The impact of distributed systems on the architecture and design of computer systems: advantages and challenges

A distributed system can encompass a variety of configurations, including mainframes, personal computers, workstations, and minicomputers. The varying degrees of software flexibility and the ability to execute tasks in parallel facilitate simultaneous data processing across multiple processors. The higher the resilience of an application, the quicker it can recover after a system failure. Organisations increasingly adopt distributed computing systems as they face increased data generation and demand for enhanced application performance. These systems enable businesses to scale effectively in response to growing data volumes. Integrating additional hardware into a distributed system is generally simpler than upgrading a centralised system reliant on powerful servers. Distributed systems comprise numerous nodes that collaborate towards a common objective. This article aims to provide a comprehensive overview of distributed systems, their architectural frameworks, and essential components. This study examines how distributed systems influence the architecture and design of computer systems. The research methods consist of reviewing existing literature and analysing case studies on implementing distributed systems. Key findings indicate that the evolution of distributed systems is ongoing, driven by emerging technologies and the increasing demand for efficient, scalable, and secure solutions. Innovations such as edge computing, blockchain technology, 5G, and the integration of AI and machine learning are among the notable trends shaping the future landscape of distributed systems. Looking ahead, designers and architects need to stay informed about these advancements to create reliable and adaptable distributed systems that can address the dynamic needs of users and organisations

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Publication Details

Journal
Data & Metadata
Published
2024-12-26
DOI
https://doi.org/10.56294/dm2024.225
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.35
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article

The impact of distributed systems on the architecture and design of computer systems: advantages and challenges

С. В. Зайцева, S. I. Pakhomov, Yevhenii Tytarchuk, Dmytro Beirak et al.
1 citations
Data & Metadata
IoT and Edge/Fog Computing
0.35
article

The impact of distributed systems on the architecture and design of computer systems: advantages and challenges

С. В. Зайцева, S. I. Pakhomov, Yevhenii Tytarchuk, Dmytro Beirak, Vasyl Sydorchuk
article en
1 citations

Abstract

A distributed system can encompass a variety of configurations, including mainframes, personal computers, workstations, and minicomputers. The varying degrees of software flexibility and the ability to execute tasks in parallel facilitate simultaneous data processing across multiple processors. The higher the resilience of an application, the quicker it can recover after a system failure. Organisations increasingly adopt distributed computing systems as they face increased data generation and demand for enhanced application performance. These systems enable businesses to scale effectively in response to growing data volumes. Integrating additional hardware into a distributed system is generally simpler than upgrading a centralised system reliant on powerful servers. Distributed systems comprise numerous nodes that collaborate towards a common objective. This article aims to provide a comprehensive overview of distributed systems, their architectural frameworks, and essential components. This study examines how distributed systems influence the architecture and design of computer systems. The research methods consist of reviewing existing literature and analysing case studies on implementing distributed systems. Key findings indicate that the evolution of distributed systems is ongoing, driven by emerging technologies and the increasing demand for efficient, scalable, and secure solutions. Innovations such as edge computing, blockchain technology, 5G, and the integration of AI and machine learning are among the notable trends shaping the future landscape of distributed systems. Looking ahead, designers and architects need to stay informed about these advancements to create reliable and adaptable distributed systems that can address the dynamic needs of users and organisations

Data & MetadataVol. 3
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (UA), National University of Life and Environmental Sciences of Ukraine (UA), Vinnytsia National Agrarian University (UA), Zhytomyr Polytechnic State University (UA)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
IoT and Edge/Fog Computing
0.35
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