Gomapreduce parallel computing model implementation on a cluster of plan9 virtual machines

P. 0656 – 0662.

Leokhin, Y., Myagkov, A., Panfilov, P.

In this paper, we present results of a computational evaluation of goMapReduce parallel programming model approach for solving distributed data processing problems. In some applications, particularly data center problems, including text processing the programming models can aggregate significant number of parallel processes. We first discuss the implementation of these approaches using both Linux and Plan9 operating system and conduct a comparative scalability study of the both. From these results, we empirically show that, in practical implementation and evaluation of a goMapReduce model, the degree of OS's support for distributed processing encountered in solving the resulting word counting problem is crucial. We conclude that the goMapReduce approach under Plan9 may be useful in developing a heuristic approach for the data center problems.

Ключевые слова: parallel computing, a programming language Go, GoLang, MapReduce, Plan9

ПУБЛИКАЦИЯ ПОДГОТОВЛЕНА ПО РЕЗУЛЬТАТАМ ПРОЕКТА: Разработка и исследование новых методов создания распределенных энергосберегающих вычислительных систем для семантического поиска текстовой информации на основе модели вычислений с управлением потоком данных (2013)

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26th DAAAM International Symposium on Intelligent Manufacturing and Automation 2015

Vol. 1. , NY: Curran Associates, Inc., 2015.