diff --git a/DAS/__init__.py b/DAS/__init__.py index ef4ca24..abe299a 100644 --- a/DAS/__init__.py +++ b/DAS/__init__.py @@ -1 +1,2 @@ from DAS.simulator import * +from DAS.configuration import * diff --git a/DAS/block.py b/DAS/block.py index 76379d8..aa5fe01 100644 --- a/DAS/block.py +++ b/DAS/block.py @@ -9,8 +9,8 @@ class Block: blockSize = 0 data = bitarray() - def __init__(self, size): - self.blockSize = size + def __init__(self, blockSize): + self.blockSize = blockSize self.data = zeros(self.blockSize*self.blockSize) def fill(self): diff --git a/DAS/configuration.py b/DAS/configuration.py new file mode 100644 index 0000000..ded9547 --- /dev/null +++ b/DAS/configuration.py @@ -0,0 +1,30 @@ +#!/bin/python3 + +class Configuration: + + blockSize = 0 + failureRateStep = 0 + maxTries = 0 + numberValidators = 0 + chi = 0 + failureRate = 0 + deterministic = 0 + + def __init__(self, blockSize, failureRateStep, maxTries, numberValidators, chi, failureRate, deterministic): + if numberValidators < (blockSize*4): + print("ERROR: The number of validators cannot be lower than the block size * 4") + exit(1) + if chi < 1: + print("Chi has to be greater than 0") + exit(1) + if chi > blockSize: + print("Chi has to be smaller than %d" % blockSize) + exit(1) + + self.blockSize = blockSize + self.failureRateStep = failureRateStep + self.maxTries = maxTries + self.numberValidators = numberValidators + self.chi = chi + self.failureRate = failureRate + self.deterministic = deterministic diff --git a/DAS/observer.py b/DAS/observer.py index f905af3..ad9052b 100644 --- a/DAS/observer.py +++ b/DAS/observer.py @@ -5,40 +5,40 @@ from DAS.block import * class Observer: block = [] - blockSize = 0 rows = [] columns = [] goldenData = [] broadcasted = [] + config = [] logger = [] - def __init__(self, blockSize, logger): + def __init__(self, logger, config): + self.config = config self.format = {"entity": "Observer"} - self.blockSize = blockSize self.logger = logger def reset(self): - self.block = [0] * self.blockSize * self.blockSize - self.goldenData = [0] * self.blockSize * self.blockSize - self.rows = [0] * self.blockSize - self.columns = [0] * self.blockSize - self.broadcasted = Block(self.blockSize) + self.block = [0] * self.config.blockSize * self.config.blockSize + self.goldenData = [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) def checkRowsColumns(self, validators): for val in validators: - if val.proposer == 0: + if val.amIproposer == 0: for r in val.rowIDs: self.rows[r] += 1 for c in val.columnIDs: self.columns[c] += 1 - for i in range(self.blockSize): + for i in range(self.config.blockSize): 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) def setGoldenData(self, block): - for i in range(self.blockSize*self.blockSize): + for i in range(self.config.blockSize*self.config.blockSize): self.goldenData[i] = block.data[i] def checkBroadcasted(self): @@ -54,7 +54,7 @@ class Observer: arrived = 0 expected = 0 for val in validators: - if val.proposer == 0: + if val.amIproposer == 0: (a, e) = val.checkStatus() arrived += a expected += e diff --git a/DAS/simulator.py b/DAS/simulator.py index fcfeb2e..25adcc3 100644 --- a/DAS/simulator.py +++ b/DAS/simulator.py @@ -9,32 +9,26 @@ from DAS.validator import * class Simulator: - chi = 8 - blockSize = 256 - numberValidators = 8192 - failureRate = 0 proposerID = 0 logLevel = logging.INFO - deterministic = 0 validators = [] glob = [] + config = [] logger = [] format = {} - steps = 0 - def __init__(self, failureRate): - self.failureRate = failureRate + def __init__(self, config): + self.config = config self.format = {"entity": "Simulator"} - self.steps = 0 def initValidators(self): - if not self.deterministic: + if not self.config.deterministic: random.seed(datetime.now()) - self.glob = Observer(self.blockSize, self.logger) + self.glob = Observer(self.logger, self.config) self.glob.reset() self.validators = [] - for i in range(self.numberValidators): - val = Validator(i, self.chi, self.blockSize, int(not i!=0), self.failureRate, self.deterministic, self.logger) + for i in range(self.config.numberValidators): + val = Validator(i, int(not i!=0), self.logger, self.config) if i == self.proposerID: val.initBlock() self.glob.setGoldenData(val.block) @@ -43,15 +37,15 @@ class Simulator: self.validators.append(val) def initNetwork(self, d=6): - rowChannels = [[] for i in range(self.blockSize)] - columnChannels = [[] for i in range(self.blockSize)] + rowChannels = [[] for i in range(self.config.blockSize)] + columnChannels = [[] for i in range(self.config.blockSize)] for v in self.validators: for id in v.rowIDs: rowChannels[id].append(v) for id in v.columnIDs: columnChannels[id].append(v) - for id in range(self.blockSize): + for id in range(self.config.blockSize): G = nx.random_regular_graph(d, len(rowChannels[id])) if not nx.is_connected(G): self.logger.error("graph not connected for row %d !" % id, extra=self.format) @@ -86,12 +80,12 @@ class Simulator: self.validators[self.proposerID].broadcastBlock() arrived, expected = self.glob.checkStatus(self.validators) missingSamples = expected - arrived - self.steps = 0 + steps = 0 while(missingSamples > 0): oldMissingSamples = missingSamples - for i in range(1,self.numberValidators): + for i in range(1,self.config.numberValidators): self.validators[i].receiveRowsColumns() - for i in range(1,self.numberValidators): + for i in range(1,self.config.numberValidators): self.validators[i].restoreRows() self.validators[i].restoreColumns() self.validators[i].sendRows() @@ -102,16 +96,16 @@ class Simulator: arrived, expected = self.glob.checkStatus(self.validators) missingSamples = expected - arrived missingRate = missingSamples*100/expected - self.logger.info("step %d, missing %d of %d (%0.02f %%)" % (self.steps, missingSamples, expected, missingRate), extra=self.format) + self.logger.info("step %d, missing %d of %d (%0.02f %%)" % (steps, missingSamples, expected, missingRate), extra=self.format) if missingSamples == oldMissingSamples: break elif missingSamples == 0: break else: - self.steps += 1 + steps += 1 if missingSamples == 0: - self.logger.debug("The entire block is available at step %d, with failure rate %d !" % (self.steps, self.failureRate), extra=self.format) + self.logger.debug("The entire block is available at step %d, with failure rate %d !" % (steps, self.failureRate), extra=self.format) return 0 else: self.logger.debug("The block cannot be recovered, failure rate %d!" % self.failureRate, extra=self.format) diff --git a/DAS/validator.py b/DAS/validator.py index eaeb0a0..7d29a8f 100644 --- a/DAS/validator.py +++ b/DAS/validator.py @@ -10,44 +10,40 @@ from bitarray.util import zeros class Validator: ID = 0 - chi = 0 + amIproposer = 0 + config = [] format = {} - blocksize = 0 - proposer = 0 - failureRate = 0 logger = [] - def __init__(self, ID, chi, blockSize, proposer, failureRate, deterministic, logger): + def __init__(self, ID, amIproposer, logger, config): + self.config = config FORMAT = "%(levelname)s : %(entity)s : %(message)s" self.ID = ID self.format = {"entity": "Val "+str(self.ID)} - self.blockSize = blockSize - self.block = Block(blockSize) - self.receivedBlock = Block(blockSize) - self.proposer = proposer - self.failureRate = failureRate + self.block = Block(self.config.blockSize) + self.receivedBlock = Block(self.config.blockSize) + self.amIproposer = amIproposer self.logger = logger - if chi < 1: + if self.config.chi < 1: self.logger.error("Chi has to be greater than 0", extra=self.format) - elif chi > blockSize: + elif self.config.chi > self.config.blockSize: self.logger.error("Chi has to be smaller than %d" % blockSize, extra=self.format) else: - self.chi = chi - if proposer: - self.rowIDs = range(blockSize) - self.columnIDs = range(blockSize) + if amIproposer: + self.rowIDs = range(config.blockSize) + self.columnIDs = range(config.blockSize) else: self.rowIDs = [] self.columnIDs = [] - if deterministic: + if config.deterministic: random.seed(self.ID) - self.rowIDs = random.sample(range(self.blockSize), self.chi) - self.columnIDs = random.sample(range(self.blockSize), self.chi) + self.rowIDs = random.sample(range(self.config.blockSize), self.config.chi) + self.columnIDs = random.sample(range(self.config.blockSize), self.config.chi) self.rowNeighbors = collections.defaultdict(list) self.columnNeighbors = collections.defaultdict(list) def logIDs(self): - if self.proposer == 1: + if self.amIproposer == 1: self.logger.warning("I am a block proposer."% self.ID) else: self.logger.debug("Selected rows: "+str(self.rowIDs), extra=self.format) @@ -55,30 +51,30 @@ class Validator: def initBlock(self): self.logger.debug("I am a block proposer.", extra=self.format) - self.block = Block(self.blockSize) + self.block = Block(self.config.blockSize) self.block.fill() #self.block.print() def broadcastBlock(self): - if self.proposer == 0: + if self.amIproposer == 0: self.logger.error("I am NOT a block proposer", extra=self.format) else: self.logger.debug("Broadcasting my block...", extra=self.format) - order = [i for i in range(self.blockSize * self.blockSize)] + order = [i for i in range(self.config.blockSize * self.config.blockSize)] random.shuffle(order) while(order): i = order.pop() - if (random.randint(0,99) >= self.failureRate): + if (random.randint(0,99) >= self.config.failureRate): self.block.data[i] = 1 else: self.block.data[i] = 0 nbFailures = self.block.data.count(0) - measuredFailureRate = nbFailures * 100 / (self.blockSize * self.blockSize) + measuredFailureRate = nbFailures * 100 / (self.config.blockSize * self.config.blockSize) self.logger.info("Number of failures: %d (%0.02f %%)", nbFailures, measuredFailureRate, extra=self.format) #broadcasted.print() - for id in range(self.blockSize): + for id in range(self.config.blockSize): self.sendColumn(id) - for id in range(self.blockSize): + for id in range(self.config.blockSize): self.sendRow(id) def getColumn(self, index): @@ -101,7 +97,7 @@ class Validator: def receiveRowsColumns(self): - if self.proposer == 1: + if self.amIproposer == 1: self.logger.error("I am a block proposer", extra=self.format) else: self.logger.debug("Receiving the data...", extra=self.format) @@ -124,7 +120,7 @@ class Validator: n.receiveRow(rowID, line) def sendRows(self): - if self.proposer == 1: + if self.amIproposer == 1: self.logger.error("I am a block proposer", extra=self.format) else: self.logger.debug("Sending restored rows...", extra=self.format) @@ -132,7 +128,7 @@ class Validator: self.sendRow(r) def sendColumns(self): - if self.proposer == 1: + if self.amIproposer == 1: self.logger.error("I am a block proposer", extra=self.format) else: self.logger.debug("Sending restored columns...", extra=self.format) diff --git a/study.py b/study.py index 04578de..0b2fa0a 100644 --- a/study.py +++ b/study.py @@ -5,27 +5,26 @@ from DAS import * def study(): - sim = Simulator(0) + config = Configuration(64, 20, 10, 256, 8, 0, 0) + sim = Simulator(config) sim.initLogger() - maxTries = 10 - step = 20 frRange = [] resultRange = [] simCnt = 0 sim.logger.info("Starting simulations:", extra=sim.format) start = time.time() - for fr in range(0, 100, step): + for fr in range(0, 100, config.failureRateStep): if fr % 10 == 0: sim.logger.info("Failure rate %d %% ..." % fr, extra=sim.format) sim.resetFailureRate(fr) result = 0 - for i in range(maxTries): + for i in range(config.maxTries): sim.initValidators() sim.initNetwork() result += sim.run() simCnt += 1 frRange.append(fr) - resultRange.append((maxTries-result)*100/maxTries) + resultRange.append((config.maxTries-result)*100/config.maxTries) end = time.time() sim.logger.info("A total of %d simulations ran in %d seconds" % (simCnt, end-start), extra=sim.format) for i in range(len(frRange)):