def onePassLearningVsPressure(): factory = GridNetworkFactory(makeSimpleNode(),Queues) resultBP = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makeCNode(1),Queues) resultLQ = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makeCNode(10),Queues) resultLQ2 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) for item in ['aveDelay','aveDRate']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-o',label ='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-v',label ='lq=1') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-x',label ='lq=10') py.legend(loc=0) py.savefig('onePassLearning_'+item) py.close()
def PaperTwoTest_onePassLearningVsPressure(): factory = GridNetworkFactory(makeSimpleNode(), Queues) resultBP = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeCNode(2), Queues) resultLQ = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) labels = {'aveDelay':'Average end-to-end delay',\ 'aveDRate':'Delivery rate',\ 'aveHop':'Average hop count',\ 'aveBacklog':'Per-node queue lengths'} for item in ['aveDelay', 'aveDRate', 'aveHop', 'aveBacklog']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-o', label='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-v', label='M=2') py.xlabel("$\lambda$") py.ylabel(labels[item]) py.legend(loc=0) py.savefig('PaperTwo_onePassLearning_' + item) py.close()
def Test(): factory = GridNetworkFactory(makeSimpleNode(),Queues) result = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) #print result py.plot(gobalRateList,result,'-o',label ='bp') #factory = GridNetworkFactory(makeSimpleNode(),ShadowQueues) #result = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) #py.plot(gobalRateList,result,'-v',label ='sq') #factory = GridNetworkFactory(makeOMNode(1),Queues) #result = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) #py.plot(gobalRateList,result,'-+',label ='om') #factory = GridNetworkFactory(makeMNode(2),Queues) #result = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) #py.plot(gobalRateList,result,'-*',label ='mm=2') #factory = GridNetworkFactory(makeMNode(4),ShadowQueues) #result = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) #py.plot(gobalRateList,result,'-s',label ='ms=4') py.legend(loc=0) py.show()
def paperOneTestDA(): factory = GridNetworkFactory(makeSimpleNode(),Queues) resultBP = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(SPNode,SPQueues) resultLQ2 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makeMNode(4),Queues) resultLQ3 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) labels = {'aveDelay':'Average end-to-end delay',\ 'aveDRate':'Delivery rate',\ 'aveHop':'Average hop count',\ 'aveBacklog':'Per-node queue lengths'} for item in ['aveDelay','aveDRate','aveHop','aveBacklog']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-o',label ='bp') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-x',label ='K=10') entry = [resultLQ3[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-p',label ='M=4') py.xlabel("$\lambda$") py.ylabel(labels[item]) py.grid py.legend(loc=0) py.savefig('PaperOneTest_differentAlgorithms_other_'+labels[item]) py.close()
def PaperTwoTest_DA(): factory = GridNetworkFactory(makeSimpleNode(),Queues) resultBP = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(SPNode,SPQueues) resultLQ = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makePNode(0.5),Queues) resultLQ2 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) labels = {'aveDelay':'Average end-to-end delay',\ 'aveDRate':'Delivery rate',\ 'aveHop':'Average hop count',\ 'aveBacklog':'Per-node queue lengths'} for item in ['aveDelay','aveDRate','aveHop','aveBacklog']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-o',label ='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-v',label ='K=10') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-x',label ='r=0.5') py.xlabel("$\lambda$") py.ylabel(labels[item]) py.legend(loc=0) py.savefig('PaperTwoTest_DA_'+item) py.close()
def NewQueuesTest(): factory = GridNetworkFactory(makeSimpleNode(),Queues) resultBP = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makeNewNode(1),NewQueues) resultLQ = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(SPNode,SPQueues) resultLQ2 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makeNewNode(0.8),NewQueues) resultLQ3 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) for item in ['aveDelay','aveDRate']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-o',label ='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-v',label ='nq=1') entry = [resultLQ3[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-p',label ='nq=0.7') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-x',label ='sp=1') py.legend(loc=0) py.savefig('newQueuesTest_'+item) py.close()
def Test(): factory = GridNetworkFactory(makeSimpleNode(), Queues) result = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) #print result py.plot(gobalRateList, result, '-o', label='bp') #factory = GridNetworkFactory(makeSimpleNode(),ShadowQueues) #result = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) #py.plot(gobalRateList,result,'-v',label ='sq') #factory = GridNetworkFactory(makeOMNode(1),Queues) #result = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) #py.plot(gobalRateList,result,'-+',label ='om') #factory = GridNetworkFactory(makeMNode(2),Queues) #result = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) #py.plot(gobalRateList,result,'-*',label ='mm=2') #factory = GridNetworkFactory(makeMNode(4),ShadowQueues) #result = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) #py.plot(gobalRateList,result,'-s',label ='ms=4') py.legend(loc=0) py.show()
def PerodicPossiblityLearningVsPressure(): factory = GridNetworkFactory(makeSimpleNode(),Queues) resultBP = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makePNode(0.9),Queues) resultLQ = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makePNode(0.5),Queues) resultLQ2 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) for item in ['aveDelay','aveDRate']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-o',label ='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-v',label ='a=0.9') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-x',label ='a=0.5') py.legend(loc=0) py.savefig('PerodicPossiblityLearning_with_redo_add_'+item) py.close()
def PerodicPossiblityLearningVsPressure(): factory = GridNetworkFactory(makeSimpleNode(), Queues) resultBP = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makePNode(0.9), Queues) resultLQ = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makePNode(0.5), Queues) resultLQ2 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) for item in ['aveDelay', 'aveDRate']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-o', label='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-v', label='a=0.9') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-x', label='a=0.5') py.legend(loc=0) py.savefig('PerodicPossiblityLearning_with_redo_add_' + item) py.close()
def onePassLearningVsPressure(): factory = GridNetworkFactory(makeSimpleNode(), Queues) resultBP = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeCNode(1), Queues) resultLQ = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeCNode(10), Queues) resultLQ2 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) for item in ['aveDelay', 'aveDRate']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-o', label='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-v', label='lq=1') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-x', label='lq=10') py.legend(loc=0) py.savefig('onePassLearning_' + item) py.close()
def oneRoundDelay(step = 10000): injectRate = 0.9 factory = GridNetworkFactory(makeSimpleNode(),Queues) factory.constructNetwork(6,6)\ .setFlow(Flow((0,0),(0,5),injectRate))\ .setFlow(Flow((5,0),(5,5),injectRate))\ .setFlow(Flow((2,0),(3,5),injectRate)) network = factory.getNetwork() packetFactory = PacketFactory() simulator = \ Simulator(network,step,ConstLinkRateGenerator(1),packetFactory) simulator.run() #simulator.printNetwork() stat = simulator.getStaticsInfo() print stat['aveDelay'] packetPool = sorted(stat['packetPool'],key=lambda p: p.getID) py.subplot(211) py.vlines([p.getCreateTime() for p in packetPool],[1],[p.getDelay() for p in packetPool],'r') py.xlabel('Packet create time(bp with $\lambda$ = 0.9)') py.ylabel('delay') py.grid(True) injectRate = 0.9 factory = GridNetworkFactory(makeMNode(2),Queues) factory.constructNetwork(6,6)\ .setFlow(Flow((0,0),(0,5),injectRate))\ .setFlow(Flow((5,0),(5,5),injectRate))\ .setFlow(Flow((2,0),(3,5),injectRate)) network = factory.getNetwork() packetFactory = PacketFactory() simulator = \ Simulator(network,step,ConstLinkRateGenerator(1),packetFactory) simulator.run() #simulator.printNetwork() stat = simulator.getStaticsInfo() print stat['aveDelay'] packetPool = sorted(stat['packetPool'],key=lambda p: p.getID) py.subplot(212) py.vlines([p.getCreateTime() for p in packetPool],[1],[p.getDelay() for p in packetPool],'b') py.xlabel('Packet create time (m=2 with $\lambda$ = 0.9)') py.ylabel('delay') py.grid(True) py.savefig('packetDelayInOneRound_09') py.show()
def oneRoundDelay(step=10000): injectRate = 0.9 factory = GridNetworkFactory(makeSimpleNode(), Queues) factory.constructNetwork(6,6)\ .setFlow(Flow((0,0),(0,5),injectRate))\ .setFlow(Flow((5,0),(5,5),injectRate))\ .setFlow(Flow((2,0),(3,5),injectRate)) network = factory.getNetwork() packetFactory = PacketFactory() simulator = \ Simulator(network,step,ConstLinkRateGenerator(1),packetFactory) simulator.run() #simulator.printNetwork() stat = simulator.getStaticsInfo() print stat['aveDelay'] packetPool = sorted(stat['packetPool'], key=lambda p: p.getID) py.subplot(211) py.vlines([p.getCreateTime() for p in packetPool], [1], [p.getDelay() for p in packetPool], 'r') py.xlabel('Packet create time(bp with $\lambda$ = 0.9)') py.ylabel('delay') py.grid(True) injectRate = 0.9 factory = GridNetworkFactory(makeMNode(2), Queues) factory.constructNetwork(6,6)\ .setFlow(Flow((0,0),(0,5),injectRate))\ .setFlow(Flow((5,0),(5,5),injectRate))\ .setFlow(Flow((2,0),(3,5),injectRate)) network = factory.getNetwork() packetFactory = PacketFactory() simulator = \ Simulator(network,step,ConstLinkRateGenerator(1),packetFactory) simulator.run() #simulator.printNetwork() stat = simulator.getStaticsInfo() print stat['aveDelay'] packetPool = sorted(stat['packetPool'], key=lambda p: p.getID) py.subplot(212) py.vlines([p.getCreateTime() for p in packetPool], [1], [p.getDelay() for p in packetPool], 'b') py.xlabel('Packet create time (m=2 with $\lambda$ = 0.9)') py.ylabel('delay') py.grid(True) py.savefig('packetDelayInOneRound_09') py.show()
def otherTest(): factory = GridNetworkFactory(makeSimpleNode(), Queues) resultBP = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeNewNode(0.8), NewQueues) resultLQ = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeNewNode(0.8), TestQueues) resultLQ2 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeNewNode(0.8), TestSquareQueues) resultLQ3 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) labels = {'aveDelay':'Average end-to-end delay',\ 'aveDRate':'Delivery rate',\ 'aveHop':'Average hop count',\ 'aveBacklog':'Per-node queue lengths'} for item in ['aveDelay', 'aveDRate', 'aveHop', 'aveBacklog']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-o', label='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-v', label='original') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-x', label='doubleRule') entry = [resultLQ3[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-+', label='squareRule') py.xlabel("$\lambda$") py.ylabel(labels[item]) py.grid(True) py.legend(loc=0) py.savefig('otherTest_' + item) py.close()
def paperOneTestSA(): factory = GridNetworkFactory(makeSimpleNode(), Queues) resultBP = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeMNode(2), Queues) resultLQ3 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeMNode(4), Queues) resultLQ4 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeMNode(6), Queues) resultLQ5 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) labels = {'aveDelay':'Average end-to-end delay',\ 'aveDRate':'Delivery rate',\ 'aveHop':'Average hop count',\ 'aveBacklog':'Per-node queue lengths'} for item in ['aveDelay', 'aveDRate', 'aveHop', 'aveBacklog']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-o', label='bp') entry = [resultLQ3[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-p', label='M=2') entry = [resultLQ4[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-x', label='M=4') entry = [resultLQ5[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-x', label='M=6') py.xlabel("$\lambda$") py.ylabel(labels[item]) py.legend(loc=0) py.savefig('PaperOneTest_sameAlgorithms_' + labels[item]) py.close()
def newTest(): factory = GridNetworkFactory(makeSimpleNode(), Queues) resultBP = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makePNode(0.5), Queues) resultLQ = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(SPNode, SPQueues) resultLQ2 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeMNode(2), Queues) resultLQ3 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) #factory = GridNetworkFactory(makeCNode(1),Queues) #resultLQ4 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) for item in ['aveDelay', 'aveDRate']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-o', label='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-v', label='pl=0.5') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-x', label='sp=1') entry = [resultLQ3[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-p', label='mm=2') #entry = [resultLQ4[key][item] for key in gobalRateList] #py.plot(gobalRateList,entry,'-+',label ='ol=1') py.legend(loc=0) py.savefig('newTest_' + item) py.close()
def PaperThree_NewQueuesTest_DA(): factory = GridNetworkFactory(makeSimpleNode(), Queues) resultBP = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(SPNode, SPQueues) resultLQ2 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeNewNode(0.8), NewQueues) resultLQ3 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) labels = {'aveDelay':'Average end-to-end delay',\ 'aveDRate':'Delivery rate',\ 'aveHop':'Average hop count',\ 'aveBacklog':'Per-node queue lengths'} for item in ['aveDelay', 'aveDRate', 'aveHop', 'aveBacklog']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-o', label='bp') entry = [resultLQ3[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-p', label='r=0.8') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-x', label='K=10') py.xlabel("$\lambda$") py.ylabel(labels[item]) py.legend(loc=0) py.savefig('PaperThree_newQueuesTest_DA_' + item) py.close()
def otherTest(): factory = GridNetworkFactory(makeSimpleNode(),Queues) resultBP = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makeNewNode(0.8),NewQueues) resultLQ = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makeNewNode(0.8),TestQueues) resultLQ2 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makeNewNode(0.8),TestSquareQueues) resultLQ3 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) labels = {'aveDelay':'Average end-to-end delay',\ 'aveDRate':'Delivery rate',\ 'aveHop':'Average hop count',\ 'aveBacklog':'Per-node queue lengths'} for item in ['aveDelay','aveDRate','aveHop','aveBacklog']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-o',label ='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-v',label ='original') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-x',label ='doubleRule') entry = [resultLQ3[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-+',label ='squareRule') py.xlabel("$\lambda$") py.ylabel(labels[item]) py.grid(True) py.legend(loc=0) py.savefig('otherTest_'+item) py.close()
def NewQueuesTest(): factory = GridNetworkFactory(makeSimpleNode(), Queues) resultBP = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeNewNode(1), NewQueues) resultLQ = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(SPNode, SPQueues) resultLQ2 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) factory = GridNetworkFactory(makeNewNode(0.8), NewQueues) resultLQ3 = mainProcessCtrl(factory=factory, rateList=gobalRateList, threadNum=3) for item in ['aveDelay', 'aveDRate']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-o', label='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-v', label='nq=1') entry = [resultLQ3[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-p', label='nq=0.7') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList, entry, '-x', label='sp=1') py.legend(loc=0) py.savefig('newQueuesTest_' + item) py.close()
def newTest(): factory = GridNetworkFactory(makeSimpleNode(),Queues) resultBP = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makePNode(0.5),Queues) resultLQ = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(SPNode,SPQueues) resultLQ2 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) factory = GridNetworkFactory(makeMNode(2),Queues) resultLQ3 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) #factory = GridNetworkFactory(makeCNode(1),Queues) #resultLQ4 = mainProcessCtrl(factory=factory,rateList=gobalRateList,threadNum=3) for item in ['aveDelay','aveDRate']: entry = [resultBP[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-o',label ='bp') entry = [resultLQ[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-v',label ='pl=0.5') entry = [resultLQ2[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-x',label ='sp=1') entry = [resultLQ3[key][item] for key in gobalRateList] py.plot(gobalRateList,entry,'-p',label ='mm=2') #entry = [resultLQ4[key][item] for key in gobalRateList] #py.plot(gobalRateList,entry,'-+',label ='ol=1') py.legend(loc=0) py.savefig('newTest_'+item) py.close()