Addressing the challenges of the super-ecosystem


Hyperscale data centers are constantly challenged by increasing bandwidth, storage, computing power, and speed requirements. The rapid scalability that defines hyperscale computing can only be achieved through a combination of new hardware (horizontal scaling) and improved performance of existing data centers (vertical scaling).

The resource to build or expand hyperscale data centers is a challenge that grows stronger as scale increases. This can reduce fiber and system validation testing, exposing data centers to downstream failures and rework. Given the size and power requirements, Internet content providers, big data storage, and public cloud operators are facing increasing pressure to improve efficiency and reduce emissions.

Hyperscale and 5G

5G Changes the Definition of Hyperscale

5G entered the picture with a new blueprint for super-scale computing. Core functionality in the cloud continues to solidify the network architecture, but distributed edge computing and elaboration to support ultra-low latency 5G use cases move ultrawide out of the proverbial box. In other words, 5G big data stays central while instant data moves closer to the edge.

Hyper-Intelligent Hyperscale

Intelligence and automation are needed to build, test and confirm successfully 5G network chipset spread from one end to the other. A successful union between 5G and hyper-standards will require artificial intelligence, machine learning, and Network Function Virtualization (NFV) to deliver performance.

5G Hyperscale use cases

Advanced Driver Assistance Systems (ADAS)

Advanced driver assistance systems create a new paradigm of 5G-enabled transportation, delivering the required ultra-reliable, low-latency (URLLC) communication. Cutting-edge computing power is key to meeting ADAS latency requirements. Parameters including vehicle spacing, traffic light timing, pedestrian avoidance and fully enhanced signage can be automated.

Factory automation

The advantages of factory automation backed by high bandwidth and low latency 5G networks seem limitless. Robots, vehicles, facilities, and tools become smarter, safer, and more efficient while maintenance and calibration can be scheduled based on feedback from millions of embedded sensors using hyperscale cloud computing.

Related health

Telemedicine can provide a pathway into routine care for patients who are isolated, immobile, or asymptomatic. The wearable IoT market is set to explode with boosted capacity and reduced latency to 5G. Hyperscale data centers perfectly synchronized with edge computing sites are key to securely and reliably support these virtual healthcare applications.

Unmanned data centers

The use of the Internet of Things to monitor and control temperature and power functions in real time is in line with the shift towards (unmanned) data center operation, particularly at the edge. Physically removing humans also opens up new possibilities for super-scale data center locations, including frozen, inhospitable regions where land and natural sources of cooling are inexpensive and plentiful.

Solve Hyperscale Challenges

Harnessing and embracing new technology (including 5G) to test, monitor and simplify data center operations is the best way to turn current challenges into opportunities. Despite the focus on 5G RAN and hardware innovations, extensive testing of ultra-wideband data centers is also necessary to ensure the promise of 5G. A proactive approach to fiber RAN and Xhaul pre-deployment testing recognizes a new standard for automated cloud-based testing and diagnostics tools that help rather than hinder build schedules. This incremental approach to testing also includes simulation of live network traffic and AI-powered “self-healing” capabilities to prevent outages and unplanned repairs and updates.

About the author:

Sameh Yamani – Head of Technology, VIAVI Solutions


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