Few doubt the incredible potential of 5G. It\u2019s set to unleash the power of digital across multiple sectors, making factories, warehouses, workplaces, hospitals, and homes more efficient, transportation faster and more convenient, and cities smarter.

On the consumer end too, 5G is likely to transform the user experience. Use cases like Cloud gaming for the millennials and immersive viewing for Bollywood lapping audience are likely to bring a reset in the Indian media and entertainment industry.

However, for all of these use cases to be implemented, there is a need for not only lower latency, higher bandwidth and speed as promised by 5G but also technologies supporting data on the Edge, process, and compute power on the fly and dynamic provisioning. Edge computing is a key enabler for some of these functionalities and a thoughtful combination of 5G+Edge can create significant incremental value.

The promise of 5G entails zillions of devices in a connected ecosystem generating exabytes of data. On current wireless networks, most data are moved to central data centers to be processed, which slows down the process. And while today most applications being used aren\u2019t really impacted, with the advent of emerging technologies such as autonomous vehicles and remote surgeries, any delay in AI being used could be problematic.

While stepping into the future to find the economic benefits is key, some of the near-term use cases like industrial automation will also require on-premise and near-premise Edge based platforms.

A 5G Edge network not only improves the performance by reducing the network bandwidth and latency requirement for data heavy applications, but also delivers significant savings as the data does not need to travel to far placed data centers for processing and is instead processed closer to the user\/application.

With the compute power moving to the cloud, 5G Edge also allows proliferation of COTS devices instead of complicated and expensive devices with compute and processing power. Further, the disaggregated approach of network performance makes it more fungible, scalable, and resilient.

With connectivity at the core, telecom operators are uniquely positioned to expand their service portfolio and integrate Edge computing with their network solutioning. As telecom operators are expanding their horizon outside connectivity, globally telecom operators can consider different roles:

• Provider of network Edge as a service: Telecom operator, having existing proximity to the end customers, could convert their existing point of presence to regional and local Edge zones. For this, telecom operators will have to transform their networks into cloud based, containerized network with dynamic orchestration, and SLA based API access.<\/li>
• Provider of infrastructure as a service: Telecom operators could also opt for combining compute and storage to their network and offer a bundled service of infrastructure as a service. The distributed network infrastructure with right level of provisioned AI, compute and storage can be positioned as platform enablers allowing third party vendors to host their platforms, solutions for end use cases.<\/li>
• Provider of platform as a service: Here the telecom operator builds horizontal capabilities by creating platforms around specified technologies like IoT, AI, advanced analytics. However, interoperability and standardization would be key to ensure that varied use case requirements are met.<\/li>
• Provider of software as a service: Lastly, the telecom operator has an opportunity to create end to end vertical capabilities including components of managed services (e.g., security, data analytics etc.) baked in to cater to specific industry use case.<\/li> <\/ul> Whichever path the telecom operator decides to take, it will have to weigh its options of building these capabilities inhouse or partnering with third parties in terms of its end objective of gaining speed to market or being self-sustainable. Globally, we have seen multiple telecom operators who have preferred partnership as a route to market where they have partnered with hyper scalers and technology partners to create comprehensive capabilities which has not only shortened their time to market but also reduced their initial investment cost in building the capabilities inhouse.
  
  While there is no doubt that deploying the 5G + Edge computing will come with its own challenges like investments in creating a distributed data center strategy including creation of regional and local Edge zones. Data sovereignty and privacy is another dimension that needs to be carefully evaluated as every endpoint and its associated Edge infrastructure become an extension of the cloud, resulting in an increase in overall complexity.
  
  However, the benefits of unleashing the true power of 5G outweigh some of these challenges and gives the impetus to telecom operators in investing in these capabilities and expanding beyond connectivity. With the massive push to digital, and emergence of use cases supporting massive machine to machine communication and mixed reality, the cost of being left behind is arguably greater.","blog_img":"","posted_date":"2022-04-27 15:08:17","modified_date":"2022-04-27 16:05:52","featured":"0","status":"Y","seo_title":"How 5G & Edge computing can create incremental value for telcos","seo_url":"5g-edge-computing-to-create-incremental-value","url":"\/\/www.iser-br.com\/tele-talk\/5g-edge-computing-to-create-incremental-value\/5242","url_seo":"5g-edge-computing-to-create-incremental-value"}">
  进化的沟通,通过模拟语音连接1 g建立移动连接;2 g增强语音能力提供数字语音服务质量;介绍了3 g数据;4 g交付更多的能力,打开新的领域数据用例;5克预计将改变游戏规则,预示着机器对机器通信的新领域。
  
  很少有人怀疑5 g的令人难以置信的潜力。它将释放数字跨多个部门的力量,使工厂、仓库、工作场所、医院、和家庭更有效率,城市交通更快更方便,更聪明。
  
  在消费端,5克可能会改变用户体验。用例像云游戏的千禧一代和身临其境观看宝莱坞研磨观众可能会带来重置在印度媒体和娱乐行业。
  
  然而,对于所有这些用例实现,不仅需要低延迟、高带宽和速度所承诺的5 g还边缘技术支持数据、动态过程,计算能力和动态配置。边缘计算这些功能的关键驱动因素,5 g +边缘的深思熟虑的组合可以创造显著的增量价值。
  
  5 g的承诺需要无数的设备在一个生态系统生成eb的数据连接。对当前无线网络,大多数数据都搬到中央数据中心处理,而减缓这一过程。虽然今天大多数应用程序使用并不影响,随着自主车辆等新兴技术和远程手术,人工智能正在使用中的任何延迟可能是有问题的。
  
  而步入未来找到经济效益是关键,近期的一些用例等工业自动化还需要内部和near-premise边缘的基础平台。
  
  5 g边缘网络不仅提高了性能通过减少网络带宽和延迟要求数据重应用,但也提供了重要的储蓄作为数据不需要前往远放置数据中心进行处理,而是更接近用户/应用程序处理。
  
  迁移到云计算的计算能力,5 g边缘还允许扩散COTS设备代替复杂和昂贵设备的计算和处理能力。此外,网络性能的分类方法使它更可替代的,可伸缩的,和弹性。
  
  与连接核心,电信运营商唯一能够扩大他们的服务组合和集成优势与网络的解析计算。随着电信运营商扩大地平线外连接,全球电信运营商可以考虑不同的角色:
  

  • 作为服务提供者的网络优势:电信运营商现有的接近最终客户,可以转换他们现有的点存在地区和地方优势区。为此,电信运营商必须将他们的网络转换为基于云,集装箱网络与动态编排和基于SLA的API访问。
  • 基础设施作为服务的提供者:电信运营商也可以选择相结合的计算和存储网络和基础设施作为服务提供打包服务。分布式网络基础设施和提供人工智能水平,计算和存储可以定位为平台推动者允许第三方供应商主机平台,解决方案用例结束。
  • 平台即服务提供者:这里的电信运营商构建水平能力通过创建平台在指定的物联网等技术,人工智能,先进的分析。然而,互操作性和标准将确保不同的关键用例需求得到满足。
  • 软件即服务的提供者:最后,电信运营商有机会创建端到端垂直管理服务的功能,包括组件(例如,安全性、数据分析等)的迎合特定行业的用例。

  电信运营商决定采取哪个路径,它将不得不权衡选择的这些功能自身的或与第三方合作的最终目标,加快市场或被维持。在全球范围内,我们看到了多个电信运营商们首选的合作路线的市场,他们与超级标量和技术合作伙伴创建全面的功能,不仅缩短上市时间还减少了初始投资成本在构建自身的能力。
  
  而毫无疑问,部署5 g +边缘计算将有它自己的挑战像创建一个分布式数据中心投资策略包括建立区域和当地的边缘地带。数据主权和隐私是另一个维度,需要仔细评估每个端点及其相关优势基础设施成为云的一个扩展,导致整体复杂性的增加。
  
  然而,释放5 g的真正威力的好处大于其中一些挑战,给电信运营商投资于这些功能的动力和海外扩张的连接。出现大规模推动数字,用例支持大规模的机对机通信,混合现实,留下可以说是更大的成本。

  免责声明:作者的观点仅和ETTelecom.com不一定订阅它。乐动体育1002乐动体育乐动娱乐招聘乐动娱乐招聘乐动体育1002乐动体育ETTelecom.com不得负责任何损害任何个人/组织直接或间接造成的。

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  5 g和数据中心