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ITU GSR 2024

ITU-T work programme

[2025-2028] : [SG 13] : [WP3/13]

[Work programme]
Work group: Q7/13 (Presentation Web page is available here)
Title: Network awareness and network intelligence including big data driven networking and human-like networking
Description: 1 Motivation Network awareness includes network service/application awareness, network traffic awareness, network situation awareness, network requirements awareness, network resource awareness and so on. Among them, deep packet inspection (DPI) is a main application/service awareness technology that is beneficial to network operators in many areas such as quality of service (QoS) assurance, network management and so on. In order to provide better service and make full use of the network resources, network operators and service providers need to sense the network timely and accurately. It is the task of network awareness technologies to sense the network timely and accurately. By combination with big data, artificial intelligence and machine learning related technologies, network awareness can be further enhanced to intelligent network-awareness. Based on intelligent network-awareness, operators can improve QoS and quality of experience (QoE) of the network, they can also make efficient use of network resource, reduce costs and capital investment. Intelligent network-awareness can also be the generic core technologies and common building blocks for some application technologies which are network intelligence enhanced and dependent on intelligent network awareness tightly. The aforementioned application technologies include big data driven networking (bDDN), human-like networking (HLN), etc. Network intelligence encompasses the data, technology, algorithms, and techniques used to collect, analyse and visualise network information. It should be emphasized that studies on big data and machine learning related technologies are out of scope for this Question. The following major Recommendations, in force at the time of approval of this Question, fall under its responsibility: ? ITU-T Y.2770, Y.2771, Y.2772, Y.2773, Y.2774, Y.2775 ? ITU-T Y.3650, Y.3651, Y.3652, Y.3653, Y.3654, Y.3655, Y.3656 ? ITU-T Y.3180, Y.3184, Y.3680 2 Study items Study items to be considered including, but are not limited to: ? What enhancements to existing Recommendations are needed to enable services/applications identification/awareness/visibility, to enable traffic and resource optimization based on deep packet inspection in future networks? ? What new Recommendations are needed to provide new mechanism, architecture for deep packet inspection in future networks from the perspective of emerging application context? ? What new Recommendations are needed to support functional requirements, functional architecture, mechanism and application scenarios of intelligent network-awareness in future networks from the perspective of emerging application context? ? What new Recommendations are needed to provide new mechanism for big data driven networking? ? What new Recommendations are needed to provide requirements, architecture and mechanism for human-like networking? ? What new Recommendations are needed for other application technologies based on intelligent network-awareness? 3 Tasks Tasks include, but are not limited to: ? Enhancements of ITU-T Y.2770, Y.2771, Y.2772, Y.2773, Y.2774, Y.2775 in future networks. ? Development of new Recommendations on new DPI requirements, architecture, mechanism and methods for future networks in the emerging application context. ? Development of new Recommendations on requirements, architecture, mechanism and methods related to intelligent network-awareness for future networks. ? Development of new Recommendations on requirements, architecture, mechanism and method related to intelligent network-awareness in the emerging application context. ? Development of new Recommendations on new mechanisms of big data driven networking. ? Development of new Recommendations on architecture, requirements and mechanism of human-like networking. ? Development of new Recommendations on other application technologies based on intelligent network-awareness. An up-to-date status of work under this Question is contained in the SG13 work programme: https://www.itu.int/ITU-T/workprog/wp_search.aspx?sp=18&q=7/13. 4 Relationships Questions: ? All big data related Questions ? All artificial intelligent and machine learning related Questions ? All future networks related Questions ? All SDN related Questions ? All OAM related Questions Study groups: ? All big data related study groups ? All artificial intelligence and machine learning related study groups ? All future networks related study groups ? All OAM related study groups Other bodies: ? Internet Engineering Taks Force (IETF) ? International Organization for Standardization (ISO) ? International Electrotechnical Commission (IEC) ? The 3rd Generation Partnership Project (3GPP) ? European Telecommunications Standards Institute (ETSI) Industry Specification Group (ISG) Network Function Virtualization (NFV) ? Institute of Electrical and Electronics Engineers (IEEE) WSIS Action Lines: ? C2, C3 Sustainable Development Goals: ? 9
Comment: Continuation of Q7/13
Rapporteur: Mr.JinyouDAI
Associate rapporteur: Mr.JinruiHAO