2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications( AEECA) 2020
DOI: 10.1109/aeeca49918.2020.9213650
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Evolving from Traditional Systems to AIOps: Design, Implementation and Measurements

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Cited by 8 publications
(2 citation statements)
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“…Relying on cloud platforms and agile Scrum modeling, software quality is quantitatively controlled, and software development and iteration processes are agile and efficient. It enhances the readability and maintainability of code for the telecom's own employees and ensures security and stability from the design of the architecture and source code [12].  Centralized architecture and microservices design refer to the construction of the system according to business functions, achieving architectural decoupling, adopting microservices architecture within the center, separating modules with different business iteration cycles, and further maintaining the lightness of services [13].…”
Section: Eeice-2023mentioning
confidence: 99%
“…Relying on cloud platforms and agile Scrum modeling, software quality is quantitatively controlled, and software development and iteration processes are agile and efficient. It enhances the readability and maintainability of code for the telecom's own employees and ensures security and stability from the design of the architecture and source code [12].  Centralized architecture and microservices design refer to the construction of the system according to business functions, achieving architectural decoupling, adopting microservices architecture within the center, separating modules with different business iteration cycles, and further maintaining the lightness of services [13].…”
Section: Eeice-2023mentioning
confidence: 99%
“…Beginning from a continuous monitoring perspective, the M&O Framework should be able to automatically identify and predict errors, failures, or misconfigurations and trigger the appropriate dynamic reactions. 4) AI/ML and data-driven techniques adoption: The M&O Framework should support AI/ML collaborative platforms that allow the use of AI/ML [8] and the sharing of scalable data and trained models across the Device-Edge-Cloud continuum in multi-domain and multi-stakeholder scenarios. 5) Intent-based service planning and definition: Future 6G M&O systems should be able to support service definitions and specifications based on natural language or intents.…”
Section: Service Management and Orchestration Framework For 6g Mobile...mentioning
confidence: 99%