56 lines
2.0 KiB
Python
56 lines
2.0 KiB
Python
# Copyright 2012 Anton Beloglazov
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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
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#
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# 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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"""Functions for defing the NLP problem of the MHOD algorithm.
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"""
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import operator
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def build_objective(ls, state_vector, p):
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"""Creates an objective function, which is a sum of the L functions.
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:param ls: A list of L functions.
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:param state-vector: A state vector.
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:param p: A matrix of transition probabilities.
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:return: An objective function.
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"""
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def objective(*m):
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return sum(l(state_vector, p, list(m)) for l in ls)
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return objective
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def build_constraint(otf, migration_time, ls, state_vector,
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p, time_in_states, time_in_state_n):
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"""Creates an optimization constraint from the L functions.
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:param otf: The OTF parameter.
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:param migration_time: The VM migration time in time steps.
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:param ls: A list of L functions.
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:param state-vector: A state vector.
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:param p: A matrix of transition probabilities.
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:param time_in_states: The total time in all the states in time steps.
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:param time_in_state_n: The total time in the state N in time steps.
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:return: The created constraint.
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"""
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def constraint(*m):
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m_list = list(m)
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return float(migration_time +
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time_in_state_n +
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ls[-1](state_vector, p, m_list)) / \
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(migration_time +
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time_in_states +
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sum(l(state_vector, p, m_list) for l in ls))
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return constraint, operator.le, otf
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