape.chi > self.shape.blockSize:
self.logger.error("Chi has to be smaller than %d" % self.shape.blockSize, extra=self.format)
elif self.shape.chiC > self.shape.blockSizeR:
self.logger.error("ChiC has to be smaller than %d" % self.shape.blockSizeR, extra=self.format)
elif self.shape.chiR > self.shape.blockSizeC:
self.logger.error("ChiR has to be smaller than %d" % self.shape.blockSizeC, extra=self.format)
else:
if amIproposer:
self.nodeClass = 0
self.rowIDs = range(shape.blockSize)
self.columnIDs = range(shape.blockSize)
self.rowIDs = range(shape.blockSizeC)
self.columnIDs = range(shape.blockSizeR)
else:
#if shape.deterministic:
# random.seed(self.ID)
@ -80,8 +82,8 @@ class Validator:
self.vRowIDs = []
self.vColumnIDs = []
for i in range(self.vpn):
self.vRowIDs.append(set(rows[i*self.shape.chi:(i+1)*self.shape.chi]) if rows else set(random.sample(range(self.shape.blockSize), self.shape.chi)))
self.vColumnIDs.append(set(columns[i*self.shape.chi:(i+1)*self.shape.chi]) if columns else set(random.sample(range(self.shape.blockSize), self.shape.chi)))
self.vRowIDs.append(set(rows[i*self.shape.chiR:(i+1)*self.shape.chiR]) if rows else set(random.sample(range(self.shape.blockSizeC), self.shape.chiR)))
self.vColumnIDs.append(set(columns[i*self.shape.chiC:(i+1)*self.shape.chiC]) if columns else set(random.sample(range(self.shape.blockSizeR), self.shape.chiC)))
self.rowIDs = set.union(*self.vRowIDs)
self.columnIDs = set.union(*self.vColumnIDs)
self.rowNeighbors = collections.defaultdict(dict)
@ -107,7 +109,8 @@ class Validator:
self.bwUplink *= 1e3 / 8 * config.stepDuration / config.segmentSize
self.repairOnTheFly = True
self.sendLineUntil = (self.shape.blockSize + 1) // 2 # stop sending on a p2p link if at least this amount of samples passed
self.sendLineUntilR = self.shape.blockSizeRK # stop sending on a p2p link if at least this amount of samples passed
self.sendLineUntilC = self.shape.blockSizeCK # stop sending on a p2p link if at least this amount of samples passed
self.perNeighborQueue = True # queue incoming messages to outgoing connections on arrival (as typical GossipSub impl)
self.shuffleQueues = True # shuffle the order of picking from active queues of a sender node
self.perNodeQueue = False # keep a global queue of incoming messages for later sequential dispatch
@ -132,57 +135,53 @@ class Validator:
else:
self.logger.debug("Creating block...", extra=self.format)
if self.shape.failureModel == "random":
order = [i for i in range(self.shape.blockSize * self.shape.blockSize)]
order = [i for i in range(self.shape.blockSizeR * self.shape.blockSizeC)]
order = random.sample(order, int((1 - self.shape.failureRate/100) * len(order)))
for i in order:
self.block.data[i] = 1
elif self.shape.failureModel == "sequential":
order = [i for i in range(self.shape.blockSize * self.shape.blockSize)]
order = [i for i in range(self.shape.blockSizeR * self.shape.blockSizeC)]
order = order[:int((1 - self.shape.failureRate/100) * len(order))]
for i in order:
self.block.data[i] = 1
elif self.shape.failureModel == "MEP": # Minimal size non-recoverable Erasure Pattern
for r in range(self.shape.blockSize):
for c in range(self.shape.blockSize):
k = self.shape.blockSize/2
if r > k or c > k:
for r in range(self.shape.blockSizeR):
for c in range(self.shape.blockSizeC):
if r > self.shape.blockSizeRK or c > self.shape.blockSizeCK:
self.block.setSegment(r,c)
elif self.shape.failureModel == "MEP+1": # MEP +1 segment to make it recoverable
for r in range(self.shape.blockSize):
for c in range(self.shape.blockSize):
k = self.shape.blockSize/2
if r > k or c > k:
for r in range(self.shape.blockSizeR):
for c in range(self.shape.blockSizeC):
if r > self.shape.blockSizeRK or c > self.shape.blockSizeCK:
self.block.setSegment(r,c)
self.block.setSegment(0, 0)
elif self.shape.failureModel == "DEP":
for r in range(self.shape.blockSize):
for c in range(self.shape.blockSize):
k = self.shape.blockSize/2
if (r+c) % self.shape.blockSize > k:
assert(self.shape.blockSizeR == self.shape.blockSizeC and self.shape.blockSizeRK == self.shape.blockSizeCK)
for r in range(self.shape.blockSizeR):
for c in range(self.shape.blockSizeC):
if (r+c) % self.shape.blockSizeR > self.shape.blockSizeRK:
self.block.setSegment(r,c)
elif self.shape.failureModel == "DEP+1":
for r in range(self.shape.blockSize):
for c in range(self.shape.blockSize):
k = self.shape.blockSize/2
if (r+c) % self.shape.blockSize > k:
assert(self.shape.blockSizeR == self.shape.blockSizeC and self.shape.blockSizeRK == self.shape.blockSizeCK)
for r in range(self.shape.blockSizeR):
for c in range(self.shape.blockSizeC):
if (r+c) % self.shape.blockSizeR > self.shape.blockSizeRK:
self.block.setSegment(r,c)
self.block.setSegment(0, 0)
elif self.shape.failureModel == "MREP": # Minimum size Recoverable Erasure Pattern
for r in range(self.shape.blockSize):
for c in range(self.shape.blockSize):
k = self.shape.blockSize/2
if r < k and c < k:
for r in range(self.shape.blockSizeR):
for c in range(self.shape.blockSizeC):
if r < self.shape.blockSizeRK or c < self.shape.blockSizeCK:
self.block.setSegment(r,c)
elif self.shape.failureModel == "MREP-1": # make MREP non-recoverable
for r in range(self.shape.blockSize):
for c in range(self.shape.blockSize):
k = self.shape.blockSize/2
if r < k and c < k:
for r in range(self.shape.blockSizeR):
for c in range(self.shape.blockSizeC):
if r < self.shape.blockSizeRK or c < self.shape.blockSizeCK:
self.block.setSegment(r,c)
self.block.setSegment(0, 0, 0)
nbFailures = self.block.data.count(0)
measuredFailureRate = nbFailures * 100 / (self.shape.blockSize * self.shape.blockSize)
measuredFailureRate = nbFailures * 100 / (self.shape.blockSizeR * self.shape.blockSizeC)
self.logger.debug("Number of failures: %d (%0.02f %%)", nbFailures, measuredFailureRate, extra=self.format)
def getColumn(self, index):
@ -271,7 +270,7 @@ class Validator:
def checkSegmentToNeigh(self, rID, cID, neigh):
"""Check if a segment should be sent to a neighbor."""
if not self.amImalicious:
if (neigh.sent | neigh.received).count(1) >= self.sendLineUntil:
if (neigh.sent | neigh.received).count(1) >= (self.sendLineUntilC if neigh.dim else self.sendLineUntilR):
return False # sent enough, other side can restore
i = rID if neigh.dim else cID
if not neigh.sent[i] and not neigh.received[i] :
@ -373,10 +372,10 @@ class Validator:
if not self.amImalicious:
for rID, neighs in self.rowNeighbors.items():
line = self.getRow(rID)
needed = zeros(self.shape.blockSize)
needed = zeros(self.shape.blockSizeR)
for neigh in neighs.values():
sentOrReceived = neigh.received | neigh.sent
if sentOrReceived.count(1) < self.sendLineUntil:
if sentOrReceived.count(1) < self.sendLineUntilR:
needed |= ~sentOrReceived
needed &= line
if (needed).any():
@ -386,10 +385,10 @@ class Validator:
for cID, neighs in self.columnNeighbors.items():
line = self.getColumn(cID)
needed = zeros(self.shape.blockSize)
needed = zeros(self.shape.blockSizeC)
for neigh in neighs.values():
sentOrReceived = neigh.received | neigh.sent
if sentOrReceived.count(1) < self.sendLineUntil:
if sentOrReceived.count(1) < self.sendLineUntilC:
needed |= ~sentOrReceived
needed &= line
if (needed).any():
@ -449,7 +448,7 @@ class Validator:
while t:
if self.rowIDs:
rID = random.choice(self.rowIDs)
cID = random.randrange(0, self.shape.blockSize)
cID = random.randrange(0, self.shape.blockSizeR)
if self.block.getSegment(rID, cID) :
neigh = random.choice(list(self.rowNeighbors[rID].values()))
if self.checkSegmentToNeigh(rID, cID, neigh) and not self.amImalicious:
@ -457,7 +456,7 @@ class Validator:
t = tries
if self.columnIDs:
cID = random.choice(self.columnIDs)
rID = random.randrange(0, self.shape.blockSize)
rID = random.randrange(0, self.shape.blockSizeC)
if self.block.getSegment(rID, cID) :
neigh = random.choice(list(self.columnNeighbors[cID].values()))
if self.checkSegmentToNeigh(rID, cID, neigh) and not self.amImalicious:

4
DAS/visualizer.py
View File

@ -33,12 +33,12 @@ class Visualizer:
tree = ET.parse(os.path.join(self.folderPath, filename))
root = tree.getroot()
run = int(root.find('run').text)
blockSize = int(root.find('blockSize').text)
blockSize = int(root.find('blockSizeR').text) # TODO: maybe we want both dimensions
failureRate = int(root.find('failureRate').text)
numberNodes = int(root.find('numberNodes').text)
class1ratio = float(root.find('class1ratio').text)
netDegree = int(root.find('netDegree').text)
chi = int(root.find('chi').text)
chi = int(root.find('chiR').text) # TODO: maybe we want both dimensions
vpn1 = int(root.find('vpn1').text)
vpn2 = int(root.find('vpn2').text)
bwUplinkProd = int(root.find('bwUplinkProd').text)

53
DAS/visualizor.py
View File

@ -1,6 +1,7 @@
#!/bin/python3
import matplotlib.pyplot as plt
import numpy as np
import os
def plotData(conf):
@ -87,8 +88,8 @@ class Visualizor:
"""Plots the restoreRowCount for each node"""
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+"\nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Restore Row Count for Each Node"
conf["type"] = "individual_bar"
conf["legLoc"] = 1
@ -107,8 +108,8 @@ class Visualizor:
"""Plots the restoreColumnCount for each node"""
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+"\nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Restore Column Count for Each Node"
conf["type"] = "individual_bar"
conf["legLoc"] = 1
@ -127,15 +128,15 @@ class Visualizor:
"""Plots the percentage sampleRecv for each node"""
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+"\nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Percentage of Samples Received by Nodes"
conf["type"] = "individual_bar"
conf["legLoc"] = 1
conf["desLoc"] = 1
conf["xlabel"] = "Nodes"
conf["ylabel"] = "Percentage of samples received (%)"
total_samples = result.shape.blockSize * result.shape.blockSize
total_samples = result.shape.blockSizeR * result.shape.blockSizeC
percentage_data = [(count / total_samples) * 100 for count in result.sampleRecvCount]
conf["data"] = percentage_data
conf["xdots"] = range(result.shape.numberNodes)
@ -149,8 +150,8 @@ class Visualizor:
"""Plots the missing samples in the network"""
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+"\nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Missing Samples"
conf["type"] = "plot"
conf["legLoc"] = 1
@ -177,8 +178,8 @@ class Visualizor:
vector3 = [x * 100 for x in result.metrics["progress"]["samples received"]]
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+"\nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Nodes/validators ready"
conf["type"] = "plot"
conf["legLoc"] = 2
@ -209,8 +210,8 @@ class Visualizor:
vector3[i] = (vector3[i] * 8 * (1000/self.config.stepDuration) * self.config.segmentSize) / 1000000
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+"\nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Sent data"
conf["type"] = "plot"
conf["legLoc"] = 2
@ -239,8 +240,8 @@ class Visualizor:
vector2[i] = (vector2[i] * 8 * (1000/self.config.stepDuration) * self.config.segmentSize) / 1000000
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+" \nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Received data"
conf["type"] = "plot"
conf["legLoc"] = 2
@ -269,8 +270,8 @@ class Visualizor:
vector2[i] = (vector2[i] * 8 * (1000/self.config.stepDuration) * self.config.segmentSize) / 1000000
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+" \nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Duplicated data"
conf["type"] = "plot"
conf["legLoc"] = 2
@ -294,10 +295,14 @@ class Visualizor:
"""Plots the percentage of nodes ready in the network"""
vector1 = result.metrics["rowDist"]
vector2 = result.metrics["columnDist"]
if len(vector1) > len(vector2):
vector2 += [np.nan] * (len(vector1) - len(vector2))
elif len(vector1) < len(vector2):
vector1 += [np.nan] * (len(vector2) - len(vector1))
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+" \nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Row/Column distribution"
conf["type"] = "grouped_bar"
conf["legLoc"] = 2
@ -311,7 +316,7 @@ class Visualizor:
conf["path"] = plotPath+"/RowColDist.png"
maxi = 0
for v in conf["data"]:
if max(v) > maxi:
if np.nanmax(v) > maxi:
maxi = max(v)
conf["yaxismax"] = maxi
plotData(conf)
@ -321,8 +326,8 @@ class Visualizor:
"""Plots the number of messages sent by all nodes"""
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+" \nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Number of Messages Sent by Nodes"
conf["type"] = "individual_bar"
conf["legLoc"] = 1
@ -341,8 +346,8 @@ class Visualizor:
"""Plots the number of messages received by all nodes"""
conf = {}
text = str(result.shape).split("-")
conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
conf["textBox"] = "Block SizeR: "+text[2]+"\nBlock SizeC: "+text[6]+"\nNumber of nodes: "+text[10]\
+"\nFailure rate: "+text[14]+"%"+"\nNetwork degree: "+text[32]+"\nMalicious Nodes: "+text[36]+"%"
conf["title"] = "Number of Messages Received by Nodes"
conf["type"] = "individual_bar"
conf["legLoc"] = 1