def main() -> None:
stats = read_stats("redis.json")
settings = create_settings()
setup_remote_network(settings)
record_count = 100000
op_count = 10000
benchmark = Benchmark(settings, record_count, op_count)
benchmarks = {
"native": benchmark_redis_native,
"sgx-lkl": benchmark_redis_sgx_lkl,
"sgx-io": benchmark_redis_sgx_io,
"scone": benchmark_redis_scone,
}
system = set(stats["system"])
for name, benchmark_func in benchmarks.items():
if name in system:
print(f"skip {name} benchmark")
continue
benchmark_func(benchmark, stats)
write_stats("redis.json", stats)
csv = f"redis-{NOW}.tsv"
print(csv)
throughput_df = pd.DataFrame(stats)
throughput_df.to_csv(csv, index=False, sep="\t")
throughput_df.to_csv("redis-latest.tsv", index=False, sep="\t")
def main() -> None:
settings = create_settings()
setup_remote_network(settings)
benchmark = Benchmark(settings)
run_variant("all-on", benchmark, extra_env={})
run_variant("offload_off",
benchmark,
extra_env=dict(SGXLKL_GSO_OFFLOAD="0",
SGXLKL_CHKSUM_OFFLOAD="0"))
run_variant("zerocopy_off",
benchmark,
extra_env=dict(SGXLKL_DPDK_ZEROCOPY="0"))
def main() -> None:
stats = read_stats("network-test-bs.json")
settings = create_settings()
setup_remote_network(settings)
benchmark = Benchmark(settings)
benchmarks = {
#"sgx-lkl": benchmark_nw_test_sgx_lkl,
"sgx-io": benchmark_nw_test_sgx_io,
}
system = set(stats["system"])
for name, bench_func in benchmarks.items():
if name in system:
print(f"skip {name} benchmark")
continue
bench_func(benchmark, stats)
write_stats("network-test-bs.json", stats)
csv = f"network-test-bs-{NOW}.tsv"
throughput_df = pd.DataFrame(stats)
throughput_df.to_csv(csv, index=False, sep="\t")
throughput_df.to_csv("network-test-bs-latest.tsv", index=False, sep="\t")
def main() -> None:
stats = read_stats("iperf.json")
settings = create_settings()
setup_remote_network(settings)
benchmark = Benchmark(settings)
benchmarks = {
"native": benchmark_native,
"sgx-io": benchmark_sgx_io,
"sgx-lkl": benchmark_sgx_lkl,
"scone": benchmark_scone,
}
system = set(stats["system"])
for name, benchmark_func in benchmarks.items():
if name in system:
print(f"skip {name} benchmark")
continue
benchmark_func(benchmark, stats)
write_stats("iperf.json", stats)
csv = f"iperf-latest.tsv"
print(csv)
pd.DataFrame(stats).to_csv(csv, index=False, sep="\t")