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.本数据集包含一篇题为《面向多云服务组合的决策支持框架》的学位论文的系统文献综述（Systematic Literature Review，SLR）数据。本研究将探索多云服务选择问题，筛选最优评价准则，并提供本研究涉及的云服务提供商（Cloud Service Provider，CSP）相关数据。本研究的核心贡献为图 ef{fig:Conceptual-model}中展示的组合矩阵。目前尚无基于业务需求开展云服务提供商组合的相关研究。 本研究包含两项研究产出物。其一将指导企业构建专属知识库，该知识库将收录云服务提供商及其所能满足的业务需求。通过将云服务提供商的信息与定性评价准则进行关联，可生成具备可比性的评价指标。依托该知识库，企业能够深入洞察各云服务提供商的情况，并可结合自身需求进行比对，从而选出最适配的服务商。本框架的理论基础则为第二项研究产出物。 本研究旨在助力企业开展云服务选择流程，重点聚焦于多云服务组合场景。