Author(s):  
Patrícia Stefan Carvalho ◽  
Julio Cezar Mairesse Siluk ◽  
Jones Luís Schaefer ◽  
José Renes Pinheiro ◽  
Paulo Smith Schneider
Keyword(s):  

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1553
Author(s):  
Marian Rusek ◽  
Grzegorz Dwornicki

Introduction of virtualization containers and container orchestrators fundamentally changed the landscape of cloud application development. Containers provide an ideal way for practical implementation of microservice-based architecture, which allows for repeatable, generic patterns that make the development of reliable, distributed applications more approachable and efficient. Orchestrators allow for shifting the accidental complexity from inside of an application into the automated cloud infrastructure. Existing container orchestrators are centralized systems that schedule containers to the cloud servers only at their startup. In this paper, we propose a swarm-like distributed cloud management system that uses live migration of containers to dynamically reassign application components to the different servers. It is based on the idea of “pheromone” robots. An additional mobile agent process is placed inside each application container to control the migration process. The number of parallel container migrations needed to reach an optimal state of the cloud is obtained using models, experiments, and simulations. We show that in the most common scenarios the proposed swarm-like algorithm performs better than existing systems, and due to its architecture it is also more scalable and resilient to container death. It also adapts to the influx of containers and addition of new servers to the cloud automatically.


Author(s):  
Antonio Corradi ◽  
Luca Foschini ◽  
Javier Povedano-Molina ◽  
Juan M. Lopez-Soler

Author(s):  
Т.С. Аббасова

Проанализированы типовые устройства вычислительной техники для реализации облачных систем управления на основе оборудования центров обработки данных. Поставлена задача сформулировать виды контроля исследуемых устройств; найти расчетные соотношения для определения показателей, характеризующих виды контроля; а также определить средства технического мониторинга, контролирующие облачные системы управления. Проанализированы характеристики широко применяющегося в облачных системах управления сервиса резервного копирования и восстановления данных. Разработаны оценки для контроля параметров облачных систем управления. Typical computing devices for implementing cloud-based control systems based on data center equipment are analyzed. The task is to formulate the types of control of the studied devices; find the calculated ratio to determine indicators characterizing the types of control; and identify technical monitoring tools that control cloud-based management systems. The characteristics of the backup and data recovery service widely used in cloud management systems are analyzed. Estimates have been developed to control the parameters of cloud-based management systems.


Author(s):  
Jiawei Zhang ◽  
Ning Lu ◽  
Jianfeng Ma ◽  
Ruixiao Wang ◽  
Wenbo Shi

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jing Zou ◽  
Cheng Jian

Purpose The present investigation goals to empirically test the role of expert cloud on team performance and employee creativity. Here, the expert cloud comprises cloud application, cloud management, cloud infrastructure and cloud resources. The present study aims to identify important and key criteria and examine the relationships among them. In other words, the purpose of this study to find out the impact and relationship between cloud application, cloud management, cloud infrastructure and cloud resources and team performance and employee creativity. Design/methodology/approach Today, human societies’ rapid growth and the environmental changes that surround us every day are clearly visible. They highly affect our activities. In today’s highly complex organizations, people alone cannot handle all the issues that have arisen. As organizational managers are faced with diverse cultures in the governance of organizations, the need to use work teams with different abilities and specializations to achieve the goals of organizations leads managers to use teamwork and focus on employee creativity. On the other hand, the expert cloud makes it possible for human societies like universities, firms, industries, institutes, businesses and colleges to pool and share their human resources’ skills, knowledge and experiences to meet the competitive era’s demands. Therefore, the current investigation examines the impact of expert cloud on team performance and employee creativity. The research information is collected using an online questionnaire. The data collected is analyzed using AMOS and SMART PLS software. Findings All of the formulated hypotheses are supported. The results have shown that cloud application, cloud management, cloud infrastructure and cloud resources positively and significantly affect team performance and employee creativity. Practical implications Managers must be conscious of the vital role that the professional cloud plays in team performance and the innovation of workers. This paper would also make executives more conscious of the powerful tools in the field of cloud computing. Firms can use the outcomes of this paper investigation to improve team performance and employee creativity. Originality/value It is considered one of the initial efforts to demonstrate the impacts of expert cloud on team performance and employee creativity. This study’s value relies on that practitioners and academics may have supporting evidence on the role played by novel technology such as an expert cloud.


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