GB/T 37735-2019 in English
VALIDInformation technology—Cloud computing—Cloud service metering indicators
- Issued on:2019-08-30
- Implemented on:2020-03-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
$127.00
《GB/T 37735-2019信息技术 云计算 云服务计量指标》由TC28(全国信息技术标准化技术委员会)归口,主管部门为国家标准化管理委员会。
Introduction
GB/T 37735—2019: Interpretation of the Standard for Metrics of Cloud Computing and Cloud Services
Introduction
GB/T 37735—2019 "Information Technology Cloud Computing and Cloud Services Metrics" is the latest standard issued by the National Standardization Administration of China. It aims to standardize the metrics and units of cloud services and is applicable to the provision, procurement, auditing and supervision of various types of cloud services. This standard was proposed and managed by the National Information Technology Standardization Technical Committee, covering three major parts: infrastructure, platform and application.
| Service type | Metrics | Basic unit | Description |
|---|---|---|---|
| Infrastructure services | CPU cores, memory capacity, data disk capacity, running time | Cores, B, S | Hardware resources and running time of virtual machine instances |
| Storage services | Storage capacity, IOPS, throughput | B, times/s, B/s | Data storage performance and capacity |
| >Network Services | Number of public IPs, bandwidth, and traffic | Personal, bit/s, B | Allocation and usage of network resources |
Background of Standard Formulation and Analysis of Technology Evolution
With the rapid development of cloud computing technology, cloud services are increasingly widely used. In order to unify and regulate market behavior, improve service quality and technical comparability, this standard came into being. It reflects the evolution of cloud computing technology from infrastructure to platform services to application services, and provides clear technical guidance for each link.
Implementation Suggestions
Case Study: Virtual Machine Service Instance
- The number of CPU cores affects computing power, and appropriate configurations need to be selected according to application requirements.
- Memory capacity determines the number of tasks processed simultaneously and should match the needs of the application.
- Data disk capacity and runtime directly affect service stability and sustainability.

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