DOI: 10.38007/978-1-80053-550-3

The world has entered a stage of in-depth development of digitalization and intelligence. Computing power and data scale are constantly expanding, and society's reliance on intelligent systems is continuously rising. Intelligent computing is gradually becoming a fundamental force in many industries. New computing methods and resource forms are constantly emerging, and the intelligent computing ecosystem is thus formed. This ecosystem is composed of various computing platforms, network facilities, terminal devices and data systems, presenting the characteristics of large scale, diverse types and rapid changes. Studying how to ensure the stable operation of these resources is a long-term task, and the importance of data security and privacy protection is also constantly increasing. 

The intelligent computing ecosystem relies on the integration of intelligent tasks, computing resources and data. The number of intelligent tasks is growing rapidly, and computing resources are distributed across cloud platforms, edge nodes, and various acceleration hardware. Resources are scattered, capabilities vary, and states change frequently, presenting an overall complex and active characteristic. The sources of data also show an expanding trend, extending from traditional business information to images, text, sensor readings, behavioral records, and cross-modal interaction content. The data forms vary significantly, the scale is constantly increasing, and the update speed is accelerating, presenting a multi-level, multi-domain, and dynamically generated data pattern. Building a technical system capable of managing these resources and data has become a key goal in supporting the entire intelligent ecosystem. 

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