This article examines the peculiarities of warehouse management systems and presents the principles and implementation of an in-house software system for warehouse management using computer vision technology.
In this review article for a smart vending refrigerator, the contours of the future device are thought out and outlined and all its advantages are described. This device will be controlled using Computer Vision and some other features. The main control unit will be Raspberry PI, since it is the best for this device. Also, a web application was developed in which the user registers, and the applica- tion itself transmits the user's information through an API that will be developed to communicate with the web server, and the web server will store this information.
In this study, we explore the intricacies of cloud computing technologies, with an emphasis on the challenges and concerns pertinent to resource allocation. Three opti- mization techniques—Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Genetic Algorithm (GA) — have been meticulously analyzed concerning their applications, objectives, and operational methodologies. The study underscores these algorithms' pivotal role in enhancing cloud resource optimization, while also elucidat- ing their respective merits and limitations.
Microservices is an architectural style in software development that involves constructing a big solution using small, self-contained services. A set of services are connected via well-defined APIs and work together like a coherent system. The application of microservices architecture spans a wide range of domains, e.g., healthcare, finance, government, military, gaming, and entertainment. This article analyzes existing project architecture approaches for Node.js, and improves scalable project architecture for Node.js using shared dependencies.
Workflow is a sequence of repeated and controlled steps aimed at completing a specific task or work. The urgency of the task of optimizing such works contributed to the development of methods and means of operations research to optimize such processes for the needs of various subject areas. Information technologies to support such workflow are workflow engines that enable faster automation, ensure compliance with norms and standards, formalize business processes, improve communication, etc.
Cloud computing is emerging as a powerful computing paradigm for the efficient use of resources. However, decisions to move to cloud computing always remain risky from the customer's point of view, considering the benefits they get from it.
Serverless computing is a new and still evolving type of cloud computing, which brings a new approach to the development of information systems. The main idea of serverless is to give an approach of doing computing without dealing with a server to a user. Such approach allows to reduce the cost of the system building and system support. It allows small companies to concentrate on their own system designing instead of thinking about infrastructure building and supporting. Also, a big problem of providing the system security on high level is on cloud’s provider engineering support service.
An intellectual system of data deduplication and distribution in cloud storage facilities was developed. The resulting software has a user-friendly interface that allows you to backup and restore data. An analytical review of the methodological principles of the research is carried out, existing approaches to data backup with the use of data deduplication and distribution in cloud storage were analyzed, their advantages and disadvantages are highlighted. The advantages and disadvantages of modern data deduplication technologies are considered in detail.
The paper proposes a structure for implementing of the system for calculating the parameters of microelectromechanical systems using cloud technologies. Considered the advantages of this system over existing models.
This paper is devoted to the numerical investigation of the availability at cloud service systems. In this paper criteria and constraints calculations were performed and obtained results were analyzed for synthesis purposes of distributed service platforms based on the cloud service-oriented architecture such as availability and system performance index variations by defined set of the main parameters.