ХарактеристикиСамообслуживание по т

Характеристики
Самообслуживание по требованию – потребитель самостоятельно определяет и изменяет вычислительные потребности, такие как серверное время, скорости доступа и обработки данных, объём хранимых данных без взаимодействия с представителем поставщика услуг;
Универсальный доступ по сети – услуги доступны потребителям по сети передачи данных вне зависимости от используемого терминального устройства;
Объединение ресурсов – поставщик услуг объединяет ресурсы для обслуживания большого числа потребителей в единый пул для динамического перераспределения мощностей между потребителями в условиях постоянного изменения спроса на мощности; при этом потребители контролируют только основные параметры услуги (например, объём данных, скорость доступа), но фактическое распределение ресурсов, предоставляемых потребителю, осуществляет поставщик (в некоторых случаях потребители всё-таки могут управлять некоторыми физическими параметрами перераспределения, например, указывать желаемый центр обработки данных из соображений географической близости);
Эластичность – услуги могут быть предоставлены, расширены, сужены в любой момент времени, без дополнительных издержек на взаимодействие с поставщиком, как правило, в автоматическом режиме;
Учёт потребления – поставщик услуг автоматически исчисляет потреблённые ресурсы на определённом уровне абстракции (например, объём хранимых данных, пропускная способность, количество пользователей, количество транзакций), и на основе этих данных оценивает объём предоставленных потребителям услуг.
С точки зрения поставщика, благодаря объединению ресурсов и непостоянному характеру потребления со стороны потребителей, облачные вычисления позволяют экономить на масштабах, используя меньшие аппаратные ресурсы, чем требовались бы при выделенных аппаратных мощностях для каждого потребителя, а за счёт автоматизации процедур модификации выделения ресурсов существенно снижаются затраты на абонентское обслуживание.
С точки зрения потребителя эти характеристики позволяют получить услуги с высоким уровнем доступности и низкими рисками неработоспособности, обеспечить быстрое масштабирование вычислительной системы благодаря эластичности без необходимости создания, обслуживания и модернизации собственной аппаратной инфраструктуры.
Удобство и универсальность доступа обеспечивается широкой доступностью услуг и поддержкой различного класса терминальных устройств (персональных компьютеров, мобильных телефонов, интернет-планшетов).

Результаты (английский) 1:

CharacteristicsOn-demand self-service-user defines and modifies the computational needs such as server time, speed of access and data processing, the amount of stored data without interaction with a representative of the service provider;Universal network access services available to consumers on the transmission network of data, regardless of the terminal device;The pooling of resources-supplier of services brings together the resources to service a large number of consumers into a single pool for dynamic redeployment of capacity between consumers in the context of ever-changing demand for power; While consumers are in control of only the basic parameters of the service (e.g., amount of data access speed), but the actual distribution of resources provided by the consumer, the provider undertakes (in some cases, consumers still can manage some physical parameters of redistribution, for example, to specify the desired data processing centre for reasons of geographical proximity);Elasticity-services can be provided, expanded, narrowed, at any time, without additional costs, to interact with the supplier, usually in automatic mode;-Consumption metering service provider automatically calculates the resources used at some level of abstraction (for example, the volume of stored data, bandwidth, number of users, number of transactions), and on the basis of these data, estimates the volume of services supplied to consumers.From the perspective of the provider, through the pooling of resources and inconsistent nature of consumer consumption, cloud computing can save on scale, using less hardware resources than would be required if the selected hardware capacity for each user, and the expense of automation modification of resource allocation substantially reduced costs for subscription services.From the perspective of a consumer of these characteristics allow to receive services with high availability and low risks inoperability, ensure rapid scale computing system due to elasticity without the need to create, maintain, and upgrade their own hardware infrastructure.Convenience and universality of access is provided by the wide availability of services and support for various class terminal devices (personal computers, mobile phones, Internet tablets).

Результаты (английский) 2:

Features
Self-service on demand - consumer determines and modifies the computing needs, such as server time, access speed and data processing, the amount of stored data without interaction with a representative of the service provider;
Universal access network - services available to consumers over a data network is used regardless of the terminal device;
Pooling resources - service provider combines the resources to service a large number of customers in a single pool for dynamic reallocation of power between consumers in conditions of constant changes in power demand; while consumers control only the basic parameters of services (for example, the amount of data access speed), but the actual distribution of resources provided to the consumer, performs supplier (in some cases, consumers may still control some of the physical parameters of redistribution, for example, to specify the desired data center of the geographical proximity reasons);
Elasticity - service can be provided, expanded narrowed at any time, without any additional costs for the interaction with the supplier, usually in an automatic mode;
Accounting for consumption - the service provider will automatically calculate the resources consumed to at a certain level of abstraction (for example, the volume of stored data, bandwidth, number of users, number of transactions), and on the basis of these data, we estimate the volume of services provided to consumers.
From the standpoint of a supplier, by pooling resources and intermittent consumption by consumers, cloud computing allows economies of scale, using less hardware resources than would be required with the dedicated hardware capacity for each user, and by automating resource allocation modification procedures are significantly reduced in the subscription service costs.
From a consumer perspective, these characteristics make it possible to receive services with a high level of availability and low risk of failure, to ensure rapid scaling due to the elasticity of the computer system without the need to create, maintain and upgrade its own hardware infrastructure.

Результаты (английский) 3:

the characteristics ofself service on demand, the consumer sets and modifies the computing requirements, such as the server, the access speed and data processing, the volume of stored data without interaction with the service provider.universal access to services available to consumers on the network is the network data transfer regardless of the terminal device.the pooling of resources, service provider combines the resources to service a large number of consumers in a single pool for dynamic redistribution of capacity between consumers in the face of constant changes in demand for power, while consumers are only the basic parameters of services (for example, the amount of data access speed), but the actual allocation of resources the consumer, has the supplier (in some cases, consumers still can manage some physical parameters of, for example, specify how data center for reasons of geographical proximity).elasticity is the services can be provided, expanded, narrowed at any time, without the additional costs for the interaction with the supplier, as a rule, in the automatic mode.records of consumption, the service provider is automatically calculated потреблённые resources at some level of abstraction (e.g., volume of stored data, bandwidth, number of users, the number of transactions), and on the basis of these data, the volume of services provided to consumers.from the point of view of the supplier, by combining the resources and non permanent nature of consumption from the consumer side, cloud computing, which saves up to scale using less hardware resources than required in the available hardware capacity for each consumer, and the automation of the procedures for modification of the allocation of resources significantly lowered the cost of абонентско e service.from the user point of view, these characteristics provide services with high availability and low risk working, ensure the rapid scaling of computing system through the elasticity without the need of creation, maintenance and upgrade its own hardware infrastructure.convenience and universality of access is the availability of services and support different class terminal devices (personal computers, mobile phones, the internet and).