C. Marquezan, F. Wessling, Andreas Metzger, K. Pohl, Chris Woods, Karl Wallbom
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引用次数: 14
Abstract
Current technology for cloud application adaptation fails to capture two fundamental aspect of cloud environments: multiple adaptation options and interferences and dependencies among these multiple mechanisms. Addressing these aspects requires a significant extension of existing cloud tools and frameworks for engineering and executing cloud application adaptations. They should explicitly take into account: all entities of the cloud environment relevant for adaptation decisions; the concrete adaptation actions that these cloud entities may perform; and the mutual dependencies between those entities and actions. In this paper we provide the first insights towards such novel technology. As main contribution, we systematically elicit the key entities related to adaptations inside a cloud environment and explicitly document those in a conceptual model. To build this model we surveyed the literature, discussed with industrial partners with experience in cloud computing, and analyzed commercial solutions. We also provide a case study based on Amazon Web Services solutions, to show how our conceptual model can be instantiated and help developers to identify possible cloud application adaptation strategies.
目前的云应用程序适应技术未能捕捉到云环境的两个基本方面:多种适应选项以及这些多种机制之间的干扰和依赖关系。解决这些问题需要对现有的云工具和框架进行大量扩展,以便设计和执行云应用程序适配。它们应明确考虑:与适应决策相关的云环境的所有实体;这些云实体可能采取的具体适应行动;以及这些实体和行为之间的相互依赖关系。在本文中,我们提供了对这种新技术的第一个见解。作为主要贡献,我们系统地引出了云环境中与适应相关的关键实体,并在概念模型中明确地记录了这些实体。为了构建这个模型,我们调查了文献,与具有云计算经验的工业合作伙伴进行了讨论,并分析了商业解决方案。我们还提供了一个基于Amazon Web Services解决方案的案例研究,以展示如何实例化我们的概念模型,并帮助开发人员确定可能的云应用程序适应策略。