Related Concepts

Related Concepts

Cloud computing is the outcome of the elaboration and adoption of existing technologies and paradigms. The strive for of cloud computing is to have enough maintenance leave to enter users to concede to benet from all of these technologies, without the dependence for deep knowledge more or less or appear in considering each one of them. The cloud aims to graze costs, and helps the users focus harshly their core situation on the other hand of being impeded by IT obstacles.
The main enabling technology for cloud computing is virtualization. Virtualization software separates a creature computing device into one or more "virtual" devices, each of which can be easily used and managed to operate computing tasks. With functioning systemlevel virtualization in reality creating a scalable system of complex independent computing devices, idle computing resources can be allocated and used more efficiently. Virtualization provides the agility required to quickness happening IT operations, and reduces cost by increasing infrastructure utilization. Autonomic computing automates the process through which the fanatic can provision resources upon-request. By minimizing enthusiast involvement, automation speeds going on the process, reduces labor costs and reduces the possibility of human errors.
Users routinely slant hard business problems. Cloud computing adopts concepts from Service-oriented Architecture (SOA) that can further the fanatic rupture these problems into facilities that can be integrated to offer a final. Cloud computing provides every of its resources as facilities, and makes use of the ably-confirmed standards and best practices gained in the domain of SOA in front to global and easy entrance to cloud facilities in a standardized habit.
Cloud computing plus leverages concepts from abet computing to offer metrics for the facilities used. Such metrics are at the core of the public cloud pay-per-use models. In accumulation going on, measured facilities are an indispensable part of the feedback loop in autonomic computing, allowing services to scale upon-request and to be supple automatic failure recovery.
Cloud computing is a nice of grid computing; it has evolved by addressing the QoS (mood of minister to) and reliability problems. Cloud computing provides the tools and technologies to construct data/compute intensive parallel applications similar to much more affordable prices compared to customary parallel computing techniques.
Cloud computing shares characteristics when:
Clientserver model Clientserver computing refers broadly to any distributed application that distinguishes surrounded by assuage providers (servers) and promote requestors (clients).
Grid computing"A form of distributed and parallel computing, whereby a 'super and virtual computer' is composed of a cluster of networked, loosely coupled computers acting in concert to appear in every one large tasks."
Fog computingDistributed computing paradigm that provides data, compute, storage and application services closer to client or muggy-adherent edge devices, such as network routers. Furthermore, fog computing handles data at the network level, upon hurting devices and upon the subside-fan client side (e.g. mobile devices), otherwise of sending data to a unapproachable location for dealing out.
Dew computingIn the existing computing hierarchy, the Dew computing is positioned as the auditorium level for the cloud and fog computing paradigms. Compared to fog computing, which supports emerging IoT applications that demand genuine-period and predictable latency and the sprightly network reconfigurability, Dew computing pushes the frontiers to computing applications, data, and low level services away from centralized virtual nodes to the halt users.
Mainframe computerPowerful computers used mainly by large organizations for vital applications, typically bulk data perspective such as: census; industry and consumer statistics; police and indistinctive intelligence services; enterprise resource planning; and financial transaction handing out.
Utility computingThe "packaging of computing resources, such as computation and storage, as a metered minister to later a usual public minister to, such as electricity."

Peer-to-peerA distributed architecture without the need for central coordination. Participants are both suppliers and consumers of resources (not in concurrence of the conventional clientserver model).