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FusionCloud 6.3.0 Solution Description 05

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Huawei uses machine translation combined with human proofreading to translate this document to different languages in order to help you better understand the content of this document. Note: Even the most advanced machine translation cannot match the quality of professional translators. Huawei shall not bear any responsibility for translation accuracy and it is recommended that you refer to the English document (a link for which has been provided).
Challenges to Traditional Data Centers

Challenges to Traditional Data Centers

Description

A traditional DC is built to provide highest performance to meet enterprise's service requirements. Resource distribution, network deployment, and O&M management for all service systems are independent. When building these DCs, enterprises focus on stable, safe, and reliable applications, but not on service expansion, resource usage, and simple management.

Challenges

Challenges faced by different industries in enterprise DCs and requirements for IT systems are as follows:

  • Government industry develops from decentralized e-government to data-intensive smart city, requiring IT systems to develop from traditional silo architecture to cloud-based transformation to implement resource integration and data convergence.
    • The original government DCs are faced with problems of isolated cooperation, siloed-type and repeated construction, and heavy investment in manpower and expenditure.
    • Applications are bound to resources. Each application is configured based on the peak-hour service load. Many resources are not fully utilized at most times, resulting low resource utilization. Additionally, complicated installation, configuration, and maintenance as well as the inefficient service deployment lead to inconvenient migration.
    • The construction process of traditional DC is slow because of multi-phase plannings, long construction period, and low efficiency.
    • The security protection capabilities are insufficient.
  • New technologies promote digital transformation of the financial industry. Requirements of the digital transformation are as follows:
    • Service innovation: Online, interactive, and remote service modes are required.
    • Service agility: Fast iterative development, update and upgrade, timely response to requirements, and innovation acceleration are required.
    • Intelligent analysis: Real-time risk control, precision marketing, market insight, and operation optimization are required.
  • The public security industry focus more on preventing criminal activities than combating crimes. Driven by in-depth application of big data and intelligent analysis, the challenges and requirements on IT are as follows:
    • The challenges of urban economic growth, population mobility, and resource shortage require well-coordinated plannings and intensive construction of IT resources.
    • Ever-increasing summits and events require cloudification and elastic scaling of IT resources.
    • Crime escalation of organized crimes, high IQ crimes, and terrorist attacks require the IT system to support big data analysis and intelligent analysis.
  • The challenges faced by large enterprises in the power and electricity and rail transportation industries are as follows:
    • Traditional power scheduling resources are dedicated, which leads to low resource utilization of existing hardware devices. Physical devices are scattered in different places and cannot be managed in a unified manner. The system deployment is complex and time-consuming, and services such as scheduling cannot be quickly brought online. Traditional scheduling centers cannot efficiently deal with massive services in real time, which cannot meet new service requirements such as online analysis and real-time warning. In addition, massive data computing is better than the traditional data platform, and therefore the traditional data platform cannot meet the requirements of service timeliness and scenario diversity.
    • Service systems of railway transportation lines are established separately, so information is not shared. The service data is basically "worthless", and the information-based construction is lagging behind. Repeated investment results in resource wastes.
  • Most carrier industries are in the virtualization phase and the cloudification has not been fully implemented. Transformation challenges from virtualization to cloudification are as follows:
    • Carriers have multiple siloed-type resource pools, and the resource utilization is inefficient due to resource fragmentation.
    • The resource-centered O&M mode obtains resources in a traditional manner which is time-consuming.
    • IT system lacks unified automation tools. Different maintenance tools are used for different resource pools, resulting in low efficiency.
    • The response to service requirements is slow and costly.
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Updated: 2019-04-23

Document ID: EDOC1100026685

Views: 160782

Downloads: 263

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