Skip to main content
Login | Suomeksi | På svenska | In English

Finite State Machines in Network Software

Show full item record

Title: Finite State Machines in Network Software
Author(s): Mann, Eshita
Contributor: University of Helsinki, Faculty of Science
Degree program: Master's Programme in Computer Science
Specialisation: Networks
Language: English
Acceptance year: 2023
Software engineers frequently deal with state machines and protocols while building telecommunications systems. Finite state machines have grown to become an essential tool for designing and implementing networks due to their ability to model complicated behaviour in a structured and efficient manner. They offer a framework for defining systems as a collection of states and transitions, enabling programmers to create software that can respond to a variety of situations and events. This thesis explores the use of finite state machines in network software, exploring their various applications, advantages, and limitations with a focus on cellular technologies and mobile communications. The study covers a wide range of state machine methods, including control structures, Unified Modelling Language, Specification and Description Language, state patterns, state machine frameworks, and code generators. The objectives of the research include a comprehensive review of existing state machine techniques, analysis of their relative merits as well as shortcomings, modelling and implementation of selected methods to evaluate their effectiveness, and identification of required features to meet network requirements. The thesis compares the Boost Meta State Machine against the TeleNokia Specification and Description Language for a case study followed by a feature-based comparison of quality attributes to evaluate their performance in areas such as system design, development, and evolution and maintenance. The results show that the Boost framework is better suited as a state machine implementation technique for most network software application scenarios. Finally, the thesis identifies potential directions for further research and technical approaches to address the issues discussed, highlighting emerging trends and technologies that are likely to shape the future of this important area of network architecture.
Keyword(s): state machines networks

Files in this item

Files Size Format View
Mann_Eshita_thesis_2023.pdf 748.8Kb PDF

This item appears in the following Collection(s)

Show full item record