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Оценки длительности выполнения запроса в распределённых системах ОВД с помощью метода динамического программирования

Оценки длительности выполнения запроса в распределённых системах ОВД с помощью метода динамического программирования

Abstract

Modified dynamic programming method to solve task scheduling theory is proposed. It should be stressed that method differs from the various known methods using heuristic algorithm to reduce dimension of a graph partial solution. The proposed method leads to descend computational complexity.

Предложен модифицированный метод динамического программирования для решения задачи теории расписаний. Отличается использованием эвристических алгоритмов для сокращения размерности графа частичных решений, что приводит к снижению вычислительной сложности.

Keywords

BELLMAN'S PRINCIPLE OF OPTIMALITY, ОЦЕНКА ДЛИТЕЛЬНОСТИ ВЫПОЛНЕНИЯ ЗАПРОСА, ЗАДАЧА ТЕОРИИ РАСПИСАНИЙ, ТОЧНЫЕ МЕТОДЫ И АЛГОРИТМЫ ОПТИМИЗАЦИИ, МЕТОД ДИНАМИЧЕСКОГО ПРОГРАММИРОВАНИЯ, ГРАФ ЧАСТИЧНЫХ РЕШЕНИЙ, ЯРУСНО-ПАРАЛЛЕЛЬНАЯ ФОРМА ГРАФА, ПРИНЦИП БЕЛЛМАНА

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average