边缘计算白皮书：云计算已死，边缘计算当立-IEC-2019.3-133页.pdf

Edge intelligence®White Paper每日免费阅读行业报告1、每日星球内分享10+精品报告；2、不定时分享国际投行报告，脱水研报等；3、行业报告均为公开内容，版权归原作者所有，星球仅分享内部学习。扫描右侧二维码即刻加入【行业报告（免费） 】星球（此页只为更多需要行业报告的朋友提供便利，希望不会影响您的阅读，谢谢理解！）3The cloud is dead – long live the cloud!Driven by the internet of things (IoT), a new computing model – edge-cloud computing – is currently evolving, which involves extending data processing to the edge of a network in addition to computing in a cloud or a central data centre. Edge-cloud computing models operate both on premise and in public and private clouds, including via devices, base stations, edge servers, micro data centres and networks.Expansion of the IoT and digital transformation will generate entirely new businesses and markets, with both vendors and customers creating new demands on computing and networking infrastructures across all industries (automotive, aerospace, life safety, medical, entertainment and manufacturing, to name just a few).Edge intelligence (EI) is edge computing with machine learning (ML) and advanced networking capabilities. This means that several information technology (IT) and operational technology (OT) industries are moving closer towards the edge of the network so that aspects such as real-time networks, security capabilities to ensure cybersecurity, self-learning solutions and personalized/customized connectivity can be addressed.Container technology and ML are the leading technological responses to the demands of these new businesses and markets. Bringing these technologies to the edge, will fulfil the promise of EI.Likewise, fifth generation wireless technology (5G) is bringing together IT and telecommunications, e.g. by enabling data centres at the edge of networks as well as the possibility of implementing industry-specific networks enabled by virtualization and software-defined networking principles in a single environment. Most of the anticipated 5G applications are driven by the IoT.Based on a thorough review of such developments, this White Paper offers the following conclusions:§ Containerization will be important for EI, but no specific Standards exist in this area, although many open source initiatives have been developed, such as Docker and the Open Container Initiative (OCI).§ Common data models for edge computing node (ECN) communication are essential to the success of EI.§ Micro data centres will become more important, for a number of reasons, including the ability to provide low latency and to process large volumes of data, thereby avoiding their transportation to the cloud.§ 5G networks will provide data centres at the edge and the possibility to implement industry- specific networks enabled by virtualization and software-defined networking principles.§ The best user interface is no user interface. As IoT makes manual data input largely obsolete and ML and artificial intelligence (AI) take over decision-making, this becomes a reality.This White Paper formulates recommendations based on a review of use cases versus existing technology and Standards. Additionally, this White Paper suggests that all recommendations be demonstrated and supported by the use of a testbed in collaboration with the Industrial Internet Consortium (IIC) to complement Standards with open source implementations.Executive summary4Executive summarySpecifically, the present White Paper makes the following recommendations to industry:§ Prepare for disruption on business and commercial models.§ Utilize 5G Standards to facilitate edge computing and EI solutions.§ Include micro data centres in EI solution architecture, ideally employing containerization.§ Agree on a common approach to orchestration and lifecycle management to avoid market fragmentation.§ Agree on a common approach to ML (tools, model implementation) to avoid market fragmentation.It is also recommended that the IEC take a larger role in promoting the development of the software component of electrotechnical systems. The IEC is in a unique position to drive EI forward.Accordingly, this White Paper also outlines specific recommendations for the IEC Standardization management Board (SMB) in the areas of:§ Credibility and (decentralized) trust§ Self-organization, self-configuration and self-discovery§ Implementation of algorithms for MLThere already exist many standardization and consortium activities related to edge computing. This situation provides challenges with regard to optimizing edge computing standardization, but also opportunities to create a more positive standardization ecosystem that will support the needs of governments, industry and users.Finally, such an ecosystem should be one of collaboration across the spectrum of standards development organizations (SDOs) and consortia. Specifically, this White Paper recommends that the IEC collaborate with IIC to complement Standards with open source implementations and testbeds. These include covering horizontal, vertical and specialty Standards, as well as EI Standards.So how will the current techno...