Redirigiendo al acceso original de articulo en 18 segundos...
ARTÍCULO
TITULO

Features of the Development of High Load Data Systems

Saeed N. Amirov    

Resumen

The article develops the design features of data-intensive systems. Sources of recent years are analyzed, international experience in creating information systems is considered, the concept of high load is formulated and common practices and technologies are listed. Based on a number of sources on this topic, it has been revealed that specific solutions for developing the application infrastructure are selected individually, depending on the features of the project and the tasks to be solved. At the same time, the basic requirements are universal for the sphere of information systems: the reliability, the scalability or ease of maintenance and the architectural patterns used in the design. The article summarizes new information, including international experience in this area, and draws conclusions about the most common practices in the design of high-load systems.

 Artículos similares

       
 
Yanjun Li, Takaaki Yoshimura, Yuto Horima and Hiroyuki Sugimori    
The detection of coronary artery stenosis is one of the most important indicators for the diagnosis of coronary artery disease. However, stenosis in branch vessels is often difficult to detect using computer-aided systems and even radiologists because of... ver más
Revista: Algorithms

 
Abdelghani Azri, Adil Haddi and Hakim Allali    
Collaborative filtering (CF), a fundamental technique in personalized Recommender Systems, operates by leveraging user?item preference interactions. Matrix factorization remains one of the most prevalent CF-based methods. However, recent advancements in ... ver más
Revista: Information

 
Tao Tang, Yuting Cui, Rui Feng and Deliang Xiang    
With the development of deep learning in the field of computer vision, convolutional neural network models and attention mechanisms have been widely applied in SAR image target recognition. The improvement of convolutional neural network attention in exi... ver más
Revista: Information

 
Fátima Trindade Neves, Manuela Aparicio and Miguel de Castro Neto    
In the rapidly evolving landscape of urban development, where smart cities increasingly rely on artificial intelligence (AI) solutions to address complex challenges, using AI to accurately predict real estate prices becomes a multifaceted and crucial tas... ver más
Revista: Applied Sciences

 
Yongzhen Zhang, Yanbo Hui, Ying Zhou, Juanjuan Liu, Ju Gao, Xiaoliang Wang, Baiwei Wang, Mengqi Xie and Haonan Hou    
Moldy corn produces aflatoxin and gibberellin, which can have adverse effects on human health if consumed. Mold is a significant factor that affects the safe storage of corn. If not detected and controlled in a timely manner, it will result in substantia... ver más
Revista: Applied Sciences