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| 品牌 |
ABB |
型号 |
GJR2370800R0200 |
| 类型 |
DCS |
性能 |
即插即用 |
| 适用范围 |
工业 |
加工定制 |
否 |
| 是否进口 |
是 |
|
自动化服务生命周期管理旨在简化 CSP 的运营流程并提高效率。服务和资源编排在支持简单高效地创建和启动新服务以及在基本连接之上在运行时提供增值功能方面发挥着重要作用。
服务编排堆栈包括在复杂运营商环境中跨多种技术和业务领域管理服务的能力。它还可以以自动化的方式加入合作伙伴服务和相关的部署规则。这些合作伙伴服务用作 CSP 向企业客户提供的服务的服务创建过程中的构建块。还可以编排各种服务,包括网络连接、企业连接服务和应用程序,以及在 HCP 提供的云中编排它们的部署。
电信世界中 HCP 云基础设施的引入正以不同的速度逐渐发生,具体取决于各个 CSP 的业务目标。为了解决市场和技术情况,已将完整、合作伙伴和有限边缘 [1] 确定为进入市场的场景。在全边缘场景中,CSP 为电信工作负载、第三方和 OTT 工作负载运行基础设施。基础设施提供商可以是任何私有基础设施提供商。
在合作伙伴边缘场景中,HCP 为第三方和 OTT 工作负载运行基础设施,但它部署在 CSP 或企业场所。为第三方和 OTT 工作负载提供的基础架构专门用于由 CSP 控制的工作负载。电信工作负载的基础架构可以由 CSP 或 HCP 操作,部署在 CSP 或企业场所中,并且仅供 CSP 使用。
在有限的边缘场景中,HCP 为第三方和 OTT 工作负载运行基础设施。它可以部署在 CSP 或企业场所。HCP 将使用和控制为第三方和 OTT 工作负载提供的基础设施。电信工作负载的基础设施可以由 CSP 操作,如在全边缘部署场景中,或由 HCP 操作,部署在 CSP 场所或企业场所中,并仅供 CSP 使用。
这些场景并不是相互隔离的,我们已经可以看到同时发生的完整、合作伙伴和有限边缘变体,这导致了图 2中描绘的双栈架构。电信工作负载部署在私有电信云中,而企业和消费者应用程序部署在 HCP 边缘区域。在初始阶段,完整和合作伙伴边缘进入市场的场景都适用,端到端服务、应用程序的连接感知以及跨两个云堆栈的操作流程自动化对于满足服务要求至关重要。
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Automated service life-cycle management aims to simplify the CSP’s operational processes and increase efficiency. Service and resource orchestration plays an important role in enabling the simple and efficient creation and launch of new services, as well as providing value-added functionality in runtime on top of the basic connectivity.
The service orchestration stack includes capabilities to manage services across multiple technologies and business domains in complex operator environments. It also makes it possible to onboard partner services and associated deployment rules in an automated way. These partner services are used as building blocks in the service creation process of services offered by the CSP to enterprise customers. It is also possible to orchestrate various services including network connectivity, enterprise connectivity services and applications, along with orchestration of their deployments in HCP-provided clouds.
The introduction of HCP cloud infrastructure in the telecommunication world is happening gradually and at different speeds, depending on the business objectives of individual CSPs. To address the market and technology situations, full, partner and limited edge [1] have been identified as the go-to-market scenarios. In the full edge scenario, the CSP operates the infrastructure for telco workloads, third-party and over-the-top (OTT) workloads. The infrastructure provider can be any private infrastructure provider.
In the partner edge scenario, the HCP operates the infrastructure for third-party and OTT workloads, but it is deployed in the CSP or enterprise premises. The infrastructure provided for third-party and OTT workloads is used exclusively for workloads controlled by the CSP. The infrastructure for telco workloads can be operated by the CSP or the HCP, deployed in the CSP or in the enterprise premises and for the exclusive use of the CSP.
In the limited edge scenario, the HCP operates the infrastructure for third-party and OTT workloads. It can be deployed in the CSP or enterprise premises. The HCP will use and control the infrastructure provided for third-party and OTT workloads. The infrastructure for telco workloads can be operated by the CSP, as in the full edge deployment scenario, or operated by the HCP, deployed in the CSP premises or in the enterprise premises and for the exclusive use of the CSP.
These scenarios are not isolated from each other and we can already see the full, partner and limited edge variants happening at the same time, which has led to the dual-stack architecture depicted in Figure 2. Telecommunication workloads are deployed in a private telco cloud, while enterprise and consumer applications are deployed in HCP edge zones. In the initial phase, where both the full and partner edge go-to-market scenarios apply, the E2E services, the applications’ connectivity awareness, and the operational processes automation across the two cloud stacks are essential to fulfill the service requirements.