Abstract
Modern cloud computing makes available a plethora of scalable cloud computing offerings. The cloud is increasingly becoming the backbone of the highly complex modern knowledge-economy that includes Social, Mobile, IoT, Big-Data and AI. Knowledge-based products and services follow fat-tail distributions such as the power-law that poses major opportunities and challenges for the designer. The Axiomatic Designer is uniquely positioned in designing for the de-novo situations that the fat-tailed distributions expose. Also, the cloud frees-up the architectural decision-making away from the legacy compatibility-burden, and towards various cloud-native (i.e., de-novo/solution-neutral) as well as hybrid (on-prem/cloud & cloud/cloud) architectures. Further more, the competitive landscape around the cloud is not static; it is adaptive and evolving rapidly. Here again, Axiomatic Design (AD) is uniquely positioned in rising upto the various de-novo challenges This, however, requires contributions from frameworks such as Knowledge-as-Heterarchically-Hierarchical (KA|h|H), Stigmergy, Complex Adaptive Systems (CAS), Cynefin, Boyd’s OODA-Loop Theory of asymmetric fast-transients, Axiomatic-Maturity-Diagram (AMD), as well as Weick’s Loose-Coupling approach to help unify and strengthen the Axiomatic approach. This paper unifies the above approaches in order to tackle the architectural challenges of cloud computing.
Highlights
Human knowledge is a network of concepts which has been aggregating across millenniums. It has a certain shape, structure and overall dynamic. It has a certain directionality in its growth patterns, as dictated by the power-law which results from the phenomenon of preferential-attachment
Stigmergy [10] denotes call to work based on local signs or markings left by collaborating agents (α) at some time in the past and during the course of their work
Such combinations occur because the looping mechanism in OODA is a guided search that is looping across organizational levels and responsibilities in trying to solve the problem posed by the top-level FR-DP
Summary
From a mathematical perspective, what killed Borders was an inadequate appreciation of the power-law [2] that is operative in the modern knowledge-based, network economies. This paper helps trace the potential of Axiomatic Design in the context of de-novo situations that fat-tailed distributions expose in the cloud. This paper holistically unifies a smorgasbord of architectural concepts and frameworks that help unify and strengthen the Axiomatic Design approach for tackling cloud computing design. Adaptive Architecture Without the benefit of a holistic design framework, cloud architectures remain fragile. This is especially true in the context of cloud security. The axiomatic design framework is rare in upholding the holism of design
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