Qi Niu Yun Feng Liyuan: the evolution of edge Storage

On July 6, October 18-20, 2018, The qcon global software development conference was held at Marriott Shanghai, sponsored by geek state technology and infoq China. As a comprehensive technology event, the qcon global software development conference is held every year in London, Beijing, Tokyo, New York, Sao Paulo, Shanghai, and San Francisco, the qcon Conference Shanghai site has set up more than 30 topics, inviting more than 150 well-known companies at home and abroad to share their current hot technical topics.

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In the cutting-edge application and innovation (solution Session), Feng Liyuan, head of storage R & D at qiniu cloud, was invited to attend, and delivered a brilliant speech titled evolution of qianniu cloud edge storage, this section describes in detail the architecture design of edge storage, the evolution of qiniu cloud storage from centralization to marginalized, and the combination of qiniu cloud edge storage and edge computing, the guests were given full technical support.

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Feng Liyuan, qiniu cloud storage R & D Director

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Identifying user pain points qiniu cloud's "edge" SOLUTION

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According to an authoritative survey, it is predicted that the number of Iot devices worldwide will exceed 2020 from 50 billion. Currently, smart video devices are showing a social development. Now, we can see that some traditional industries such as household appliances and cameras are already used in the Internet of Things. For example, the temperature data on the refrigerator can be uploaded to the cloud, and home cameras can be used to monitor the crying of children in the house and abnormal wrestling of the elderly.

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In this regard, Feng Liyuan said, "in order to obtain sufficient computing and storage resources, many customers' business processing operations occur in the back-end data center or directly transferred to the cloud. With the emergence of problems such as insufficient network bandwidth, computing latency, and data security, more and more vendors are beginning to realize the importance of edge computing capabilities .」

According to Gartner's forecast, by 2021, 40% enterprises will have their edge computing strategies, compared with 2017 in 1%. Similarly, according to IDC survey data, by 2021, the global cloud computing market will reach 565 billion US dollars, of which about 20% is the edge cloud, and the market scale can reach 113 billion US dollars, among them, 43% of Iot computing will happen on the edge.

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As the leading enterprise-level cloud computing service provider focusing on data intelligence and visual intelligence in China, qiniu cloud is actively deploying edge computing. Based on its mature and complete cloud storage, video cloud, and CDN capabilities, qiniu cloud breaks through the limitations of the traditional architecture to address the many problems currently encountered by service customers and potential customers, edge storage and edge computing are available to solve these problems.

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Qiniu cloud edge storage: de-SD helps the monitoring industry reduce replacement costs

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At the meeting, Feng Liyuan introduced qianniu cloud edge storage and edge computing. Feng Liyuan said, "The qiniu cloud edge storage service can provide Edge Nodes Based on the qiniu cloud edge nodes and customer-side edge nodes, near the data and customer access side, it provides storage services that maximize link bandwidth utilization and are highly reliable and highly available to meet customers' key needs in areas such as large capacity and nearby storage, data security, and privacy protection, compatible with existing interfaces and sdks of qiniu cloud public cloud storage, and seamless connection with the cloud, zero-cost migration and expansion. 」

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Taking the monitoring industry as an example, Feng Liyuan explained in detail the advantages of qiniu cloud edge storage. 「 In traditional monitoring devices, users need to purchase a large number of SD cards and nvr devices for video data storage, which is costly. In the monitoring application scenario, the monitoring device needs to read and write continuously for 7x24 hours, which also makes the life of the SD card very short. You need to constantly change the SD card and maintain it for maintenance personnel to make the monitoring system run normally. Edge storage can greatly reduce the purchase of SD cards and nvr devices and replace them with edge storage, while also greatly reducing unnecessary O & M costs .」 Said Feng Liyuan.

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According to reports, in the traditional cloud storage process, because the transmission link is very long, it needs to be transferred to the cloud storage center by multiple carriers, resulting in low bandwidth utilization. However, edge storage can be used for nearby storage to maximize the available link bandwidth and increase upload and download speeds by more than 60% on average.

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Typical Case Analysis of qiniu cloud edge Storage

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At last, Feng Liyuan summarized the edge storage of qiniu cloud into six service advantages:

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Nearby high-speed upload: Nearby upload, nearby storage

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Fully compatible with extensions: Compatible with existing object storage Interfaces

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Deploy services as needed: Deployed on existing CDN edge nodes, which can be deployed in the client room

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Overall SLA Protection: 99.9% availability and 99.9999999% Reliability

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Diverse functional services: Rich cloud storage sdks and APIs

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High-speed and reliable transmission: Provides customers with sufficient upstream bandwidth.

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Qianniu cloud edge computing: expands Edge intelligence to provide low latency, high reliability, and high availability

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According to Feng Liyuan, The qiniu cloud edge computing service can provide Edge Nodes Based on the qiniu cloud edge nodes and customer-side edge nodes, near the user data and access side, provides low-latency, high-reliability, and high-availability nearby Elastic Computing services to meet customers' key needs in real-time business, Application Intelligence, data processing and analysis, data security, and privacy protection, you can flexibly configure and manage large-scale edge computing applications and expand Edge intelligence.

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Qiniu cloud edge computing and Analysis Solution

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According to reports, qiniu cloud has launched video edge storage solutions and video edge analysis solutions for video security, smart commerce, and new retail.

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The edge storage solution for monitoring videos improves the transmission and access speed of monitoring videos. At the same time, this solution can integrate edge computing services, Intelligent Edge Nodes, expand business scenarios, and upgrade services. With the explosive growth of AI technology, qiniu cloud's video edge analysis solution can deploy traditional machine vision applications that can only run on the cloud near data sources or users' access hotspots, this not only improves the response speed of traditional video analysis applications, but also expands the application fields and scenarios of video analysis. It has a huge space to imagine.

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Qiniu cloud

As a leading enterprise-level cloud computing service provider focusing on visual intelligence and data intelligence in China, qiniu cloud is able to perceive the potential problems and future development trends of the cloud computing industry, edge storage and edge computing products are launched. Combined with their deep practices in video security, machine vision, and other fields with high-quality customers, edge storage solutions and video edge analysis solutions are released. In the future, qiniu cloud will continue to consolidate the basic cloud computing capabilities for its customers and jointly expand new businesses in the AI and IOT era.

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Qi Niu Yun Feng Liyuan: the evolution of edge Storage