Michael Handschuh
1a0947aa59
The inspiration for this implementation design comes directly from: https://github.com/mxplusb/TokenBucket Minor modifications were made, including a prominent behavior change that prevents the Refill method from executing the initial refill before any time has passed. We'll use the leaky bucket algorithm to track consumption of CPU resources by the soon-to-be-implemented training feature.
36 lines
1.5 KiB
C#
36 lines
1.5 KiB
C#
/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System.Threading;
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namespace QuantConnect.Util.RateLimit
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{
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/// <summary>
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/// Provides a CPU intensive means of waiting for more tokens to be available in <see cref="ITokenBucket"/>.
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/// This strategy is only viable when the requested number of tokens is expected to become available in an
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/// extremely short period of time. This implementation aims to keep the current thread executing to prevent
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/// potential content switches arising from a thread yielding or sleeping strategy.
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/// </summary>
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public class BusyWaitSleepStrategy : ISleepStrategy
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{
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/// <summary>
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/// Provides a CPU intensive sleep by executing <see cref="Thread.SpinWait"/> for a single spin.
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/// </summary>
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public void Sleep()
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{
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Thread.SpinWait(1);
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}
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}
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} |