Fixed MHOD: first updating windows, then selecting estimates
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022effa50f
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4668e2e7c4
@ -118,13 +118,6 @@ def mhod(state_config, otf, window_sizes, bruteforce_step, learning_steps,
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total_time = len(utilization)
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state_vector = build_state_vector(state_config, utilization)
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current_state = get_current_state(state_vector)
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selected_windows = estimation.select_window(
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state['variances'],
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state['acceptable_variances'],
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window_sizes)
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p = estimation.select_best_estimates(
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state['estimate_windows'],
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selected_windows)
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state['request_windows'] = estimation.update_request_windows(
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state['request_windows'],
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@ -144,6 +137,14 @@ def mhod(state_config, otf, window_sizes, bruteforce_step, learning_steps,
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state['previous_state'])
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state['previous_state'] = current_state
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selected_windows = estimation.select_window(
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state['variances'],
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state['acceptable_variances'],
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window_sizes)
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p = estimation.select_best_estimates(
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state['estimate_windows'],
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selected_windows)
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log.debug('MHOD utilization:' + str(utilization))
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if len(utilization) >= learning_steps:
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state_history = utilization_to_states(state_config, utilization)
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