Пример #1
0
def getBurstSizeGenerator(conf, verbose):
    if conf.get("Burst Size Distribution", "method") == "analytical":
        if verbose:
            print "-> Generating burst sizes from analytical function (powerlaw)"
        mina = conf.get("Burst Size Distribution", "llimit")
        maxa = conf.get("Burst Size Distribution", "ulimit")
        bstable = genPowerlawTable(mina, maxa, conf.get("Burst Size Distribution", "lambda"))
        burstGenerator = lambda:getAcceptRejectBurst(bstable, mina, maxa)
    elif conf.get("Burst Size Distribution", "method") == "file":
        if verbose:
            print "-> Using burst sizes from file", conf.get("Burst Size Distribution", "bsdfile")
        if conf.get("Burst Size Distribution", "apply") == "corrected":
            bsizes = readBurstSizes(conf.get("Burst Size Distribution", "bsdfile"))
        else:
            bsizes = readBurstSizes(conf.get("Burst Size Distribution", "bsdfile"), corrected = False)
        burstGenerator = lambda:pyrand.choice(bsizes)
    return burstGenerator
Пример #2
0
def getExpBurstgen(bsdfile):
    print "Using experimental BSD from", bsdfile
    bsizes = readBurstSizes(bsdfile)
    burstGenerator = lambda : random.choice(bsizes)
    return burstGenerator
Пример #3
0
def getExpBurstgen(bsdfile):
    print "Using experimental BSD from", bsdfile
    bsizes = readBurstSizes(bsdfile)
    burstGenerator = lambda: random.choice(bsizes)
    return burstGenerator