推荐数据驻留兼容应用程序体系结构的框架

Kapil Singi, Kanchanjot Kaur Phokela, Sukhavasi Narendranath, Vikrant S. Kaulgud
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引用次数: 1

摘要

数据是组织的关键资产。它帮助他们产生业务洞察力,改进决策制定并创造竞争优势。通常,组织想要独家控制数据为自己的优势。为了保护个人和国家的权利,政府制定了数据驻留法规。这些法律规定了允许存储、传输和处理数据的地理限制。不遵守数据法规通常会给组织带来严重的后果,从巨额罚款到品牌价值的损失。数据驻留约束的不同变体(如国家存储中的首次复制)给设计符合法规的应用程序部署体系结构带来了挑战。在本文中,我们提出了一个框架和多准则决策技术来确定最优的单云或多云架构。框架是基于若干标准包括允许数据流按照规定,云提供商的数据敏感性和类型、可用性等。该框架可以帮助云架构师快速得出一组部署架构选项,架构师可以进一步优化这些选项。
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Framework for Recommending Data Residency Compliant Application Architecture
Data is a critical asset for organizations. It helps them generate business insights, improves decision making and creates a competitive advantage. Typically, organizations want exclusive control over data for their own advantage. To protect individual and national rights, governments frame data residency regulations. These laws govern the geographical constraints where storage, transmission and processing of data are allowed. Non-compliance to data regulations often lead to serious reper-cussions for organizations, ranging from hefty penalties to loss of brand value. The different variants of data residency constraints such as first copy within country storage poses challenges in designing a regulation-compliant application deployment architecture. In this paper, we propose a framework and multi-criteria decision technique for determining an optimal single cloud or multi cloud architecture. The framework is based on several criteria including permitted data flows as per regulations, data sensitivity and type, availability of cloud providers etc. The framework helps Cloud architects rapidly arrive at a set of deployment architecture options, which can further optimize by the architects.
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