Developing Guidelines for Structured Process Data Transfer

Abstract: Today, society is ever-increasing in its use of technology and computers. The increase in technology creates a need for different programming languages with unique properties. The creation of a system may require multiple languages for multiple processes that need to transfer data between one another. There are several solutions for sharing data between processes with their respective strengths and weaknesses. The differences create a problem of needing to understand the data transfer solutions to use them effectively. This thesis addresses the problem of there not existing any guidelines for data transfer solutions. The purpose is to create guidelines for choosing a data transfer solution. The goal is to help software developers find a data transfer solution that fits their needs. The thesis is meant to inform and contribute to the understanding of possible solutions for sharing data between processes. A literature study and practical study were needed to get that understanding. The literature study was conducted to understand the solutions and to be able to compare them. After that, a practical study was performed to work with the solutions and gain experience. The study was meant to gain measurements for later comparisons of data transfer solutions. The measurements followed the comparative criteria of speed , resource usage , and language support . The result was the creation of guidelines that displayed different scenarios based on the comparative criteria. For each situation, there was a recommendation of solutions that would help in the given situation. These results accomplished the goal and purpose by providing guidelines that could help software developers choose a data transfer solution.