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Advanced function composition in serverless platforms

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Resumo:Abstract Serverless computing, particularly Function-as-a-Service (FaaS) platforms, allows developers to focus on the software engineering aspects of their services without managing the underlying infrastructure. These platforms rely on stateless functions that are triggered by events, making them a common choice for workflows and function composition. However, despite their advantages, serverless workflows often require developers to meet provider-specific requirements, leading to portability challenges and vendor lock-in. Previous work has attempted to address these limitations. The QuickFaaS project demonstrated the importance of standardizing function definitions across platforms to create a uniform programming model. Building on this, the OmniFlow project introduced a Domain-Specific Language (DSL) that enables developers to define serverless workflows in a provider-agnostic manner, allowing them to be reused across different cloud environments without modification. This work extends OmniFlow by introducing additional capabilities that enhance serverless workflow execution and function composition. The proposed enhancements include control flow-based workflow execution for repetitive tasks, enabling the definition of iterations within their workflows without relying on provider-specific construct. In addition, it also introduces support for parallel execution, allowing workflows to scale efficiently. By leveraging parallel processing, serverless applications can execute independent tasks concurrently, improving performance and reducing execution time. Additionally, this research explores cross-cloud function composition, ensuring that workflows can seamlessly integrate functions across multiple cloud providers, to mitigate vendor lock-in and allow developers to optimize performance by leveraging the strengths of different platforms while maintaining a unified workflow definition. The proposed enhancements provide a more flexible, scalable, and portable approach to serverless workflow orchestration, enabling developers to build complex workflows that are not constrained by the limitations of individual cloud providers.
Autores principais:Silva, Tiago Luís Lima da
Assunto:FaaS Function composition Cloud-agnostic architecture Composição de funções Arquitetura agnóstica na nuvem
Ano:2025
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Lisboa
Idioma:inglês
Origem:Repositório Científico do Instituto Politécnico de Lisboa

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