resource virtualization
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2021 ◽  
Vol 15 (24) ◽  
pp. 191-200
Author(s):  
Gareebah Al- Rasheedi ◽  
Nabeel Khan

Education is a crucial factor in ensuring sustainable progress, In particular, for countries with growing economies. Due to resource virtualization, Cloud computing has both the Internet and complex scalability. Both public and private learning institutions should take advantage of the potential benefit of cloud infrastructure to ensure high-quality service regardless of the minimum resources available. Because of its numerous advantages, cloud computing is taking center stage in academia. This research will seek to establish the benefits associated with the use of cloud computing in education. Cloud technology solutions ensure research and development as well as teaching, and its more sustainable and efficient, thereby having a positive impact on the quality of teaching and learning in educational institutions. The goal of this research is to identify the benefits of cloud computing usage in education. Cloud technology solutions make research and development as well as teaching more competitive and effective, thereby having a positive impact on the quality of education.


Author(s):  
Yonghui Huang ◽  
Yan Ma ◽  
Zhaowen Lin ◽  
Shuyue Wang ◽  
Bowen Xie

By endowing network with the ability of reliable scheduling of security resources, it can realize the dynamic deployment of security resources as well as the efficient configuration of protection resources, and further can quickly respond to network security threats and emergencies timely. Furthermore, due to the network is increasingly complex, it is of great importance to make it reliable by invoking appropriate security resources. However, the security mechanism and response speed of traditional network based on security domain division, network boundary protection are hard to meet the requirements of the virtual network. In this paper, we propose the SDN-empowered reliable and dynamic scheduling scheme for security resources. In the scheme, we use network security resource virtualization technology to virtualize and modularize network security software and hardware resources; at the SDN control layer, we propose meta-security function combination technology to provide on-demand customization for various security applications’ security service; by using role-based conflict detection and conflict resolution technology, we can detect and handle security rule conflicts. The experiments show that the scheme is reliable and efficient with low latency and great throughput.


Author(s):  
Matthias Sander-Frigau ◽  
Tianyi Zhang ◽  
Hongwei Zhang ◽  
Ahmed E. Kamal ◽  
Arun K. Somani

Author(s):  
Xiaobin Li ◽  
Chao Yin

Abstract Cloud manufacturing is a state-of-art networked manufacturing model with the idea and technologies of cloud computing to transform traditional production-oriented manufacturing into service-oriented manufacturing. This emerging model can make manufacturing resources, in a manner similar to traditional utilities such as water, gas and electricity, available (offered) over the internet as convenient, scalable, on-demand services to enterprises. The aim is to improve the sharing efficiency of manufacturing resources and reduce manufacturing costs in industries. In this paper, the current research of cloud manufacturing is summarized, including relevant theories, technologies and applications. A cloud solution for workshop management is proposed from a service perspective, along with its architecture and business process. The methodologies, including manufacturing resource virtualization and workshop sensor network configuration are developed to support heterogeneous data integration and effective collaboration among services in cloud. A case study is demonstrated and discussed to validate the proposed cloud service system.


2021 ◽  
Author(s):  
Guanqaun Wu ◽  
Rongli Chen ◽  
Desheng Zen ◽  
Xiaozhong Chen

Abstract With the development of Internet technology, the combination of industrial intelligence and data mining technology has played a huge role in the development of various industries, and has also become an inevitable demand for the development of information society. The cloud service can solve the problem of data processing conveniently and quickly, so it becomes particularly important for the development of cloud service. Traditional cloud service applications cannot meet users' urgent needs for services in terms of rapid release and efficient allocation of resources. Container technology has emerged to meet this challenge. Containers as a better resource virtualization technology will naturally be widely recognized and favored by the industry. Container cloud platform has the advantages of small redundant environment, high resource utilization, fast deployment, flexible and scalable. The proposed method use task scheduling of container cloud platform is to allocate available resources to users according to their different service demands. The result of this paper can ensure the effective execution of user container tasks.


Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1139
Author(s):  
Mykola Beshley ◽  
Natalia Kryvinska ◽  
Halyna Beshley ◽  
Oleg Yaremko ◽  
Julia Pyrih

A virtual router model with a static and dynamic resource reconfiguration for future internet networking was developed. This technique allows us to create efficient virtual devices with optimal parameters (queue length, queue overflow management discipline, number of serving devices, mode of serving devices) to ensure the required level of quality of service (QoS). An analytical model of a network device with virtual routers is proposed. By means of the mentioned mathematical representation, it is possible to determine the main parameters of the virtual queue system, which are based on the first in, first out (FIFO) algorithm, in order to analyze the efficiency of network resources utilization, as well as to determine the parameters of QoS flows, for a given intensity of packets arrival at the input interface of the network element. In order to research the guaranteed level of QoS in future telecommunications networks, a simulation model of a packet router with resource virtualization was developed. This model will allow designers to choose the optimal parameters of network equipment for the organization of virtual routers, which, in contrast to the existing principle of service, will provide the necessary quality of service provision to end users in the future network. It is shown that the use of standard static network device virtualization technology is not able to fully provide a guaranteed level of QoS to all present flows in the network by the criterion of minimum delay. An approach for dynamic reconfiguration of network device resources for virtual routers has been proposed, which allows more flexible resource management at certain points in time depending on the input load. Based on the results of the study, it is shown that the dynamic virtualization of the network device provides a guaranteed level of QoS for all transmitted flows. Thus, the obtained results confirm the feasibility of using dynamic reconfiguration of network device resources to improve the quality of service for end users.


Author(s):  
С.Л. Добрынин ◽  
В.Л. Бурковский

Произведена классификация технологий аддитивного производства по базовому состоянию материала: жидкая основа, твердая основа, порошковая основа. Даны определения распространенных технологий в зависимости от базового состояния материала. Описаны технологические процессы изготовления прототипов и конечных изделий методами аддитивного производства, включающие в себя проектирование 3D-модели, преобразование форматов, нарезку 3D-модели на слои, формирование G-code и непосредственно печать. Рассмотрены технологии четвертой промышленной революции как инструмент повышения эффективности управления технологическими процессами аддитивного производства. Представлена модель модернизации технологического процесса аддитивного производства на основе технологий промышленного интернета вещей, аппаратной реализацией которого является одноплатный компьютер Raspberry Pi, программной реализацией является MTConnect - промышленный стандарт обмена данными станков с числовым программным управлением. Использование Raspberry Pi, подключенных к нему датчиков и программного обеспечения OctoPrint реализует контроль и удаленное управлениe технологическим оборудованием аддитивного производства (3D-принтером) в режиме реального времени. Представлено техническое устройство основных подсистем облачной платформы аддитивного производства. Архитектура предлагаемой системы состоит из четырех уровней: уровень адаптера доступа, уровень виртуализации ресурсов, уровень управления службами, уровень пользовательского инструментария We classified additive manufacturing technologies according to the basic state of the material: liquid base, solid base, powder base. We give definitions of common technologies depending on the basic state of the material. We describe the technological processes of manufacturing prototypes and final products by methods of additive manufacturing, including designing a 3D model, converting formats, slicing a 3D model into layers, forming a G-code and directly printing. We considered the technologies of the fourth industrial revolution as a tool for increasing the efficiency of control of technological processes of additive manufacturing. We present a model of modernization of the technological process of additive manufacturing based on technologies of the industrial internet of things, the hardware implementation of which is a single-board computer Raspberry Pi, the software implementation is MTConnect - an industrial standart for the exchange of data of machine tools with numerical control. Using Raspberry Pi, sensors connected to it and software OctoPrint implements control and remote management of additive manufacturing equipment (3D printer) in real time. We present the technical structure of the main subsystems of the cloud platform for additive manufacturing. The architecture of the proposed system consists of four levels: the access adapter level, the resource virtualization level, the service control level, and the user instrumentation level


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