Contributed ArticleA convergence of geopolitical tensions and climate change concerns is ramping up the pressure for operators to become more efficient in everything they do and wherever they do it—from network cores to data centres and beyond.
Across the world, thoughts of service consolidation and alternative, modern deployment models are clearly gaining traction throughout the industry as decision-makers search for ways to improve efficiency with minimal disruption and incremental cost.
Indeed, in Heavy Reading’s 2023 5G global survey of network strategists, respondents’ top approach to reducing power consumption focused on moving as many functions as possible to a common infrastructure platform (52%). This was followed by reducing infrastructure footprints and increasing power efficiency with edge computing (45%), and consolidating functions and vendors for tighter energy management and cost efficiency (40%).
Commenting on the findings, Gabriel Brown, a principal analyst at Heavy Reading, notes that “disaggregation and multi-vendor by nature introduce some inefficiencies, so thinking about how to address this is clearly important.” He goes on to add that consolidating core workloads onto a common cloud platform appears to be “the most consequential move operators can make to reduce energy consumption in the 5G mobile core.” However, the overall spread in responses indicates that operators “will combine multiple approaches in their power reduction strategy.”
Cloud-Native to the Rescue?
In other recent study, Capgemini’s Research Institute Report—Networks on Cloud: A Clear Advantage—claims that almost half of telecom networks’ capacity will be totally cloud-native in the next three to five years.
The report also indicates that operators will spend $206 million annually on that cloud transformation over the next five years. Organisations getting in early on a shift to cloud-native are likely to realize the most value in terms of economics and environmental sustainability. For the latter, the research suggests that those embracing telco cloud is expected to reduce greenhouse gas emissions by 5% in the next three to five years. Telco cloud is also set to yield sustainability benefits from lower facility emissions (e.g., reduced physical hardware footprints, less power usage, auto-scaling of network on demand, and managing mobile towers’ power consumption using AI and machine learning).
This is why Cloud-Native Functions (CNF) will increasingly come into play. Or at least they should!
CNFs are software implementations of a function, or application, traditionally performed on a physical device.
Purpose-built for moving workloads to cloud-native architectures, the technology can eliminate telcos’ “heavy” legacy virtualization software layers, as well as automate and orchestrate operations for maximum efficiency. All while scaling their networks.
It also means they can combine multiple functions on a single platform, boosting performance while using less server capacity, less CPU cycles and, therefore, less energy. For example, those running 5G networks can migrate existing network functions to cloud-native versions of the same.
It is important to note that, with consolidated CNFs, a single command (or API call) can activate multiple network functions, such as domain name server (DNS), gateway-Internet firewall (GiFW) and carrier-grade network address translation (CGNAT). This unlocks a whole new world of flexibility, including scaling workloads up and down ‘on the fly’ whenever needed. An operator could, for example, use CNFs to quickly provide compute and network capacity for a major sports event and then take it down at the end of the tournament. A traditional approach of running functions on dedicated hardware can take several months to set up.
By contrast, a consolidated CNF platform can be quickly spun up and down as required and its power consumption is kept to a minimum. The principle is the same as when your TV or smartphone switches to energy saving mode when not in use.
