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Моделирование вычислительных систем с переменным потоком данных

Моделирование вычислительных систем с переменным потоком данных

Abstract

Рассмотрены вопросы моделирования и расчета вычислительных распределенных систем. Для моделирования применен метод «Network calculus», базирующийся на мини(макси-) плюс алгебре. Основное внимание уделено вычислительным системам с неравным на длительном интервале наблюдения объемом принимаемых и передаваемых компонентом данных. Предложено применять обобщенное преобразование Лежандра для расчета конверта выходного потока системы. Приведены примеры моделирования вычислительной системы с суммированием двух потоков, где основной поток имеет вид T-SPEC и моделирования фрагмента вычислительной системы с линейным преобразованием потока и пакетированием.

The questions of computational modeling of distributed systems are analyzed. For simulation the network calculus method derived from the mini (maxi) plus algebra is considered. The simulation focuses on an area of network systems with a variable flow of data between system components. The simulation is based on use of the extended slope (Legendre) transform to calculate the envelope of the output flow for the system. An example of modeling a computer system with summation of two flows when one flow has T-SPEC shape is presented. The second example deals with system with linear flow change and packetizing effect.

Keywords

РАСПРЕДЕЛЕННАЯ ВЫЧИСЛИТЕЛЬНАЯ СИСТЕМА, МЕТОД «NETWORK CALCULUS», ПРЕОБРАЗОВАНИЕ ЛЕЖАНДРА

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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
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