Detta examensarbete är baserad på ett projekt hos SPV. Den presenterar resultaten av en studie som syftar till att utvärdera och jämföra prestanda hos olika webb-API-tekniker och hanterare. Syftet med denna forskning var att välja lämpliga webb-API-tekniker som uppfyller funktionella krav och distribuera dem på noggrant utvalda API- hanterare för att dra slutsatser om deras prestanda. Studien fokuserade på att jämföra REST och GraphQL webb-API-tekniker sedan distribuera dem på två API-hanterare WSO2 och 3Scale. Både REST och GraphQL API har sina egna fördelar och nackdelar, där användningsområdet och API:ets funktionskrav bestämmer vilken som är bäst. Dessutom REST API är kända av sin enkla implementering och resurshantering medan GraphQL API är mer lämpliga med hantering av komplexa relationer. Detta projekt tolkar att REST API överträffade GraphQL API över båda APIhanterare. Dessutom visade resultaten att API-hanterare WSO2 uppvisade någon snabbare svarstid för både REST och GraphQL API jämfört med 3Scale. Projektets resultat bidrar till den vetenskapliga förståelsen av webb-API-tekniker och hanterare samt att den ger värdefulla insikter för framtida forskning och utveckling. Den dokumenterade källkoden och data, tillgängliga på GitHub, säkerställer transparens. Etiska överväganden demonstrerades också, med betoning på ansvarsfull användning av dataskydd av användarnas integritet. / This thesis is based on a project at SPV. It presents the results of a study aimed at evaluating and comparing the performance of different Web API technologies and managers. The objective of this research was to select appropriate Web API technologies that meet functional requirements and deploy them on carefully selected API handlers to draw conclusions about their performance. The study focused on comparing REST and GraphQL web API technologies, then deploying them on two API managers WSO2 and 3Scale. Both the REST and GraphQL APIs have their own advantages and disadvantages, with the use case and the API's functional requirements determining which one is best. Moreover, REST APIs are known for their simple implementation and resource management while GraphQL APIs are more suitable with handling complex relationships. This project interprets that the REST API outperformed the GraphQL API across both API managers. In addition, the results showed that API manager WSO2 exhibited slightly faster response time for both REST and GraphQL APIs compared to 3Scale. The project's results contribute to the scientific understanding of web API technologies and handlers and provide valuable insights for future research and development. The documented source code and data, available on GitHub, ensures transparency. Ethical considerations were also demonstrated, emphasizing the responsible use of data protection of user privacy.

The Internet of Things (IoT) has seen a huge growth spurt in the last few years which has resulted in the need for more standardised IoT technology. Because of this, numerous IoT platforms have sprung up that offer a variety of features and use different technologies which may not necessarily be compliant with each other or with other technologies. Companies that wish to enter theIoT market are in constant need to find the most suitable IoT platform for their business and have a certain set of requirements that need to be fulfilled by the IoT platforms in order for the application to be fully functional. The problem that this thesis project is trying to address is a standardised procedure for selecting the IoT platforms. The project aims to suggest a list of requirements derived from the available IoT architecture models, that must be followed by IoT applications in general, and a subset of these requirements may be specified by the companies as essentials for their application. This thesis project also aims at development of a Web platform to automate this process, by listing the requirements on this website and allowing companies to input their choices,and accordingly show them the list of IoT platforms that comply with their input requirements. A simple Weighted Sum Model is used to rank the search result in order to prioritise the IoT platforms in order of the features that they provide. This thesis project also infers the best IoT architectural model available based on a comparative study of three major IoT architectures with respect to the requirements proposed. Hence the project concludes that this Web platform will ease the process of searching for the right IoT platform andthe companies can therefore make an informed decision about the kind of IoT platform that they should use, thereby reducing their time spent on market research and hence their time-to-market.