12/29/2022 0 Comments Fiwi classified![]() Operations and business support systems (OSS and BSS) are various, increasingly integrated, policy-driven autonomous systems supporting the key processes, and business models in the enterprises. They need to be trusted by the stakeholders, even while being highly autonomous and self-configuring. They orchestrate architectures, infrastructures, interfaces, policies, and service definitions. They resemble operating systems, and are usually hosted in clouds.ĭigital business models are often cloudified and formed as XaaS ( anything as a service) where X can be a platform, infrastructure, network, software, or anything else.ĭigital ecosystems are complete solutions and strategies for delivering digital services. ![]() Examples use cases are smart city, autonomous vehicles, and ultra-high resolution video streaming services. ![]() They support unified access and over-the-top (OTT) services for different types of users, and can be used for wholesale of connectivity and other applications.ĭigital platforms are universal marketplaces connecting digital producers with consumers. The telecommunication industry is developing new solutions including :Īpplication programming interfaces (APIs) are offering a standardized, controlled, trusted, and secure access to telecommunication services. They are now the backbone of the digital economy, and are envisioned to be enabler of the new business models. Thus, the broadband networks have become much more than just a telecommunication infrastructure. The future networks will be completely autonomous, that is, self-organizing, self-healing, self-secure, and self-optimizing. For instance, software-defined networks (SDN), network function virtualization (NFV), and network analytics provide unprecedented flexibility in configuring the communication services while optimizing the utilization of network resources. Today’s hardware components provide sufficient computing and storage enabling to abstract many processes entirely in software. The digitalization will also require adoption of new policies and regulatory models. This transformation is already bringing profound changes to how telecommunication services are delivered and managed along with changes in the corporate organizations and cultures. The digital transformation of telecommunication industry alone will likely create $2 trillion new business opportunities and values for the industry as well as the society. The chapter concludes with a discussion on machine learning, big data and the associated metrics. After outlining the broadband metrics which have been standardized and the metrics for measuring Internet traffic, the most commonly used metrics for broadband networks are surveyed in five categories: energy and power metrics, quality of service, quality of experience, security metrics, and robustness and resilience metrics. The demand-side and supply-side metrics including the key metrics of broadband speed and broadband availability are touched on. Reviewing first the metrics for computing systems, websites and digital platforms, the chapter focus then shifts to the most important technical and business metrics which are used for broadband networks. ![]() The broadband networks being a key component of the digital ecosystems are also an enabler to many other digital technologies and services. Considering common metrics for broadband networks and related technologies, this chapter offers insights into what metrics are available, and also suggests active areas of research. Complete metrics frameworks are already emerging whereas majority of the new metrics are being proposed in technical papers. In a transition to automated digital management of broadband networks, communication service providers must look for new metrics to monitor these networks. ![]()
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