Optimizing Performance of Distributed Web Systems

Abstract

Distributed systems have been a hot topic of study in recent years. In general, a distributed system is defined as a computer system implemented within a computer network in which both software and hardware components located on computers within the network communicate and coordinate their actions via messages. Optimizing the performance of distributed web systems has become a top priority in the current context of technological evolution and the continuous growth in the number of users and online traffic. These systems are fundamental to delivering services and content to users worldwide, but the ever-increasing demands for availability and scalability have brought new challenges. Finite state machines are a powerful and flexible technique for modelling distributed systems using the Python language. Finite state machines are popular for modelling distributed systems due to the fact that they represent an easy and flexible way to represent these systems, and together with the Python language, they manage to model complex systems. The two are used to illustrate complex system behaviour, communication between system nodes, node synchronization, error handling, and performance optimization. In this study, various strategies and techniques for optimizing their performance have been analysed.

Keywords

• distributed systems
• performance optimization
• web architecture
• scalability
• load balancing
• finite state machine
• python