Cloud SLR data

This dataset contains the SLR data of a thesis named: "A decision support framework for multi-cloud
service composition". In this research, we will explore the multi-cloud service selection, selecting the optimal criteria and providing data about the CSPs within this research. Our main contribution will be the combination matrix shown in figure \ref{fig:Conceptual-model}. The combination of CSPs based on requirements has not yet been researched.

This research will consist of two artifacts. It will show an organisation how to create its knowledge base. This knowledge base will consist of cloud service providers and the requirements they meet. CSP information will be linked to qualitative criteria to get comparable criteria. With this knowledge base, organisations gain insight into the CSPs and can compare them with requirements to select the best-suiting providers. The fundamentals for the framework will be the second artifact.

The aim is to assist organisations in their CSS process, focusing on cloud composition.

本数据集收录了一篇题为《面向多云服务组合的决策支持框架》的论文中的SLR（系统文献综述）数据。在该研究中，我们将探讨多云服务的选择，确定最优评估标准，并提供关于研究范围内云服务提供商（CSP）的数据。我们的主要贡献将是图
ef{fig:Conceptual-model}中所示的组合矩阵。基于需求对CSP的组合尚未被研究。研究将包含两个成果。其一将展示一个组织如何构建其知识库，该知识库将由满足特定要求的云服务提供商及其相关信息构成。将CSP信息与定性标准相联系，以获得可比较的评估标准。借助该知识库，组织能够深入了解CSP，并将其与需求进行对比，以选择最适宜的服务提供商。框架的基石将是第二个成果。研究旨在协助组织在云服务组合过程中，聚焦于云构建策略。