Reviews for 'Cloud Computing - Others'
Gartner defines cloud infrastructure management (CIM) systems for communications services providers (CSPs) as a set of operations and management support applications and tools to enable CSPs to orchestrate and manage the use of cloud-based network resources. These cloudified compute, storage and networking infrastructure resources may be located in far-edge, near-edge or regional/national CSP premises, or in partner data center locations — such as those of public cloud providers, other CSPs or technology vendors. These network infrastructure resources are used to host virtualized and/or containerized network functions and applications, and related support systems. The CIM systems for CSPs deliver efficient, intent-based, API-diven, zero-touch planning, provisioning, and operations of hardware and software resources, enabling the hyper automation of the network cloud infrastructure.
Gartner defines container management as offerings that enable the deployment and operation of containerized workloads. Delivery methods include stand-alone software or as a service. Delivery methods include cloud, managed service and software for containers running on-premises, in the public cloud and/or at the edge. Container management automates the provisioning, operation and life cycle management of containerized workloads at scale. Centralized governance and security policies are used to manage container workloads and associated resources. Container management supports the requirements of modern applications (also refactoring legacy applications), including platform engineering, cloud management and continuous integration/continuous deployment (CI/CD) pipelines. Benefits include improved agility, elasticity and access to innovation.
An embedded operating system (OS) is a type of OS that is used in embedded computing devices. The term 'embedded' refers to devices that are installed (that is, embedded) as built-in components of a wider system, in which they serve a special, functional purpose. Embedded OSs differ from other types of OSs by their optimized design. Form factors, price points and other parameters of embedded devices set constraints on the OS, for example, in terms of functionality, user interface, memory space and driver support. Consequently, the architectures of embedded OSs tend to be extensively optimized for single-purpose deployment, stripped out of anything that is considered unnecessary for their use. This does not mean that embedded OSs cannot be applied outside of embedded devices. For instance, it is common to see embedded real-time operating systems (RTOSs) being used to handle the baseband functionality in smartphones.