Grid computing for all

Vandenberg, Art

doi:10.1145/1167350.1167353

Cited by 4 publications

(3 citation statements)

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“…The computer utility could become the basis of a new and important industry." [77] His concept was the basis for the idea of Douglas Parkhill [43,45,77,87] to create a grid computing paradigm that was described later in 1966 and was a set of computers connected over a grid that take the computing decisions collectively. Comparison of the infrastructure of fog computing and its related computing paradigms from the networking perspective [91] The fog computing approach was one of the first technologies to solve the latency issues of cloud computing.…”

Section: Fog and Edge Computing 21 History And Definitionmentioning

confidence: 99%

Fog computing state of the art: concept and classification of platforms to support distributed computing systems

Kirsanova¹,

Радченко²,

Tchernykh³

2021

Preprint

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As the Internet of Things (IoT) becomes a part of our daily life, there is a rapid growth in the connected devices. A well-established approach based on cloud computing technologies cannot provide the necessary quality of service in such an environment, particularly in terms of reducing data latency. Today, fog computing technology is seen as a novel approach for processing large amounts of critical and time-sensitive data. This article reviews cloud computing technology and analyzes the prerequisites for the evolution of this approach and the emergence of the concept of fog computing. As part of an overview of the critical features of fog computing, we analyze the frequent confusion of the concepts of fog and edge computing. We provide an overview of fog computing technologies: virtualization, containerization, orchestration, scalability, parallel computing environments, as well as a systematic analysis of the most popular platforms that support fog computing. As a result of the analysis, we offer two approaches to classification of the fog computing platforms: by the principle of openness/closure of components and a three-level classification based on the provided platform functionality (Deploy-, Platform-and Ecosystem as a Service).

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Section: Fog and Edge Computing 21 History And Definitionmentioning

confidence: 99%

Fog computing state of the art: concept and classification of platforms to support distributed computing systems

Kirsanova¹,

Радченко²,

Tchernykh³

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The computer utility could become the basis of a new and important industry." [77] His concept was the basis for the idea of Douglas Parkhill [41,43,77,89] to create a grid computing paradigm that was described later in 1966 and was a set of computers connected over a grid that take the computing decisions collectively.…”

Section: History and Definitionmentioning

confidence: 99%

Fog Computing State of the Art: Concept and Classification of Platforms to Support Distributed Computing Systems

Kirsanova

Радченко

Tchernykh

2021

JSFI

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As the Internet of Things (IoT) becomes a part of our daily life, there is a rapid growth in the connected devices. A well-established approach based on cloud computing technologies cannot provide the necessary quality of service in such an environment, particularly in terms of reducing data latency. Today, fog computing technology is seen as a novel approach for processing large amounts of critical and time-sensitive data. This article reviews cloud computing technology and analyzes the prerequisites for the evolution of this approach and the emergence of the concept of fog computing. As part of an overview of the critical features of fog computing, we analyze the frequent confusion of the concepts of fog and edge computing. We provide an overview of fog computing technologies: virtualization, containerization, orchestration, scalability, parallel computing environments, as well as systematic analysis of the most popular platforms that support fog computing. As a result of the analysis, we offer two approaches to classification of the fog computing platforms: by the principle of openness/closure of components and by the three-level classification based on the provided platform functionality (Deploy-, Platform-and Ecosystem as a Service).

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“…В [72] указываются следующие ключевые характеристики грид-вычислений. -Децентрализованная координация ресурсов.…”

Section: предпосылки появления облачных вычисленийunclassified

Overview of Fog Computing Organization Technologies

2020

CMSE

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Поскольку Интернет вещей (IoT) становится частью нашей повседневной жизни, наблюдается быстрый рост числа подключенных устройств. Устоявшийся подход, основанный на технологиях облачных вычислений, не может обеспечить необходимое качество обслуживания в таких условиях, в частности, в вопросах уменьшения времени задержки при передаче данных. Технология туманных вычислений сегодня рассматриваются как многообещающее решение для обработки большого объема критически важных и чувствительных ко времени данных. В этой статье рассмотрена технология облачных вычислений, а также анализируются предпосылки к эволюционному развитию этого подхода и появлению концепции туманных вычислений. В рамках обзора ключевых особенностей туманных вычислений произведен разбор часто встречающейся путаницы с объединением понятий туманных и краевых вычислений. Приведен обзор технологий организации туманных вычислений: виртуализация, контейнеризация и оркестрация, а также систематический анализ наиболее популярных платформ, обеспечивающих поддержку туманных вычислений. В результате анализа нами предлагается два подхода к классификации платформ туманных вычислений: по принципу открытости/закрытости компонентов, а также трехуровневая классификация на основе предоставляемого функционала платформы (Deploy-, Platform-и Ecosystem as a Service). Ключевые слова: облачные вычисления, туманные вычисления, краевые вычисления, интернет вещей.

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Grid computing for all

Cited by 4 publications

References 0 publications

Fog computing state of the art: concept and classification of platforms to support distributed computing systems

Fog computing state of the art: concept and classification of platforms to support distributed computing systems

Fog Computing State of the Art: Concept and Classification of Platforms to Support Distributed Computing Systems

Overview of Fog Computing Organization Technologies

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