Shulou(Shulou.com)11/24 Report--

Cloud edge collaboration provides an intelligent, agile, safe, reliable, green and low-carbon basic guarantee for multiple ubiquitous computing needs. Cloud collaboration is not only the goal, but also the realization path, which will promote the vigorous rise of a new round of intelligent computing wave.

Double drive, cloud edge coordination has become an important development trend.

In China's 14th five-year Plan, it is clearly proposed to "coordinate the development of cloud services and edge computing services", while the State Council's "14th five-year Plan" Digital economy Development Plan also points out the need to "strengthen marginal computing capabilities oriented to specific scenarios".

Cloud computing is the first to centralize scattered ICT resources through the network, and provide customers with on-demand resources in the form of cloud services, which has greatly changed the way of social work and business model. With the help of the collaborative application of cloud computing resources and end-to-side data processing, cloud intelligent products have been developed rapidly. However, with the explosive growth of global and Chinese data, huge bandwidth and backhaul capacity are needed when massive equipment data are transmitted and processed to the central cloud, which will face great pressure on bandwidth load, network delay and transmission cost.

With the landing of smart city, autopilot, industrial Internet and other applications, massive terminal devices generate data in real time, centralized cloud computing will become more and more stretched in terms of bandwidth load, network delay, data management cost and so on. it is difficult to meet the needs of frequent data interaction, and the value of the edge side is further highlighted.

Edge computing can provide IT services and computing power locally, reduce the amount of uploaded data, save the time delay of network operation and service delivery, improve transmission efficiency, and enable massive data to be stored, processed, analyzed, decided and executed locally. Enterprises can choose to sink the computing power closer to the edge of the device, resulting in a new collaborative model of end-edge-cloud.

With the rapid development of cloud computing, the demand for edge computing is surging. According to the key data of STL Partners edge computing, the overall size of the global edge computing market will reach US $445 billion by 2030, with a compound annual growth rate of 48 per cent.

In the White Paper on collaboration between Edge Computing and Cloud Computing jointly issued by the Edge Computing Industry Alliance (ECC) and the Industrial Internet Industry Alliance (AII), it is clearly pointed out that the relationship between edge computing and cloud computing is not a substitute relationship, but a complementary collaborative relationship. Edge computing and cloud computing need to work closely together to better meet the matching of various demand scenarios, so as to enlarge the application value of edge computing and cloud computing. Edge computing is not only close to the execution unit, but also the collection and preliminary processing unit of high-value data needed in the cloud, which can better support cloud applications; on the contrary, the business rules or models optimized by big data analysis in cloud computing can be sent to the edge side, and edge computing is run based on new business rules or models.

Let a hundred flowers blossom to lay the foundation for promoting the high-quality development of computing infrastructure.

Nowadays, with the development of digital economy and the promotion and drive of AIGC represented by ChatGPT, the accelerating role of computing power as a new type of productive forces in the era of digital economy is further highlighted. In October 2023, the Action Plan for High-quality Development of Computing Infrastructure jointly issued by six departments, including the Ministry of Industry and Information Technology, pointed out that while promoting the coordinated development of intelligent computing power and general computing power in different computing architectures to meet various business needs, it is also necessary to speed up the construction of edge computing power and promote the ubiquitous distribution of computing power on the cloud edge.

After years of development, the overall industry and ecology of cloud computing and edge computing are becoming more and more mature, which has become an important support to enhance the level of information development and create new momentum of the digital economy. The coordinated development of cloud computing and edge computing can maximize the application value of cloud-edge computing. More and more cloud computing manufacturers began to extend and expand to the edge, cloud-side collaborative solutions, application cases gradually mature and quickly landed, providing a safe and reliable support for the digital transformation of enterprises.

Internationally, cloud computing giants Amazon, Microsoft and Google have all launched related edge computing products. Amazon launched AWS Greengrass functional software to extend AWS to devices to process data generated by terminals locally, while still using transport for management, data analysis and persistent storage. Microsoft released Azure IoT Edge edge products, which extend cloud analytics to edge devices, support offline use, and focus on edge artificial intelligence applications. Google also launched the hardware chip Edge TPU and software stack Cloud IoT Edge in 2018, which extends data processing and machine learning to edge devices, allowing devices to manipulate data from their sensors in real time and predict results locally.

In China, Huawei, Tencent, Xinhua and others have also launched corresponding edge computing products. Huawei launched the IEF platform in 2018, which provides the ability to extend cloud applications to the edge through nano-managed users' edge nodes, linkage edge and cloud data, and provide enterprises with complete edge and cloud collaborative edge computing solutions. Tencent launched CDN Edge for edge computing, sinking data center services to CDN edge nodes with the lowest latency to the corresponding end users, while reducing the computing pressure and network load on users' data centers. Launch smart edge BIE to extend cloud computing capabilities to users' site, provide temporary offline and low latency computing services, and cooperate with intelligent edge cloud management suite to form an integrated cloud solution of "cloud management while computing". Xinhua San launched the super-converged edge computing product UIS-Edge, which supports a variety of hardware forms and deployment methods, extends cloud native capabilities to the edge, provides perfect device access, edge computing and cloud-edge collaboration capabilities, and provides one-stop cloud-edge convergence solutions for enterprises.

In addition, from the government, industrial institutions to relevant alliances, they are also accelerating the promotion of research and standard-setting for cloud-side collaborative scenarios. In May 2019, the Green Computing Industry Alliance (GCC) and the Edge Computing Industry Alliance (ECC) signed a cooperation agreement to jointly promote the specification, test verification and implementation promotion of heterogeneous computing in the field of edge computing. GCC and ECC also jointly formed the Edge Computing Infrastructure Industry Promotion working Group (ECII) to develop IT infrastructure specifications and edge computing gateway specifications that host edge clouds. At present, ECII has issued the hardware technical specification of edge data center based on green computing, set up an ECII verification laboratory for technical verification, the "White Paper on Edge Computing IT Infrastructure" is constantly updated, and the action to create edge data center solutions and demonstration projects has also been fruitful.

ARM ecology is full of vitality driven by computing power.

In the era of "computing power is king", the core task is to promote the coordinated development of computing power layout and network architecture, and to realize the "through train" of computing power production, supply, scheduling, application and service. As one of the prerequisites, it is very important to speed up the construction of a computing infrastructure system of cloud-side coordination and the integration of computing, deposit and transportation.

China attaches great importance to the development of intelligent computing industry, focusing on the intelligent computing center, artificial intelligence, large models and other policy documents have been issued to speed up the industrial layout. Under this background, the chip ecology based on ARM architecture has attracted much attention.

As we all know, ARM processors are born with the advantage of high computing efficiency, so they are like a fish in water in terminal application scenarios, and have been widely embedded in edge controllers and edge gateways. In the past, a big bottleneck in the ecological development of ARM is that it is difficult to transplant its advantages in mobile applications to the server side. Driven by the collaboration at the edge of the cloud, the ecological space of ARM servers will naturally be further expanded.

ARM continues to expand the application scenarios of product coverage through technological innovation to promote the transformation of partners and customers from the cloud to the edge. As a founding member of the Edge Computing Industry Alliance (ECC), ARM, together with other members, contributes to accelerating the digital innovation and application of edge computing in various industries.

The native multi-core architecture of ARM processors can provide users with better performance and power consumption ratio, and plays a more important supporting role in the cloud-side integrated distributed cloud architecture. Huawei Kunpeng CPU and Feiteng CPU both belong to ARM architecture, and there are many successful application cases in Yunbian collaborative application scenarios. For example, Huawei has long been committed to achieving a breakthrough in the scene of ARM applications, and now provides users with more cost-effective computing power in the areas of big data, distributed storage, ARM native, high-performance computing and database applications. For example, Feiteng and Xiyun Technology jointly launched a joint solution for industrial digital cloud platform, using Feiteng high-performance chip as a computing engine to promote efficient collaborative computing and industrial low-code programming in the industrial field in the context of new industrialization.

In order to further improve the diversity computing technology system and promote the construction of an open and innovative ecology in the field of information technology, the Green Computing Industry Alliance (GCC) and the Edge Computing Industry Alliance (ECC), starting with standardization, continue to carry out core technology research, strengthen the integration of industry, university, research and application, and promote the large-scale application of related computing products. GCC successfully held the "Green Computing Industry Alliance Industry solution demonstration case selection activity" in 2022, and the selected cases were compiled into the "2022 Green Computing Industry Alliance Industry solution demonstration case set", which strongly promoted the wide landing of green computing applications in various industries. Since 2019, the Edge Computing Industry Alliance and the Industrial Internet Industry Alliance have continuously held the selection activities of "excellent Solutions for Edge Computing" for five consecutive years. The aim is to promote the application innovation of edge computing technology products, promote the rapid incubation of high-value replicable innovative solutions for edge computing, and accelerate the demonstration and promotion of edge computing technology products and edge computing standard parts in various application fields.

In addition, GCC actively promotes the formulation and evaluation of standards, and a number of standards such as "Technical Specification for Mobile Office Cloud Mobile phones", "Technical specifications for Cloud Mobile phone user experience quality Evaluation" and "Technical requirements for Server serviceability Evaluation" have been formally established. In terms of personnel training, GCC continues to build the China Open Source Software Innovation Competition, covering thousands of universities and nearly 80,000 university developers. In terms of promoting industrial research, GCC, together with member units, jointly compiled the "White Paper on the Development of Green Computing Industry", which covers the benchmark of successful cases such as chips, operating systems, databases, basic software, and application software, and outlines the whole picture of the development of the green computing industry.

Cloud-side collaboration, a new era of win-win computing

Computing power is the driving force to promote industrial transformation and upgrading, empower scientific and technological innovation, and achieve efficient social governance. The collaborative deployment of computing power by cloud is one of the key tasks to improve the computing power supply system, and it is of great significance for the application of computing power enabling industry and digital transformation.

Cloud-edge collaboration will lead cloud computing and edge computing to further integration. From the perspective of technology and architecture, traditional cloud computing and edge cloud are gradually integrated to form a hierarchical computing architecture. In terms of the needs of users, they further improve the efficiency of resource sharing and utilization by merging the resources of the central cloud with the edge nodes to create a more integrated business architecture. For example, the cloud edge collaborative intelligent defect detection platform for industrial Internet, relying on the cloud native technology system, sinks the enterprise digital infrastructure to the production activity site. Around the three core dimensions of edge node autonomy, application-model integrated management and production activity data docking, the cloud edge-to-end connection is strengthened and the inconsistency of technology stack is eliminated. In industrial vision, industrial AI inspection and other business scenarios, it can improve the efficiency of cloud edge coordination and reduce the cost of operation and maintenance management.

Yunbian collaboration can better reduce the threshold for the use of computing power, enable the application of ecology, accelerate the cultivation of new business type, a new model, and empower the digital transformation of thousands of industries. There are numerous successful cases in related industries. For example, with the aim of "lowering the layout threshold and strengthening the intelligence of algorithms", the industrial edge intelligent control scheme based on CPS excavates the data value through advanced and various means, provides a total station comprehensive solution for the industrial control scene, and makes the traditional monitoring plate move towards intelligent monitoring plate and automatic control to intelligent control. In addition, it is worth mentioning that the Yunbian Collaborative Intelligent Tunnel solution based on Kaiyuan Hongmeng, guided by the autonomous controllability and comprehensive management and control of the intelligent tunnel, combined with the technical advantages of the open source Hongmeng operating system, and made use of the Yunbian collaborative architecture model, to build a new generation of intelligent control network based on Yunbian collaboration, and comprehensively enhance the comprehensive business capabilities of highway tunnels, such as low-carbon energy saving, equipment management and control, emergency command and operation and maintenance.

In response to the call of "Digital China Construction overall layout Plan" and "Action Plan for High-quality Development of Computing Infrastructure", to better present the full picture of the computing industry with cloud collaboration, diversity, smart agility, security and reliability, green and low-carbon computing industry, the Green Computing Industry Alliance (GCC) and the Edge Computing Industry Alliance (ECC) will jointly hold the "2023 Computing Industry Ecology Conference (CIEC 2023)" in Beijing on December 13-14. We will try our best to create a high-end, authoritative and forward-looking industrial ecological event covering the whole industrial chain of green computing, marginal computing and other computing fields. In addition, the conference specially set up a "Border Cloud collaboration topic Forum", please pay attention!

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