розподілені системи

The dynamic and unpredictable nature of network environments poses a significant challenge for distributed systems, particularly those relying on consensus algorithms for state management and fault tolerance. To address this challenge, this article introduces a novel simulation model designed to study the impact of unstable network connections on clusters running consensus algorithms. The model is engineered to mimic varying degrees of network instability, including latency fluctuations and connection disruptions, which are characteristic of real-world distributed systems.

The advent of smart contract technology in blockchain networks has ushered in a new era of possibilities for implementing complex decentralized finance protocols. Over time, these protocols have gained significant traction, reaching a Total Value Locked (TVL) of over 150 billion US dollars. While blockchain networks offer inherent benefits such as immutability, transparency, decentralization, and security, they still grapple with a critical challenge – the inability to ensure a predictable order of transactions within produced blocks.

An existing goods accounting information system was assessed for possible infrastructure optimization. A various parts of the system were analyzed to improve infrastructure costs without having a significant degradation of non-functional requirements. Modeling of the optimized system was performed, and evaluation of the infrastructure costs was made. Several optimization directions were evaluated, analyzed and either recommended or rejected.