EnterpriseAI 2024年09月09日
New Data Shows GenAI Benefiting 5G SA Network Operations and Service Assurance
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随着5G独立组网(5GSA)的兴起,新的创新应用、服务和解决方案层出不穷。本文探讨了5GSA服务保障的三大关键需求:端到端服务编排、跨域可观测性以及跨客户可观测性。文章还分析了生成式AI(GenAI)在服务保障领域的影响,并展望了GenAI在未来几年将如何推动服务保障的演进。

🤔 **端到端服务编排:** 为了满足客户对新服务的各种需求,端到端服务编排至关重要。这包括从订单处理到服务设计,再到服务/资源配置和保障的整个过程。服务编排需要与保障系统进行交互,通知其有关新服务的信息,例如网络功能如何链接以及需要监控的关键绩效指标(KPI)和服务等级协议(SLA)。保障平台跟踪合规性并预测对KPI/SLA健康状况的潜在威胁。领先的供应商已经展示了基于AI运维(AIOps)的保障模型,可以根据KPI预测预期性能,并为指标提供预测的未来置信区间,例如设备级别和端到端下行吞吐量。

👀 **跨域可观测性:** Spirent的2024年市场驱动因素、见解和考量调查结果表明,服务保障市场的开发正在推动新的收入策略,为需要保证性能水平的关键任务服务提供支持。这对于5G移动核心网尤其重要,因为5GSA部署正在扎根,并突出了跨越企业IT和传统电信网络的虚拟化网络保障的重要性。随着越来越多的企业工作负载运行在网络边缘,5G正在日益模糊两者之间的界限。领先的供应商开始展示其提供横向和纵向保障的能力,例如通过查明服务问题根源到云基础设施中的底层资源问题。

🤝 **跨客户可观测性:** 近年来,网络弹性不断提高,例如通过虚拟化和自动化的采用。除了为新的5GSA服务做准备之外,这些改进还使可观测性能够转向服务保障和客户体验。服务保障需要来自网络和各种其他来源的数据,例如测试测量、天气模式和客户情绪。AI和机器学习(ML)模型正被用来处理不断增长的数据量,并实施高级功能,如异常检测、预测和自动根本原因分析。领先的电信运营商现在开始展示将网络中断和性能下降直接与服务和客户体验障碍相关联的能力,预计这种趋势将在未来几年得到合作伙伴的支持而得到加强。

🤖 **生成式AI对服务保障的影响:** GenAI正在以多种方式积极影响IT运营。根据TM Forum的一项调查,客户体验是早期领跑者,87%的受访者报告称GenAI对客户体验产生了积极影响。紧随其后的是,85%的受访者报告称GenAI在网络运营方面具有巨大潜力。具体而言,GenAI正在与数字助理功能集成,数字助理功能正在迅速成为服务保障解决方案的关键接口。

🔮 **未来展望:** 展望2024年之后,GenAI基于服务保障(和其他)数据对网络做出贡献的能力仍然是讨论的主题。在未来几年,它很可能提供简单的代码和脚本生成功能,使对网络的实时更改能够更迅速地进行。它生成文本的能力还可以让它管理和更新与网络中部署的保障相关的文档,甚至可能自动生成帮助文件,例如,企业从电信运营商获取保障服务。此外,GenAI可能会对运营商和企业运营团队如何与他们的可观测性工具进行交互产生重大影响,包括基于GenAI的智能助手、用户个性化UI和工作流程以及替代的交互方式,例如语音驱动的命令。

The rise of 5G standalone (5G SA) continues its ascension as the gateway to new innovative applications, services and solutions through open APIs, differentiated connectivity and service-based architecture.

According to the Global System for Mobile Communications Association (GSMA), of the 261 commercial 5G services available today, 47 are provided by 5G SA networks, and 89 are planned for deployment in the near term. As such, 5G SA is clearly one of the most important IT advancements in recent years. However, to sustain its advancement, three key business needs are emerging:

    Assurance as part of AIOps service orchestration

The importance of end-to-end service orchestration processes that fulfil a customer’s requirement for a new service is critical. This encompasses order handling through service design, service/resource provisioning and assurance.

The service orchestration needs to interact with the assurance system to notify it about the new service, for example, how network functions are chained together, and the KQIs/SLAs to be monitored. The assurance platform tracks compliance and forecasts potential threats to KQIs/SLAs health. Leading vendors are already demonstrating AIOps assurance models that can forecast expected performance against KQIs with projected future confidence bands for metrics, such as device-level and end-to-end downlink throughput.

    The need for observability – within domains, across domains and across vertical stacks

Recent findings from Spirent’s 2024 Market Drivers, Insights and Considerations survey confirms that development in the service assurance market is fueling new revenue strategies for mission-critical services requiring guaranteed performance levels. This is particularly relevant for 5G mobile cores, as 5G SA deployments take root, and highlights the importance of assurance of virtualized networks that span both enterprise IT and traditional telco networks. As more and more enterprise workloads run on the network edge, 5G is increasingly blurring the line between the two.

Leading vendors are starting to demonstrate their ability to provide assurance both horizontally and vertically, for example, by pinpointing the root cause of service issues to underlying resource issues in the cloud infrastructure.

    The need for observability – across customers

The last few years have seen continued improvement in network resilience, e.g. through the adoption of virtualization and automation. Along with preparations for new 5G SA services, these improvements have enabled observability focus to move towards service assurance and customer experience. Data from the network and a range of other sources e.g., test measurements, weather patterns and customer sentiment, is needed in service assurance. AI & ML models are being leveraged to deal with the increasing volume of data and to implement advanced capabilities like anomaly detection, prediction and automated root cause analysis. Leading telcos are now starting to demonstrate the ability to correlate network outages and degradations directly to service and customer experience impediments, and it is expected that this trend will continue to be enhanced, with the support of partners, in the coming years.

Initial Impacts of Generative AI

GenAI is now positively impacting IT operations in a myriad of ways. Not surprisingly, customer experience is the early leader in the clubhouse, according to a survey from TM Forum that shows 87% of respondents reporting GenAI positively impacting customer experience.

Close behind, 85% of respondents reported high potential for GenAI to impact network operations. Specifically, GenAI is being integrated with digital assistant capabilities that are rapidly ascending as a key interface for service assurance solutions.

Crystal Ball Time

Looking beyond 2024, Gen AI’s ability to contribute to the network, based on service assurance (and other) data, is still a subject of discussion. In the next few years, it will most likely provide simple code and script generation capabilities, allowing real-time changes to the network to be made more swiftly. Its ability to generate text may also allow it to manage and update documentation related to assurance deployed in the network – perhaps even automatically generating help files for, say, an enterprise taking assurance services from the telco. In addition, GenAI will likely have a significant impact on how operator and enterprise operations teams interact with their observability tools, including GenAI-based smart assistants, user persona customized UIs and workflows, and alternative means of interaction e.g., voice driven commands.

Key Developments to Monitor

Two key emerging areas of GenAI’s impact on service assurance that warrant close attention in 2025:

Demonstrations of complex self-healing capabilities

For telcos, the prevalence of 5G SA and related innovative applications, services and solutions is translating to increasing challenges in supporting these dynamic networks with the potential of concurrent issues across domains and across the technology stack. Simple self-healing capabilities have been available for many years. However, we have yet to see much demonstration of more advanced capabilities enabling complex functionality.

The expectation is the creation of multiple nested closed loops which poll in near-real-time, either fixing issues immediately or requesting that orchestrators deploy the next-best configuration, either in terms of technical compliance or cost-effectiveness e.g., in the case of a fibre cut or hardware failure requiring replacement. To become reality, this requires active assurance using AIOps models, time-series databases and storage/monitoring in a distributed architecture to support massive amounts of data from multiple domains.

A push to ensure that service assurance data gets to the right destination

For now, meeting enterprise customer requirements around new services will require telcos to integrate their data and operations across diverse and complex ecosystems. Delivering the right data, a mix of assurance, inventory and external third-party data, to the right people and processes, at the right time, will provide new visibility and automations to support these new services.

Interested in learning more? Reach me at ftravers@vitria.com or (1 514 797 3077 and check out VIA AIOps here.

 

 

 

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5GSA 服务保障 AI运维 生成式AI 可观测性
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