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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).
Cloud architecture, [102] the systems architecture of the software systems involved in the delivery of cloud computing, typically involves multiple cloud components communicating with each other over a loose coupling mechanism such as a messaging queue. Elastic provision implies intelligence in the use of tight or loose coupling as applied to ...
A deployment diagram [1] "specifies constructs that can be used to define the execution architecture of systems and the assignment of software artifacts to system elements." [1] To describe a web site, for example, a deployment diagram would show what hardware components ("nodes") exist (e.g., a web server, an application server, and a database server), what software components ("artifacts ...
UML diagrams used to represent the physical view include the deployment diagram. [2] Scenarios: The description of an architecture is illustrated using a small set of use cases, or scenarios, which become a fifth view. The scenarios describe sequences of interactions between objects and between processes.
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]
In the context of cloud computing, the main difference between workflow automation and orchestration is that workflows are processed and completed as processes within a single domain for automation purposes, whereas orchestration includes a workflow and provides a directed action towards larger goals and objectives. [2]
Kubernetes architecture diagram. Kubernetes defines a set of building blocks ("primitives") that collectively provide mechanisms that deploy, maintain, and scale applications based on CPU, memory [29] or custom metrics. [30] Kubernetes is loosely coupled and extensible to meet the needs of different workloads.
Enterprise architecture (EA) is a mechanism for understanding all aspects of the organization, and planning for change. Those aspects include business transformation, business process rationalization, business or capability-driven solution development, application rationalization, transformation of IT to the cloud, server consolidation, service management and deployment, building systems of ...
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