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China Courts’ Backlogs Eased by Huawei

Latest reply: Dec 16, 2016 10:16:02 1719 1 0 0 0


The Supreme People’s Court is the highest judicial organization responsible for hearing and deciding cases in China. The Court also is responsible for the administration of some 3,558 lower-level courts throughout the country. The Court upholds the objective of “spreading fairness and justice in every case to all,” and fulfills legal obligations according to the constitution and laws.

More awareness of laws and higher standards of living are influencing people to settle issues and conflicts through litigation, increasing the number of legal cases. In 2013, the Supreme People’s Court accepted 11,016 cases and resolved 9,716 cases (an average of 27 cases per day), an increase of 3.2 percent and 1.6 percent, respectively, since 2012. Courts at lower levels accepted 14.2 million cases and resolved 12.9 million cases (averaging 10 cases per day per court) — 7.4 percent and 4.4 percent more than 2012.


For all the courts, resolving the growing number of cases while upholding justice became a big challenge. In 2013, the Supreme People’s Court began to build a central data management platform that consisted of a case database, information exchange system, and directory service system. The goal was to implement an effective IT solution to support a platform that required the following:

  • Comprehensive, multi-dimensional, visualized services that include case status, judicial statistics, personnel information, quality and efficiency of trials, real-time data discovery, and searching
  • Big Data Analysis to store and correlate case data from all courts, including sorting and integrating information in a systematic manner
  • System-related information from different perspectives organized in layers for easier system administration and simpler O&M

To ensure that the new central data management platform would operate efficiently and reliably, a secure hardware and software environment was necessary. In addition, the new architecture needed to provide flexible scalability for future upgrades and expansion.

The original system consisted of midrange computers and Fibre Channel storage arrays. Hardware and software came from different vendors, so it was difficult to identify what was causing system performance bottlenecks. For example, when the number of data records in the Sybase IQ database reached billions, the architecture was unable to provide services. This created huge problems.


Upgrading the original system and expanding storage was not an option because costs would have been excessive: legacy servers and exchanges would need to be replaced by expensive high-end storage devices to eliminate performance issues. Huawei suggested using a converged architecture — FusionCube — to replace the original system architecture. FusionCube is ideal for server virtualization, private clouds, and application hosting. Expanding existing cloud data centers also is easier when using FusionCube.

With the integration of FusionStorage with Sybase IQ data, FusionCube can improve the performance of computing, storage I/O, and network throughput. By adding x86 universal servers, the infrastructure provides good compatibility and helps reduce TCO. The Court decided to perform Proof-Of-Concept testing on Huawei’s FusionCube. In the case of 3.2 billion data records:

Supreme People’s Court Improves Efficiency with Huawei FusionStorage

  • FusionCube data throughput time was about half that of a midrange computer
  • Response time was half that of a midrange computer
In the case of 6.4 billion data records:
  • Data throughput was 32 minutes
  • Computing response time was 3.7 minutes
  • Total I/O bandwidth was 6.56 Gbit/s, and I/O performance was 17 times that of a midrange computer


The Huawei FusionCube converged solution solved performance bottlenecks and provided space for future development. The Huawei FusionCube solution delivered even more advantages:

  • Higher performance (compared to a conventional midrange computer): a) I/O performance improved 17 times, b) Latency delays reduced by half, c) Data processing speed doubled
  • Better processing capabilities using 8 CPU virtualized systems to replace 16 CPU midrange computers; reduced the number of Sybase IQ license applications by 25 percent
  • Expanded linear capacity by adding computing and storage blades, and reduced investment costs by over 20 percent
  • Replaced midrange servers with general x86 servers, thereby simplifying O&M, improving efficiency by over 3 times, and reducing OPEX by over 50 percent 
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Created Dec 16, 2016 10:16:02

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