Cloud Computing Standardization Requirements analysis:
From a technical point of view
- Concept and Definition: Standardize the concept, definition and content of cloud computing;
- Interoperability: the need to develop distributed computing resources, storage resources between the interface standards to better solve interoperability problems;
- Virtualization: the need to develop network, hardware and other resource virtualization format specification, to solve the problem of resource virtualization, scheduling and circulation;
- Application development and deployment: need to develop the virtual resource Pool Application Development Interface specification, for the development and deployment of upper-level applications and applications to provide better support;
- Related products: need to develop Distributed file system, distributed database, resource virtualization system, such as the function of products, performance requirements and other standards to improve product quality to provide support.
From an operational and security management perspective
- Service capacity: Need to develop standard specifications to provide cloud computing services should have the conditions and capabilities
- Service Quality Evaluation: we need to establish the evaluation standard of cloud service quality and guarantee the quality of service
- Operational maintenance: The need for cloud computing-related computing resources, storage resources for the operation and maintenance of relevant standards, to improve operations to provide support;
- Security management: the need to develop data storage security and transport security, cross-cloud security management and other regulatory, such as cross-cloud identification, access control, security audit, etc.
- Energy efficiency Management: the need to develop standards for green data center construction, to achieve energy-saving emission reduction, low carbon supply standard support.
Big Data standardization requirements analysis:
From a technical point of view
- Data preparation technology: Provide the basis for unified storage of data through standard normalized data representation, metadata type and operation mode.
- Data storage technology: the need to develop a distributed file system, Data Warehouse related standards, to solve the problem of reliable storage of multi-type data.
- Data platform technology: The data platform is related to service-oriented architecture (SOA), Data parallel processing (MapReduce) and other technologies, China has developed a series of standards in SOA standardization, with a good foundation to support big data development. In the process of data parallel processing, the interface specification needs to be developed to provide better interoperability support for the development and deployment of upper-level applications.
- Data processing technology: Need to make big data analysis technology requirements, analysis process models, visual tools requirements and other standards to improve the quality of large data processing products.
From a market point of view
- Big data changes the way the economy and society manage. It can improve business decision-making level and efficiency, promote innovation, bring value to enterprise and industry field.
- Promote industry integration and development. With the promotion of technology and business, cross-domain, cross-system, cross-regional data sharing is possible, big data support the organization business decision-making and management decisions of precision and scientific, social overall level of business synergy efficiency increased.
- Promote industrial transformation and upgrading. In the big Data Environment, the ICT industry faces challenges such as efficient storage, real-time analysis, and high-performance computing, which will have an important impact on the software industry, the chip, and the storage industry.
- Help smart cities build. Big Data and Smart city is the content and platform of information construction, which is the driving force of each other. Smart cities are the source of big data, and big data is the core of smart cities.
Through the development of big Data quality evaluation index, data management technology requirements, data access interface specification, data query Language standards, for the market-oriented application of big data to provide support.
standardization organization at home and abroad:
Domestic standardization organization:
1. National Beacon Committee (TC28)Cloud computing, ITSS, unstructured workgroups, data management, SOA, and more
2. National Trust and Safety Commission (TC 260)
Participating International Organization for Standardization
JTC1, ITU-T, DMTF, SNIA, OASIS, etc.
2015-08
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What are the standardization requirements and standardization organizations for cloud computing and big data?
