Use of virtualization and container technology for information infrastructure generation

Trofimov, Valery V.; Kiyaev, V. I.; Gazul, Stanislav

doi:10.1109/scm.2017.7970725

Cited by 5 publications

(2 citation statements)

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“…Available studies present different criteria typologies of universities. In some works, the main emphasis is on the characteristics of the scientific and educational environment, the availability of knowledge and the development level of research [4]; in other typologies, universities are evaluated by the degree of influence of the university on the development of science, technology, the state and society (according to the "triple helix" model) [5]; thirdly, the main criteria for classifying a university as one or another type is the criterion for the significance of the added value they form [6]. Within the framework of this approach, the concept of the transformation of the university model from "University 1.0" to "University 4.0" is being developed, which has received wide recognition and international popularity in recent years.…”

Section: Methodsmentioning

confidence: 99%

University 4.0:new education technologies in the digital economy

Gurieva¹,

Btemirova²,

Ковалева³

2019

Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)

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The new, often called the fourth, industrial revolution, which is often named "Industry 4.0", is a quite expected event, which is systematically and sufficiently detailed described in the forecast studies of scientists from many countries starting from the beginning of the 20th century. Defining the concept of the economy in the framework of Industry 4.0, we can note its main features: digitalization of products and services; digitalization and integration of vertical and horizontal value chains; digital business models and customer access through digital platforms. In fact, we are talking about the mass introduction of cyberphysical systems (CPS) based on the Internet of Things (IoT), self-regulating printing electronics factories in three-dimensional printing (3D), big data (BD) and the widespread adoption of artificial intelligence (AI) technologies. Digital technologies are not being implemented in a fragmented way, but in a systematic way: not only in the production of material goods, but also in almost all spheres of society and the individual, including his work, education, life, and leisure. All these closely related digital technologies are the prerequisites for the coming digital revolution, and more precisely, digital technologies determine its essential characteristics, so we can conclude that the world is entering the digital age. In this regard, the training of specialists who are ready to work in the conditions of the wide and continuous development of digital technologies has been put into practice in universities not only developed but also in developing countries, and the model of a digital university (University 4.0) is being implemented with the support of leading digital companies. However, as the analysis conducted by the authors showed, the current system of university education in many countries, including Russia, despite the introduction of information and communication technologies, is still behind the needs of the emerging digital economy. And even in the leading universities of the world, while training specialists who are ready to effectively work with digital technologies for humanity, especially AI technologies, little attention has been paid to the mental and psychological factors of a new generation of future specialists who are ready to use these technologies effectively and safely for humanity. The article presents the results of a study of new sociotechnological factors that will affect the educational technologies of University 4.0.

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Section: Methodsmentioning

confidence: 99%

University 4.0:new education technologies in the digital economy

Gurieva¹,

Btemirova²,

Ковалева³

2019

Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)

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“…This makes VMs heavy to manage. In this context, container-based technologies are considered to be more lightweight [ 19 ]. Compared to VMs, the use of containers does not require an operating system to boot up that gains an increasing popularity in the Edge, Fog and Cloud computing domains [ 20 ].…”

Section: Background and Related Workmentioning

confidence: 99%

A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers

Taherizadeh

Stankovski

Grobelnik

2018

Sensors

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The adoption of advanced Internet of Things (IoT) technologies has impressively improved in recent years by placing such services at the extreme Edge of the network. There are, however, specific Quality of Service (QoS) trade-offs that must be considered, particularly in situations when workloads vary over time or when IoT devices are dynamically changing their geographic position. This article proposes an innovative capillary computing architecture, which benefits from mainstream Fog and Cloud computing approaches and relies on a set of new services, including an Edge/Fog/Cloud Monitoring System and a Capillary Container Orchestrator. All necessary Microservices are implemented as Docker containers, and their orchestration is performed from the Edge computing nodes up to Fog and Cloud servers in the geographic vicinity of moving IoT devices. A car equipped with a Motorhome Artificial Intelligence Communication Hardware (MACH) system as an Edge node connected to several Fog and Cloud computing servers was used for testing. Compared to using a fixed centralized Cloud provider, the service response time provided by our proposed capillary computing architecture was almost four times faster according to the 99th percentile value along with a significantly smaller standard deviation, which represents a high QoS.

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