//------------------------------------------------------------------------------ /* This file is part of rippled: https://github.com/ripple/rippled Copyright (c) 2012-2016 Ripple Labs Inc. Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies. THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL , DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. */ //============================================================================== #include #include #include #include #include #include namespace ripple { namespace test { class ScaleFreeSim_test : public beast::unit_test::suite { void run() override { using namespace std::chrono; using namespace csf; // Generate a quasi-random scale free network and simulate consensus // as we vary transaction submission rates int const N = 100; // Peers int const numUNLs = 15; // UNL lists int const minUNLSize = N / 4, maxUNLSize = N / 2; ConsensusParms const parms{}; Sim sim; PeerGroup network = sim.createGroup(N); // generate trust ranks std::vector const ranks = sample(network.size(), PowerLawDistribution{1, 3}, sim.rng); // generate scale-free trust graph randomRankedTrust(network, ranks, numUNLs, std::uniform_int_distribution<>{minUNLSize, maxUNLSize}, sim.rng); // nodes with a trust line in either direction are network-connected network.connectFromTrust( round(0.2 * parms.ledgerGRANULARITY)); // Initialize collectors to track statistics to report TxCollector txCollector; LedgerCollector ledgerCollector; auto colls = makeCollectors(txCollector, ledgerCollector); sim.collectors.add(colls); // Initial round to set prior state sim.run(1); // Initialize timers HeartbeatTimer heart(sim.scheduler, seconds(10s)); // Run for 10 minues, submitting 100 tx/second std::chrono::nanoseconds const simDuration = 10min; std::chrono::nanoseconds const quiet = 10s; Rate const rate{100, 1000ms}; // txs, start/stop/step, target auto peerSelector = makeSelector(network.begin(), network.end(), ranks, sim.rng); auto txSubmitter = makeSubmitter(ConstantDistribution{rate.inv()}, sim.scheduler.now() + quiet, sim.scheduler.now() + (simDuration - quiet), peerSelector, sim.scheduler, sim.rng); // run simulation for given duration heart.start(); sim.run(simDuration); BEAST_EXPECT(sim.branches() == 1); BEAST_EXPECT(sim.synchronized()); // TODO: Clean up this formatting mess!! log << "Peers: " << network.size() << std::endl; log << "Simulated Duration: " << duration_cast(simDuration).count() << " ms" << std::endl; log << "Branches: " << sim.branches() << std::endl; log << "Synchronized: " << (sim.synchronized() ? "Y" : "N") << std::endl; log << std::endl; txCollector.report(simDuration, log); ledgerCollector.report(simDuration, log); // Print summary? // # forks? # of LCLs? // # peers // # tx submitted // # ledgers/sec etc.? } }; BEAST_DEFINE_TESTSUITE_MANUAL(ScaleFreeSim, consensus, ripple); } // namespace test } // namespace ripple