Shenzhen Stock Exchange Builds Innovative Industry Cloud to Meet Explosive Demand for High Performance Systems
公司规模
Large Corporate
地区
- Asia
国家
- China
产品
- Mirantis OpenStack Platform
- Juniper Contrail
- OpenStack Fuel tool
- OpenStack 7.0
- Ceph and dedicated SAN storage pools
技术栈
- OpenStack
- Software Defined Networking (SDN)
- Intel based servers
- Hadoop
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 云存储服务
- 网络与连接 - 软件定义网络
适用行业
- 金融与保险
适用功能
- 离散制造
- 物流运输
用例
- 预测性维护
- 车队管理
- 边缘计算与边缘智能
服务
- 云规划/设计/实施服务
- 软件设计与工程服务
- 系统集成
关于客户
The Shenzhen Stock Exchange (SZSE) is located in southeast China’s fast-growing Guangdong Province. It processes millions of trades each day for its 1700 listed companies. The country’s second-largest exchange now handles 14 trillion RMB of transactions per month. The investment industry in China is expanding quickly, with private equity funds now exceeding 20,000, a 120 percent increase in eight months, and fund management growth is outpacing the total finance market. Shenzhen Securities Communication Co (SSCC), the IT services subsidiary of SZSE, provides IT services to SZSE and hundreds of other financial institutions. In addition to providing market data, trading, and clearing for the exchange, it maintains data centers throughout the country to service investment companies.
挑战
The Shenzhen Stock Exchange (SZSE), China's second-largest exchange, was experiencing rapid growth, processing millions of trades each day for its 1700 listed companies. However, the existing IT systems were not meeting the computational needs of fund managers. Traditional client-server technology began to fall short of performance requirements and lacked the flexibility to accommodate fast-moving industry developments. To thrive, fund managers needed new systems that were scalable, centralized, and not locked into specific vendors or architectures. The new systems also needed to be high-performing, elastic, open, and secure to meet the stringent regulations of the China Securities Regulatory Commission (CSRC).
解决方案
In 2014, SSCC developed a vision to enhance systems for the entire community by building an industry-first financial cloud; a public cloud accessible only to investment companies. To bring this vision to reality, SSCC chose Mirantis to design and deploy the new cloud. The core production center of the new financial cloud is located in Dongguan while data centers in Beijing, Hong Kong, Shanghai, Shenzhen, and Wuhan provide regional, backup, and application-specific resources. The Mirantis based OpenStack financial cloud architecture includes Juniper Contrail in high availability (HA) mode for Software Defined Networking (SDN) and two types of Cinder backend storage pools – Ceph and dedicated SAN for mission-critical applications. The OpenStack Fuel tool, included in the Mirantis OpenStack distribution, is used to deploy and manage all components of the cloud.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
Case Study
Smooth Transition to Energy Savings
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client. Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.
Case Study
Automated Pallet Labeling Solution for SPR Packaging
SPR Packaging, an American supplier of packaging solutions, was in search of an automated pallet labeling solution that could meet their immediate and future needs. They aimed to equip their lines with automatic printer applicators, but also required a solution that could interface with their accounting software. The challenge was to find a system that could read a 2D code on pallets at the stretch wrapper, track the pallet, and flag any pallets with unread barcodes for inspection. The pallets could be single or double stacked, and the system needed to be able to differentiate between the two. SPR Packaging sought a system integrator with extensive experience in advanced printing and tracking solutions to provide a complete traceability system.
Case Study
Transforming insurance pricing while improving driver safety
The Internet of Things (IoT) is revolutionizing the car insurance industry on a scale not seen since the introduction of the car itself. For decades, premiums have been calculated using proxy-based risk assessment models and historical data. Today, a growing number of innovative companies such as Quebec-based Industrielle Alliance are moving to usage-based insurance (UBI) models, driven by the advancement of telematics technologies and smart tracking devices.
Case Study
MasterCard Improves Customer Experience Through Self-Service Data Prep
Derek Madison, Leader of Business Financial Support at MasterCard, oversees the validation of transactions and cash between two systems, whether they’re MasterCard owned or not. He was charged with identifying new ways to increase efficiency and improve MasterCard processes. At the outset, the 13-person team had to manually reconcile system interfaces using reports that resided on the company’s mainframe. Their first order of business each day was to print 20-30 individual, multi-page reports. Using a ruler to keep their place within each report, they would then hand-key the relevant data, line by line, into Excel for validation. “We’re talking about a task that took 40-80 hours each week,” recalls Madison, “As a growing company with rapidly expanding product offerings, we had to find a better way to prepare this data for analysis.”
