This paper discusses an approach for deploying command-line applications on cloud computing platforms. The main focus of the paper is on execution of scientific algorithms (such as algorithms from the music information retrieval domain) by enabling the sharing of algorithm implementations, the reproducibility of results, and an easy access to non-experts of distributed environments. We propose a method of automatic deployment of client command line applications in PaaS and IaaS clouds which, unlike to existing approaches, requires neither preliminary platform configuration, nor platform configuration description. We designed a deployment manager using an expert system in order to automatically setup a virtual execution platform, by resolving dependencies and solving configuration issues on the basis of a pre-existing knowledge base.
Аннотация. Проведен анализ алгоритма выделения в паролях пользователей слов на естественных языках (токенизации), предложенного ранее в работе R. Veras et al. [1] (RVалгоритм). Выявлены основные недостатки данного подхода. Предложен новый алгоритм токенизации (RGramToken) на основе частотных словарей слов, биграмм и триграмм, позволяющий лучше учесть информацию о вероятности использования слов и словосочетаний в естественном языке. Подготовлены тестовые выборки фраз с учетом возможных искажений типа «вставка» между словами естественного языка. Проведен сравнительный анализ результатов работы на тестовых и реальных выборках алгоритма RGramToken с RV-алгоритмом. Показано более высокое качество токенизации предложенным в работе алгоритмом на искаженных фразах, а также устойчивость к качеству используемых словарей. Ключевые слова: пароли, утечки, токенизация, разбиение на слова.
This article discusses the issue of assessment of the quality of petroleum pipeline preparation for light oil product transportation. The need to implement appropriate measures is conditioned by the requirement to maintain the quality of oil products during their transportation. We identified vulnerable indicators, which are most prone to change if oil products contact with asphaltene-resin-paraffin deposits remaining in the pipeline, as well as estimated probability of failures and emergencies if off-spec oil products are used in automotive and aviation equipment. The scope of the article includes considering variants of technical solutions for the cleanup of the line part of petroleum pipelines and process pipelines of oil pumping stations from asphaltene-resin-paraffin deposits using specially selected chemical reagents and the methodology for assessing the quality of their preparation for oil product transportation. We considered the order of estimation of the possible volume of off-spec oil products formed as a result of the oil product’s contact with residues of the cleanup products and chemical reagents located in the cavity of the pipeline and provided the results of the implementation of technical solutions to ensure the quality of petroleum pipeline cleanup at the facilities of PJSC Transneft repurposed for oil product transportation in 2014–2017.
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