With the continued appeal and adoption of cloud computing, an assessment of cloud run costs and migration affordability prior to adoption would assist enterprises that have several legacy applications targeted for cloud migration. However, as cloud migrations have become more prevalent, many have been characterised by unsuccessful migration or application modernisation attempts. The primary reason behind the failed attempts is insufficient planning upfront, to identify which legacy applications are suitable to realise the benefits of public or private cloud, leading to time and cost overruns. There is a need for strategic decision making for application portfolios to mitigate the risks of cost overruns and migration delays. Thus, a Rough Order of Magnitude (ROM) of cloud run costs for an application portfolio is required in the planning phase as an input into IT governance. To obtain the ROM cloud run costs, it is necessary to baseline application data, preferably through automated discovery, and perform quantitative analysis of the applications. Therefore, we propose an approach to (a) baseline application data using Application Portfolio Profiling (APP), and (b) perform quantitative analysis of applications using an Application Portfolio Assessment (APA), to inform the legacy application migration decision. APP and APA are proposed as part of a Cloud Computing Considerations for Companies (CCCC) framework that enables an enterprise to make an informed decision regarding which legacy applications are to be migrated as part of enterprise Cloud Computing adoption. This decision is important because of the change in operating model, infrastructure requirements, hidden costs and commercial models inherent with cloud computing adoption. We validate the proposed framework through applying it to a real-world use case scenario that provides the necessary coverage to test the proposed framework.

中文翻译：

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企业采用应用程序组合分析和应用程序组合评估的云计算

随着云计算的不断吸引和采用，在采用云计算之前评估云运行成本和迁移承受能力将有助于拥有多个针对云迁移的遗留应用程序的企业。但是，随着云迁移变得越来越普遍，许多迁移都以迁移失败或应用程序现代化尝试为特征。失败尝试背后的主要原因是没有足够的前期计划来确定哪些遗留应用程序适合实现公共或私有云的优势，从而导致时间和成本超支。需要对应用程序组合进行战略决策，以减轻成本超支和迁移延迟的风险。从而，在规划阶段，需要将应用程序产品组合的云运行成本的粗略数量级（ROM）作为IT治理的输入。为了获得ROM云运行成本，有必要对应用程序数据进行基准测试（最好通过自动发现）并对应用程序进行定量分析。因此，我们提出了一种方法（a）使用“应用程序组合配置文件”（APP）进行基线应用程序数据，以及（b）使用“应用程序组合评估”（APA）对应用程序进行定量分析，以告知遗留应用程序迁移决策。建议将APP和APA作为公司云计算注意事项（CCCC）框架的一部分，该框架使企业能够就要迁移哪些旧版应用程序作为企业云计算采用的一部分做出明智的决定。由于运营模型，基础架构要求，隐藏成本和云计算采用所固有的商业模型的变化，这一决定很重要。我们通过将其应用于实际的用例场景来验证所提出的框架，该场景提供了必要的覆盖范围以测试所提出的框架。