Abstract
The rapid development of mobile Internet and Internet of Things makes the future network face higher speed, lower delay, and higher reliability. Because this edge computing becomes the most likely network architecture to realize the vision of intelligent R&D and technological innovation, it has attracted wide attention. Edge computing can meet the high computing needs of mobile devices with limited resources by using computing‐intensive tasks from the mobile device open platform to nearby edge computing servers. This paper mainly studies the open platform of intelligent R&D and technology innovation management service based on edge computing, which can study the characteristics of edge computing more. The characteristics of edge computing will have a certain impact on the open platform strategy. This paper mainly uses the edge computing algorithm, model, edge computing time‐to‐time optimization open platform policy, platform function investigation experiment, platform module analysis, and other methods to study the open platform of intelligent R&D and technology innovation management service based on edge computing. This can better meet the actual application and improve the effect of the open platform which can better meet the different needs of the open platform. The results show that the number of users in the useful task open platform increases by 27.4% in the open platform of intelligent R&D and technology innovation management services based on edge computing. The platform can also meet the simulation of different scenes well, and the edge algorithm has some advantages in comparison with other algorithms.
Highlights
In November 2016, many technology companies led by Huawei jointly initiated the edge computing industry alliance, elaborating the functional design of the framework
Shi et al believe that the popularity of Internet of Things and the success of enriching cloud services have promoted the emergence of a new computing paradigm called edge computing, which requires processing data on the edge of the network
We identify internal factors that affect intelligent R&D and technological innovation defined by a medical information system, namely, electronic health records, and evaluate the results of the adoption of individuals and groups using the system
Summary
In November 2016, many technology companies led by Huawei jointly initiated the edge computing industry alliance, elaborating the functional design of the framework. Shi et al believe that the popularity of Internet of Things and the success of enriching cloud services have promoted the emergence of a new computing paradigm called edge computing, which requires processing data on the edge of the network. Since the concept of bitcoin was put forward by Satoshi Nakamoto and put into practice, Li et al believe that bitcoin has completely changed the world economy in many ways by introducing scattered point-topoint transactions These transactions do not require intermediary elements between traders, namely, banks; users can access their resources directly, while maintaining a comfortable Internet environment, but they lack numerical analysis content [3]. The innovation of this paper is to study the open platform of intelligent R&D and technology innovation management service based on edge computing by using the edge computing algorithm, model, edge computing open platform policy, platform function investigation experiment, platform module analysis, etc., and it analyzes all aspects of the open platform mode of management services and the overall system frame The research on frame design and special construction has certain scalability
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