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 Naive Bayesian Based Target Selection for Distributed Real-Time System. A new target selection approach for achieving timeliness in distributed real-time system
Наименование:

Naive Bayesian Based Target Selection for Distributed Real-Time System. A new target selection approach for achieving timeliness in distributed real-time system

автор Radhika G. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 96        мягкая обложка       
Аннотация:With this constantly updated information, nodes probabilistically estimate the best buddy node for migration. This was also used as a baseline to compare the performance of Naive-Bayesian classifier based target selection approach. This information educates the node about the job arrival pattern on the remote node, load information and responses to the previous migration attempts. Naive Bayesian approach incurs minimal computational overhead, making the target selection highly efficient and is very effective in heterogeneous distributed environment as well. This book also discusses architecture of a new distributed real-time OS RK+OpenMosix designed to achieve decentralize online task scheduling and independence from underlying network architecture. In this approach, nodes use Naive Bayesian classifier to dynamically learn the behavior of buddy nodes over a period of time. This book introduces an innovative yet very simple approach to solve the most important issue in distributed real-time environment - target selection for task migration. It addresses inherent in-deterministic network delay and difficulty to predict the behavior of participating nodes in target selection.
Автор: Radhika G.
Издательство: Книга по Требованию
Год:2010
Цена:
2007 руб
Нет в наличии
Поиск: Naive Bayesian Based Target Selection for Distributed Real-Time System. A new target selection approach for achieving timeliness in distributed real-time system
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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