From 2435fe150ec10daa37f66df01888213e210e6757 Mon Sep 17 00:00:00 2001 From: Michael Vrable Date: Sun, 24 Oct 2010 22:15:41 -0700 Subject: [PATCH] Updates to the workload generator and some results from runs. --- microbench/microbench.py | 11 + microbench/workload.py | 62 +- results/workload/results1.json | 49781 ++++++ results/workload/results2.json | 276493 ++++++++++++++++++++++++++++++ 4 files changed, 326335 insertions(+), 12 deletions(-) create mode 100644 results/workload/results1.json create mode 100644 results/workload/results2.json diff --git a/microbench/microbench.py b/microbench/microbench.py index 313828a..f8b89ea 100755 --- a/microbench/microbench.py +++ b/microbench/microbench.py @@ -74,6 +74,17 @@ class TestCommands: return [time.time() - start] + def large_read(self): + buf = None + + start = time.time() + fp = open("largefile") + while buf != "": + buf = fp.read(1048576) + fp.close() + + return [time.time() - start] + def shell(self): subprocess.call(['/bin/sh']) diff --git a/microbench/workload.py b/microbench/workload.py index d459b9d..3ec8942 100755 --- a/microbench/workload.py +++ b/microbench/workload.py @@ -4,21 +4,43 @@ # files with a specified working set size, and measure the response time to do # so. -import json, os, random, sys, threading, time +import json, math, os, random, sys, threading, time THREADS = 1 +def percentile(rank, elements): + """Return the value at a fraction rank from the beginning of the list.""" + + # Convert a fraction [0.0, 1.0] to a fractional index in elements. + rank = rank * (len(elements) - 1) + + # Round the index value to the nearest integer values, then interpolate. + prev = int(math.floor(rank)) + next = int(math.ceil(rank)) + frac = rank - prev + + return (1.0 - frac) * elements[prev] + frac * elements[next] + class WorkerThread: """Performs a mix of file system operations and records the performance.""" + PARAMS = ['duration', 'write_fraction', 'wss_count', 'tot_count', + 'filesize', 'target_ops'] + def __init__(self): self.stats = [] - self.duration = 10.0 # Seconds for which to run - self.write_fraction = 0.3 # Fraction of operations which are writes - self.wss_count = 16 # Files in the working set - self.tot_count = 32 # Total number of files created - self.filesize = 32 * 1024 # Size of files to work with - self.target_ops = 2 # Target operations/second/thread + self.duration = 7200.0 # Seconds for which to run + self.write_fraction = 0.5 # Fraction of operations which are writes + self.wss_count = 2048 # Files in the working set + self.tot_count = 2048 # Total number of files created + self.filesize = 256 * 1024 # Size of files to work with + self.target_ops = 10 # Target operations/second/thread + + def get_params(self): + params = {} + for p in self.PARAMS: + params[p] = getattr(self, p) + return params def setup(self): for i in range(self.tot_count): @@ -56,25 +78,38 @@ class WorkerThread: fp.close() return ('read', filename) +def print_distribution_stats(stats): + stats = sorted(stats) + print " Count:", len(stats) + if len(stats) == 0: return + print " Average:", sum(stats) / len(stats) + for (s, p) in [("Min", 0.0), ("Med", 0.5), ("90%", 0.9), + ("95%", 0.95), ("Max", 1.0)]: + print " %s: %s" % (s, percentile(p, stats)) + def run_stats(stats): duration = max(x[0] for x in stats) - min(x[0] for x in stats) latencies = [x[1] for x in stats] latencies.sort() print "Experiment duration:", duration - print "Operation count:", len(stats) - print "Latencies:", latencies - print "Average latency:", sum(latencies) / len(latencies) + print "READS:" + print_distribution_stats([x[1] for x in stats if x[2][0] == 'read']) + print "WRITES:" + print_distribution_stats([x[1] for x in stats if x[2][0] == 'write']) if __name__ == '__main__': workers = [] threads = [] for i in range(THREADS): w = WorkerThread() - if i == 0: w.setup() + #if i == 0: w.setup() t = threading.Thread(target=w.run) threads.append(t) workers.append(w) t.start() + + print json.dumps(workers[0].get_params(), indent=2) + for t in threads: t.join() @@ -83,5 +118,8 @@ if __name__ == '__main__': results += w.stats results.sort() - print json.dumps(results, indent=2) + fp = open('/tmp/results.json', 'w') + fp.write(json.dumps(workers[0].get_params(), indent=2) + "\n\n") + fp.write(json.dumps(results, indent=2)) + fp.close() run_stats(results) diff --git a/results/workload/results1.json b/results/workload/results1.json new file mode 100644 index 0000000..cdd7731 --- /dev/null +++ b/results/workload/results1.json @@ -0,0 +1,49781 @@ +# WSS = 2*Cache, 50% writes, no range requests + +# Store[s3]: GETS: count=2105 sum=6424690614 +# Store[s3]: PUTS: count=691 sum=1396087385 +# NFS RPC Messages In: count=32915 sum=1349151204 +# NFS RPC Messages Out: count=32914 sum=775012224 + +# Experiment duration: 3598.77858901 +# READS: +# Count: 3132 +# Average: 0.996410512528 +# Min: 0.000421047210693 +# Med: 0.560897946358 +# 90%: 2.2529569149 +# 95%: 3.34272917509 +# Max: 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