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Cloud computing architecture refers to the components and subcomponents required for cloud computing.These components typically consist of a front end platform (fat client, thin client, mobile), back end platforms (servers, storage), a cloud based delivery, and a network (Internet, Intranet, Intercloud).
Instead, the C4 model recommends using simple diagrams based on nested boxes in order to facilitate interactive collaborative drawing. The technique also promotes good modelling practices such as providing a title and legend on every diagram, and clear unambiguous labelling in order to facilitate the understanding by the intended audience.
The first version of the Enterprise Collaboration Architecture (ECA) has been published by the Object Management Group (OMG) in 2001. The vision of the (ECA) is to simplify the development of component based and services oriented systems by providing a modeling framework aligned with the model-driven architecture (MDA) of the Object Management Group (OMG).
Enterprise architecture regards the enterprise as a large and complex system or system of systems. [3] To manage the scale and complexity of this system, an architectural framework provides tools and approaches that help architects abstract from the level of detail at which builders work, to bring enterprise design tasks into focus and produce valuable architecture description documentation.
Collaboration Oriented Architecture is the ability to collaborate between systems that are based on the Jericho Forum principles or "Commandments". [ 1 ] Bill Gates and Craig Mundie (Microsoft) [ 2 ] [ 3 ] clearly articulated the need for people to work outside of their organizations in a secure and collaborative manner in their opening keynote ...
DVM-cloud architecture. To establish a cloud-dew architecture on a PC, a dew virtual machine (DVM) is needed. The DVM is an isolated environment for executing the dew server on the local PC, and it consists of at least three components: the dew server (DS), the data analytics server (DAS), and the artificial intelligence of the dew (AID). [5]
Cloud computing abstractions aim to simplify resource management, but leaky abstractions can expose underlying complexities. These variations in abstraction quality depend on the cloud vendor, service and architecture. Mitigating leaky abstractions requires users to understand the implementation details and limitations of the cloud services ...
Architecture styles typically include a vocabulary of component and connector types, as well as semantic models for interpreting the system's properties. These styles represent the most coarse-grained level of system organization. Examples include Layered Architecture, Microservices, and Event-Driven Architecture. [1] [2] [3]
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