Many challenges stand in the way of successful 5G deployment but it offers mobile providers the exciting promise of slicing the network to accommodate a wide range of applications with very different reliability and throughput requirements.Ĭiena’s recently unveiled Blue Planet Analytics ( BPA) assimilates the data from across your network and uses it to enable intelligent automation and operations. Eventually, policies will even update themselves. They can also use machine learning algorithms to dynamically adjust capacity and network response to security threats, in the process making VNFs self-healing and able to automatically restart, move or rebuild themselves. Operators can begin experimenting with machine learning by using analytics to proactively identify network events that could impact performance. Operators also can increase revenue by offering new services to customers or upselling them to other existing services. Operators can save on OpEx by using analytics to automate management and pinpoint the source of problems, and they can save on CapEx by virtualizing network functions and running them on commodity hardware and by using network capacity more efficiently. An early example is AT&T, which contributed code for a virtualized event streaming framework to the open source community via the Open Platform for NFV (OPNFV) project. Operators need a common event data model. “Basically you’re crowdsourcing all the data from different places to determine whether the service is being delivered as promised or if there is some issue,” he explains.Ĭiena to Showcase Analytics and Orchestration at TM Forum Live 2017 Lester Thomas, Chief Systems Architect, Vodafone Group, points out that every component that operators deploy generates data that can be streamed into a big data platform. There are two ways to use analytics: as a modern way of building closed control loops to autonomically configure and assure services, and optimize them by predicting problems and by analyzing massive amounts of network and customer data to improve customer experience and target customers with personalized services. This, combined with intent-based management that abstracts the complexity of the network at a high level and then uses customer intent and policy to manage it, is how service operators will automate service provisioning, configuration and assurance end to end. Instead, operators will have to agree to use the same information and data models along with APIs so that orchestrators in different domains can communicate. There won’t be a master service orchestrator with total visibility into other operators’ networks and operational and business support systems. ![]() Use intent-based management and open APIs In addition, Dawn Bushaus of TM Forum authored a Quick Insight Report (Data Analytics and AI: Key to End-To-End Management) that explored what operators need to do to enable network automation.īelow is an excerpt of content from one section of Dawn’s report, providing 7 steps operators can take to ensure they understand the role of analytics and how to create a successful management strategy to use them.ġ. So, how will they get there? Recently, we participated in a webinar hosted by TM Forum that covered this very topic. ![]() The goal of automating real-time decisions requires data analytics and AI-burgeoning grey areas that every operator needs to understand. So they’re turning to big data tools and analytics to analyze the vast amounts of information they’re accumulating in data lakes. At the top of the list is managing new data-intensive resources that underlie network functions virtualization (NFV), software-defined networking (SDN), cloud-based applications, and the coming wave of 5G technologies. Operators face a number of daunting challenges these days.
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