Computing-network intelligence: research progress and prospects

Although the computing power network (CPN) can connect via the Internet and flexibly schedule computing resources, it still lacks intelligence and flexibility in practical applications. To address the need for enhanced intelligence in computing power networks, the background and concept of the computing-network intelligence (CNI) were first introduced briefly. Then, followed by the proposal of a novel basic architecture and operational mechanism for CNI, intelligent resource allocation and service scheduling of multi-dimensional resources were achieved through key technologies such as computing-network perception, intelligent decision-making, computing power routing, automation, and self-optimization. Finally, future research directions and technical challenges were discussed. CNI is recognized as an inevitable trend for the future, effectively addressing issues such as complex operational processes, excessive reliance on human experience, and difficulties in adapting to dynamically changing environments.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
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article

Computing-network intelligence: research progress and prospects

SHILAP Revista de lepidopterología
Smart Grid Security and Resilience
article

Computing-network intelligence: research progress and prospects

article en

Abstract

Although the computing power network (CPN) can connect via the Internet and flexibly schedule computing resources, it still lacks intelligence and flexibility in practical applications. To address the need for enhanced intelligence in computing power networks, the background and concept of the computing-network intelligence (CNI) were first introduced briefly. Then, followed by the proposal of a novel basic architecture and operational mechanism for CNI, intelligent resource allocation and service scheduling of multi-dimensional resources were achieved through key technologies such as computing-network perception, intelligent decision-making, computing power routing, automation, and self-optimization. Finally, future research directions and technical challenges were discussed. CNI is recognized as an inevitable trend for the future, effectively addressing issues such as complex operational processes, excessive reliance on human experience, and difficulties in adapting to dynamically changing environments.

SHILAP Revista de lepidopterología
Peace, Justice and strong institutions
Openalex Percentile: Top 54%
Smart Grid Security and Resilience
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Computing-network intelligence: research progress and prospects · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS