Ribbon Blog

IOWN the Photons

dedmonds — Mon, 16 Jun 2025 13:53:33 +0000

Several years ago, while surfing the web, the author of these lines discovered something unexpected… an organization with focus on optical networks he had not heard of before. Clear the stage for the IOWN (Innovative Optical and Wireless Networks) Global Forum, “a community of industry-leading organizations from across the globe working together to accelerate the innovation and adoption of photonics-based technologies.” Not bad, in this IT-driven age of xG, AI and Data Centers, to have someone publicly highlight the sometimes hidden value, and potential, of optical networking.

Years have passed, and the organization has grown beyond a more Japan-centric focus to become a global player, while expanding its expertise beyond networking. At this year’s 25^thanniversary meeting in Stockholm, where yours truly had the honor of introducing Ribbon as a member, IOWN made an impressive demonstration of both achievements and vision.

At first glance, IOWN’s mission is somewhat difficult to grasp, as many topics sound familiar to long term members of the industry. What’s special about IOWN is their “bigger picture” concept. The value is not in the partially well-known ingredients; it’s in the final meal. IOWN is pushing for nothing less than a network infrastructure with the ideal balance of power consumption and bandwidth efficiency, the APN (All Photonics Network), seamlessly interworking with attached systems like distributed computers. These networks would be ready for the new AI-powered age, and built to ensure that the earth doesn’t catch on fire due to the energy required to keep the machines “thinking.”

IOWN’s recommended architecture is based on three building blocks plus the APN (All Photonics Network)-C, which hosts the controller function. Starting at the customer end, the APN-T (Transceiver), is the endpoint and wavelength generator. The next block in the chain is the APN-G, a type of gateway that communicates with the connected APN-Ts, handles wavelength path services and aggregates optical paths from the APN-T to the trunk network. And finally, the APN-I, an interchange for wavelength switching at the midpoint of an optical path, owns functions such as wavelength cross-connection, amplification, and adaptation between APN-G and APN-I as well as APN-I and APN-I… an Optical Cross Connect (OXC), for building meshed networks.

Does it mean the OXC is back, and that we can pull out our 25 year-old slide decks to finally start selling? Hold your horses, as is often in the case in telecommunications, reality is standing in the way. Existing networks can’t be upgraded by “just” replacing a DXC (Digital Cross Connect) with an OXC. Most amplifiers have to be replaced as well, technologies for keeping a network stable while switching dozens of lightpaths have to be in place, and processing data with granularity finer than a wavelength needs to be done differently. Looks like this road to power savings is quite a long one. Is building brand new all photonic networks the way?

Indeed, that would be a viable option, once the required amps and OXCs actually exist. The former is realistic and at least partially achieved, the latter strongly depends on vendor business cases based on real market demand. Besides hardware, the underlying idea of true end-end-lightpaths requires true end-end management, also covering customer owned routers and computers, or at least their transceivers. Doable? Absolutely. Acceptable? Time will tell… so far, customers don’t like the idea of anybody else managing even the smallest part of their devices. But as the endpoint for a wavelength path, the APN-T can easily be a transponder in front of the customer device, it’s possible to avoid this debate and still enjoy both savings and benefits within the rest of the network.

Optical Circuit Switching (OCS) was also mentioned.in multiple presentations at the recent OCP25 EMEA Summit, this time for applications within Data Centers. Although no groundbreaking developments were highlighted, a well-known chip manufacturer indicated that some of the developments surrounding SiPho (Silicon Photonics) based solutions were interesting, and that Co Packaged Optics (CPO) combined with OCS eliminating an electrical switching stage cuts total network power by 40% or even more But firstly, they want to see the technology mature, and the cost level is an issue as well.

IOWN’s vision appears to be in sync with market dynamics, a good start for real life adoption. The positive effects of photonic networks are widely understood and accepted, and the industry is moving in this direction. Despite the challenges, we are much closer to making all photonic networks come true than in the dot-com days. Optical modules have shrunk dramatically and gained capabilities no one dared to dream of in the hype phase. IPoDWDM applications are saving both space and power and are adaptable enough to cope with the effects of a dynamic photonic network. IOWN rightly acknowledges that just proving that it works is insufficient, Proof-of-Value (PoV) and Proof-of-Business (PoB) cases are crucial for successful rollouts. Eventually, and this should come as no surprise, the market is going to decide how fast we will get close to what some people might call the ideal network. Now it’s about turning concepts, use cases and PoCs into real life action.

Verizon Discusses Network Transformation at Ribbon Insights

dedmonds — Tue, 10 Jun 2025 19:21:02 +0000

In a recent presentation, Verizon’s Steve Owens discussed their strategic initiative to accelerate the decommissioning (decom) of TDM switches, underlining the significance of repurposing legacy infrastructures in favor of modern architectures. Ribbon’s guest Steve Owens kicks things off with a light-hearted reference to "Sanford and Son” showing how relics can be transformed into gold through effective management and innovation. Steve tells Verizon’s decommissioning story that is driven by: reduced power consumption, cost savings, regulatory compliance concerning emissions, and technical space recovery. Check out Steve’s presentation, it’s a gem and challenges others to consider this beyond just expense savings!

Key Insights

Power Reduction and Cost Savings

The dual focus on reducing power consumption and minimizing operational costs is crucial for Verizon's strategic rationale in TDM switch decom. These savings not only improve the bottom line but also align with corporate environmental responsibilities, directly addressing local emission regulations in cities like New York and Boston.

Technical Space Recovery

As Verizon deals with legacy infrastructures, the recovery of technical space becomes a monetary aspect of the switch decom process. By utilizing freed-up technical space, the company can avoid expenditures related to cooling and space outfitting, a significant factor in their long-term financial planning.

New Architectural Framework

The shift to a ribbon architecture provides Verizon with a competitive edge—not only addressing current operational requirements but also offering a scalable solution for the growing demands of their network. This adaptable architecture is designed to be cost-effective while ensuring reliability for upgrading services.

Long-Term Reliability Objectives

Modernizing the network includes a focus on ensuring that the new architecture meets long-term objectives for network reliability. Concurrently, the integration of legacy services into the newer framework facilitates a smoother transition that ensures customer satisfaction.

Impact of Process Changes

The shift away from combining fiber upgrades with switch decommissioning represents a fundamental operational change, allowing Verizon to better allocate resources and accelerate decom projects. This strategic pivot has already exhibited tangible benefits in deployment timelines.

Inter-Company Collaboration

The partnership between Verizon and Ribbon exemplifies how collaborative synergies can significantly enhance the execution and efficiency of decom strategies. This approach showcases best practices in vendor relations that can be modeled by other companies in the telecommunications sector.

Decommissioning Urgency

As many TDM switches are on the verge of becoming obsolete, Verizon highlights the increasing urgency to develop actionable decom plans. The need for proactive management of legacy networks is critical to maintaining operational integrity and customer service levels, serving as a blueprint for the telecommunications industry’s future.

In summary, Verizon's strategic move towards TDM switch decommissioning encapsulates a multi-dimensional approach that integrates innovation, collaboration, and urgent action in managing legacy systems—a common challenge facing many companies in the telecommunications industry today.

How Managed Optical Fiber Networks (MOFN) Are Powering the AI-Driven Future of Data Center Interconnect (DCI)

dedmonds — Wed, 21 May 2025 16:40:33 +0000

As artificial intelligence (AI) rapidly evolves from a research novelty to an enterprise essential, one often-overlooked component is under intense pressure: the network. AI’s hunger for data and real-time performance is forcing enterprises, cloud providers, and data center operators to rethink how they interconnect data centers.

Enter Managed Optical Fiber Networks (MOFN) — a modern solution for modern DCI challenges.

What is Data Center Interconnect (DCI)?

Data Center Interconnect refers to the technologies and methodologies that connect multiple data centers to enable seamless data transfer and communication. DCI is vital for improving performance, reliability, and scalability, making it critical for organizations leveraging AI.

Key Benefits of DCI

Enhanced Performance:
DCI allows for high-speed connections between data centers, crucial for applications reliant on rapid data access.
Scalability:
Organizations can expand their data center resources while ensuring efficient resource utilization without bottlenecks.
Redundancy and Reliability:
By connecting multiple data centers, organizations can ensure redundancy in their operations, minimizing the risk of downtime.

Why DCI is Now a Strategic Priority

AI training and inference workloads generate massive data flows between enterprise sources and hyperscale AI training centers. This “AI middle mile” — the network path between enterprise data lakes and AI compute clusters — is fast becoming a bottleneck.

To support this surge, DCI must evolve to deliver ultra-high bandwidth (100G, 400G, and even 800G), low latency, and resilient connectivity between data centers. Optical fiber networks are essential, but deploying them at scale is complex, capital-intensive, and logistically difficult — especially when entering new markets or edge locations.

MOFN: A Game-Changer in DCI Strategy

What is a Managed Optical Fiber Network (MOFN)?

A Managed Optical Fiber Network (MOFN) is a next-generation solution that delivers dedicated high-capacity fiber connectivity between data centers. Unlike traditional private fiber builds, MOFN is owned and operated by a service provider, while still offering exclusive, secure network infrastructure to the customer. This model combines the control and performance of a private network with the ease and speed of a managed service.

Key Benefits of MOFN:

Dedicated Fiber and Equipment: Ensures predictable performance and secure data transfers.
Service Provider Management: Offloads the complexity of running an optical network.
Real-Time Visibility: Access to dashboards and tools for performance monitoring.
Flexible Scaling: Easily upgrade bandwidth using pluggable optics as AI demand grows.

Three Core DCI Deployment Models

1. Private Build

Ideal for hyperscalers and large enterprises with internal expertise. These networks are fully owned and controlled, offering maximum flexibility and security. However, they require high upfront investment and significant operational commitment.

2. Managed Wave

A service-provider-operated option offering quick deployment and low initial costs. It’s optimal for low- to moderate-bandwidth sites but scales poorly in cost and control as bandwidth needs grow.

3. MOFN (Managed Optical Fiber Network)

The sweet spot for many organizations. MOFN delivers dedicated infrastructure like a private build but is managed by a service provider. It balances cost, control, and scalability, making it ideal for organizations navigating AI-driven growth.

The AI Impact: Bandwidth and Beyond

AI is not just another application; it’s an inflection point similar to the advent of the internet. Training large language models demands enormous amounts of data — data that must travel between geographically dispersed centers. This drives the need for:

High-capacity links (400G, 800G, 1.2T+)
Edge connectivity for latency-sensitive inference
Resilient and secure interconnects

MOFN solutions are purpose-built to meet these demands, supporting coherent optics, network slicing, and spectrum-as-a-service models that provide dedicated capacity within shared fiber.

Final Thoughts: Building Smarter, Faster, and at Scale

Whether you're a hyperscaler expanding to new regions, an enterprise integrating AI-driven workflows, or a provider supporting next-gen digital experiences — your DCI strategy must evolve. MOFN enables:faster deployment, greater network control & future-ready scalability.

With expert consultation, integrated tooling, and flexible design options, MOFN helps you prepare your infrastructure for the AI revolution.

Want to learn more?

Explore how Ribbon Communications can help you model the right DCI strategy for your needs. Whether it’s private build, MOFN, or a hybrid deployment — our financial tools and partner ecosystem will guide you every step of the way.

Data Center Interconnect Solutions

Robocalls Aren’t Going Away - But the FCC Is Taking Aim at a Big Vulnerability

dedmonds — Wed, 14 May 2025 16:29:20 +0000

If you've ever received a call that looked like it was from your bank or, worse, a family member, but turned out to be a scam, you're not alone. These spoofed calls continue to be a huge headache, not just for everyday people but for businesses, phone carriers, and regulators too.

The good news? The FCC is stepping up again.

Last week, the Federal Communications Commission released a new Notice of Proposed Rulemaking (NPRM) to close a serious gap in our defense against robocalls: non-IP networks.

Wait, What’s a Non-IP Network, and Why Does It Matter?

Most modern phone calls travel over IP (Internet Protocol) networks. These networks support tools like STIR/SHAKEN, which verify that a call is actually coming from the number that shows up on your screen. It’s like a digital stamp of authenticity.

But here’s the catch: not all parts of the phone network have made the jump to IP. Some still use older, non-IP tech (think legacy phone lines), and those segments strip out that authentication info. That’s where robocallers can still sneak in and spoof numbers undetected.

So, What Is the FCC Doing About Non-IP Infrastructure?

The FCC is now proposing that any voice provider still using non-IP infrastructure must either upgrade to IP or implement a non-IP caller ID authentication framework in their non-IP networks.

In short: no more free passes.

This is a big deal. Until now, many providers with non-IP networks have been exempt from implementing caller ID verification. If the proposed rules move forward, those days are numbered.

What Are the Solutions for Caller ID Verification?

The industry’s standards body, Alliance for Telecommunications Industry Solutions (ATIS), has developed three frameworks for authenticating caller ID on non-IP networks:

In-Band Authentication (ATIS-1000095)
Kind of like sneaking a note into the phone call itself. This method sends authentication data along with the call but requires agreements between providers to work.
Out-of-Band Multiple STI-CPS (ATIS-1000096)
Think of this as a side channel - the call goes one way, and the authentication info goes another (via the internet). Providers can pick it up from shared servers.
Out-of-Band Agreed STI-CPS (ATIS-1000105)
A more coordinated version where everyone in the call chain agrees to use the same server for authentication data.

Each option has its pros and cons, and the FCC is asking the public and industry experts to weigh in.

Why It Matters to Providers

For telecom providers still relying on non-IP networks, this proposal is a wake-up call. You may need to:

Upgrade your network infrastructure to IP (if you haven’t already), or
Adopt one of the approved non-IP frameworks, which could involve new software, vendor agreements, and even bilateral coordination with other carriers.

It’s a push toward accountability and toward a more secure phone system that consumers can actually trust.

What Happens Next?

The FCC is collecting feedback from providers, advocacy groups, and other interested parties. Comments can be submitted over the next few months. Afterward, new requirements may be finalized and a deadline established.

Mitigate Robocalls with Ribbon’s STIR/SHAKEN Solutions

Ribbon is an active participant in the STIR/SHAKEN ecosystem and is closely following this topic. We are committed to ensuring our customers can meet their regulatory requirements.

Service providers can choose between two Ribbon STIR/SHAKEN solutions: a hosted STIR/SHAKEN as a Service (S/SaaS) where Ribbon takes care of all the STIR/SHAKEN authentication, signing, verification, and certificate management services. Or they can choose the Ribbon Secure Telephone Identity (STI) solution that is deployed by service providers in their network – this solution encompasses all the components that are integral to, and required for, caller identity authentication, signing, verification, and certificate management.

Remedy your robocall situation with STIR/SHAKEN and satisfy your subscribers. Learn which Ribbon solution is right for you.

STIR/SHAKEN Solutions

Powering MNO’s 5G Future - A Collaborative Vision

dedmonds — Thu, 24 Apr 2025 20:27:01 +0000

Most Mobile Network Operators (MNOs) prioritized the deployment of 5G RAN infrastructure for both data and voice. Refarming 3G radio spectrum, implementing network slicing, adopting cloud native architectures, and driving automation are key for mobile networks. This blog will explore these ideas and show how Ribbon’s solutions are focused on this accelerated adoption.

Why Moving On from 3G is Key for 5G Success

Mobile network operators are shutting down their 3G networks. 3G shutdown enables the reallocation of valuable 3G spectrum to 5G and eliminates the costs of running legacy infrastructure. AT&T recently pointed out that retaining older 3G technology requires a lot of resources and reduces the efficiency and capacity of newer 5G networks.

By repurposing resources and simplifying the network, MNOs can:

Accelerate and enhance 4G/5G rollout: reallocating spectrum strengthens the current 4G LTE network, and as resources become available for 5G networks, it offers even better speeds and capacity.
Foster innovation: concentrating on one modern network allows MNOs to create new 5G services rather than maintaining outdated systems.

This perspective is consistent with Ribbon’s vision of developing efficient and adaptable networks. Ribbon's solutions are designed to enhance VoLTE capabilities on 4G networks and to prepare for future voice services (VoNR) on 5G networks.

Enhancing User Experiences: The Role of Network Slicing

MNOs recognize the future potential of network slicing. It’s a key piece of the 5G architecture, enabling mobile operators to set up multiple virtual networks for specific services and applications. This allows MNOs to create value-added solutions for specific vertical markets. Operators hope to unlock new business models and enhance user experiences to both drive incremental revenue and lower churn. Consider the possibilities:

Dedicated slices for critical industries or business needs: ensuring reliable and quick connections for applications like self-driving cars or automated factories.
Enhanced mobile broadband slices: offering increased bandwidth and reduced delay, suitable for virtual reality or high-definition streaming.
Massive IoT slices: Efficiently connect many low-power devices for innovative new systems like smart city applications or environmental monitoring.

Ribbon’s advanced 5G core solutions are built to embrace network slicing. Our adaptable solutions enable MNOs to set up and manage network slices, ensuring the required Quality of Service (QoS) and Service Level Agreements (SLAs) for various applications. Our expertise in IP Multimedia Subsystem (IMS) integration is crucial, delivering seamless real-time communication services over these virtual networks.

Cloud Native and Automation Benefits for Wireless Networks

Mobile Network Operators (MNOs) emphasize the importance of cloud native solutions and automation to manage the increasing complexity of wireless networks today. Transitioning to a 5G Standalone (SA) core, with its virtual network functions, requires focusing on cloud native solutions.

Cloud native designs offer several benefits:

Scalability and agility: Kubernetes orchestration helps to adjust network resources to meet demand. Elastic scaling means resources only scale up when additional capacity is required and scale down during idle periods. A GitOps-based operational framework makes it exponentially faster to roll out new software and services, accelerating time to market.
Cost Efficiency: In addition to more cost-effective auto scaling, Kubernetes dramatically simplifies patch implementations and upgrades, reducing the need for manual oversight and lowering operational expenses.
Microservices boost network reliability with distributed designs and automated recovery. Pricey N+1 designs to ensure availability can be replaced with networks that automatically restart failed containers, replace them, or cease uses unresponsive ones.

MNOs need automation to simplify network operations such as setup, configuration, monitoring, and problem-solving. Automation helps to:

Reduce Operational Complexity: As networks scale and more assets are virtual, automation is required to monitor complex network environments.
Improve Efficiency: Handle repetitive tasks so engineering teams can concentrate on developing new features and creative solutions.
Ensure Service Quality: Find and fix network issues quickly, reducing service interruptions.

The Ribbon cloud native IMS solution and mobile analytics platform focus on automation. Our approach uses dynamic autoscaling and integrates within larger orchestration frameworks, enabling MNOs to automate key network functions and improve operational efficiency and security.

Collaborating for 5G Success

As a trusted partner, Ribbon Communications delivers innovative, 3GPP-compliant solutions to streamline the winding down of 3G and the rise of 5G. By focusing on advanced IMS, adopting network slicing, and providing cloud native, automated solutions, we help MNOs build a strong, flexible, secure, and future-ready network. This network supports innovation and offers its customers outstanding experience. We look forward to shaping the future of mobile communications together.

To understand how Ribbon is assisting with the transition to 5G, check out a video featuring Paul Clough from Ribbon. In this video, he explains the 3G sunset process and how Ribbon’s IMS solution plays a role in making the switch smooth and efficient.

How does observability enhance operations in cloud native voice networks?

dedmonds — Thu, 24 Apr 2025 15:59:29 +0000

The 17th century saw the onset of the Scientific Revolution. It was a time of knowledge explosion. During this time, scientific practices were still evolving, with no universally accepted protocols for data collection and analysis. Individuals documented any observation, resulting in the collection of massive amounts of information, but much of it was hard to leverage to draw useful conclusions. The development of the scientific method provided a common approach to capturing and analyzing data.

Today, we are encountering a similar issue with the evolution of network management and cloud native networks. These modern networks have evolved to report every operational event. There is an overwhelming amount of fine-grained, event-driven data, making it difficult to analyze efficiently. Simultaneously, there is insufficient “important” data being acted on in the network due to a lack of consistent mechanisms to capture and analyze it. Today, network administrators are turning to observability and analytics, much as their predecessors turned to the Scientific Methods for data collection and analysis.

Moving from probes to microservices

Today’s telcos are sitting on mountains of data but are unable to mine it effectively due to limitations in their technology. Putting more probes in the network isn’t the answer, especially as the amount of data in the network grows exponentially. Instead, the answer lies in observability and analytics. Observability is comprehending the internal state of a complex system by gathering and analyzing its data to enable proactive measures to ensure reliability and efficient troubleshooting.

In a cloud native architecture, telcos can embed observability into their cloud native functions (CNFs) as a microservice rather than building bespoke sentries around those network functions using physical probes. The cloud native environment differs significantly from traditional settings, requiring more of an internal east-to-west observability within the server rather than the external north-to-south observability of probes. Which isn’t to say that physical probes don’t have a part to play in network observability, but it’s a diminished role that focuses mostly on network traffic after it leaves the server.

Metrics and statistics collected from microservices are dynamic and ephemeral in nature. The traditional approach of sampling every 5 or 15 minutes isn’t granular enough to catch anomalies occurring in real-time. Let’s take a look at an example – how do you troubleshoot a call processed by an SBC instance that no longer exists? You can capture these fleeting anomalies based on accurate data by continuous sampling via telemetry and analysis in a cloud native environment. A cloud native SBC is comprised of multiple microservices that can be started, stopped, and moved across servers or clusters during their lifetime. Observability functions provide the infrastructure to collect and categorize the data, while analytics enables telcos to drill down into the data and troubleshoot the call even though the SBC instance no longer exists.

What are the benefits of cloud native observability and analytics?

All observability tools need to be able to scale up and down, which is where a cloud native architecture enters the picture. With a cloud native solution, you build and implement it once and then can scale it up or down as needed.

Deploying a cloud native observability and analytics solution has clear advantages for telcos. For mobile networks transitioning from 4G to 5G, a cloud native solution provides deeper insights into how 4G and 5G mobile calls are handled in the network. Another advantage is better detection of fraud patterns and cyberattacks (e.g., telephony denial-of-service) due to the improved ability to collect and analyze data.

Ribbon Analytics platform was originally built on a cloud native platform years before cloud native was an accepted standard. In fact, because many of Ribbon’s early customers were still using virtual machines, we often had to provide a Kubernetes architecture alongside our solution. The advantage to being ahead of the curve is that our solution now runs seamlessly in a hybrid virtual/cloud environment.

Ribbon Analytics Platform

At Ribbon, we created a cloud native analytics platform that intelligently collects data from a variety of network elements to improve network observability. Our solution lets you decide what to capture and how to handle that data, e.g., setting triggers for data capture based on specific network events. In this way, you can focus on the five percent of the data that is meaningful to the event (e.g., a service failure) instead of sifting through 100 percent of your data.

Included in Ribbon’s platform is a set of tools that focus on specific aspects of observability. Muse Network Planner, for example, collects and analyzes data for network capacity planning. Our Discover tool analyzes the voice network’s quality of experience. Most Probable Cause leverages machine learning algorithms to search through large data sets and improve network troubleshooting.

Ribbon Analytics Platform

Embracing Cloud Native Observability for Future-Proof Operations

The industry is rapidly advancing towards a future-proof goal of dynamic scalability, ensuring ease and efficiency in operations through cloud native observability. This approach enables swift failure detection and remedial actions, significantly reducing Mean Time to Recover (MTTR) and delivering high-quality service to consumers. Ribbon’s cloud architecture integrates this intelligence, eliminating the need for third-party software. The observability layer seamlessly feeds data to Telco backends for deeper analysis.

With cloud native solutions, the industry is closer than ever to achieving a resilient architecture. Leading telcos are leveraging machine learning algorithms to enhance fraud detection, troubleshooting, and anomaly detection. They are developing best practices around network analytics based on robust data science and creating open architectures that facilitate the integration of artificial intelligence to optimize network operations.

Ribbon’s cloud native observability empowers enterprises and service providers to transition to smoother, more efficient, and faster operations, akin to web-scale companies. If you’re ready to gain a competitive edge with this transition, we invite you to connect with us.

How DCI to the Edge Will Be Important for AI

dedmonds — Tue, 08 Apr 2025 14:59:38 +0000

Artificial intelligence (AI) is revolutionizing the way we address real-world challenges, from fraud detection and customer service optimization to groundbreaking healthcare research and treatment. At the core of these advancements lies robust data center infrastructure. To establish a robust foundation for AI, selecting the appropriate type of data center interconnection for your AI workloads is essential—whether you're training an AI model, deploying it for inference at the edge, or managing data throughout the AI lifecycle. This blog will analyze the key insights from the recent webinar led by industry experts Mitch Simcoe and Filipe Correia, focusing on the significant role of DCI in the realm of AI services.

Understanding DCI and Its Importance

What is Data Center Interconnect (DCI)?

Key Benefits of DCI

Enhanced Performance: DCI allows for high-speed connections between data centers, crucial for applications reliant on rapid data access.
Scalability: Organizations can expand their data center resources while ensuring efficient resource utilization without bottlenecks.
Redundancy and Reliability: By connecting multiple data centers, organizations can ensure redundancy in their operations, minimizing the risk of downtime.

DCI: The Backbone of AI Infrastructure

In the journey to enable AI, data center operators—particularly hyperscalers—have constructed extensive GPU clusters. These clusters are crucial for performing the heavy computational tasks required in AI training and inference. The growth in demand for optical components, particularly within data centers, has surged. The expenditure in this sector is expected to double, reflecting the urgent need for advanced connectivity solutions as data centers scale their operations. As demand continues to grow, the traditional big metro data center model is shifting. New sites in regions with affordable real estate and energy availability—like Omaha and Atlanta—are emerging as strategically advantageous locations for deploying data centers.

Edge Infrastructure and Capitalizing on DCI

Many companies today leverage existing Central Offices (COs) and their established infrastructure for Edge Computing. This practical approach maximizes space, minimizes power costs, and accommodates fiber infrastructure necessary for advanced AI applications without overwhelming the existing capacity. With increasing competition and expanding needs, the edge of the network will play an increasingly pivotal role in delivering AI initiatives. Thus, continuous investment in infrastructure that supports low-latency connections is necessary for sustaining optimal performance.

The transformative power of AI, combined with effective DCI implementation, is shaping the future of network operations. Bridging data across centralized locations to edge deployments stands at the forefront of delivering streamlined AI-driven services. As organizations continue to explore and leverage these technologies, understanding the foundational elements discussed in this webinar will be vital for businesses aiming to capitalize on the shifting dynamics of data interconnectivity and AI growth.

Accelerate Your Network Automation with Muse Automation Platform

dedmonds — Tue, 04 Mar 2025 21:06:42 +0000

In today’s fast-paced digital landscape, network automation has become a vital tool for service providers seeking to enhance efficiency, reduce operational costs, and improve customer satisfaction. Muse, a platform developed by Ribbon Communications, stands at the forefront of this transformation. This blog post summarizes how Muse leverages low-code platforms to streamline and automate network operations to drive profitability in IP Optical Networks.

For an in-depth view, please click below to download the Muse whitepaper.

Download Muse Whitepaper

The Importance of Network Automation

Network automation is the application of technology to configure and control network operations with minimal human intervention. A study by Analysys Mason shows that automating network operations can reduce operating costs by up to 56% and increase revenues by 10% due to faster service activation.

Automation can assist service providers in addressing profitability challenges throughout the network operations lifecycle. It can optimize the use of capex, reduce operating costs including reducing human errors, speed up time to revenues, increase network availability, and elevate customer satisfaction. The table below gives some examples of automation

Operations Area	Benefits
Network Planning and Engineering	Synchronize network and offline information Continuously monitor and optimize resource use Update equipment and software rapidly and accurately Ultimately achieve closed loop planning and network updates
Service Delivery and Assurance	Design and test new services Conduct closed-loop service provisioning Ensure services meet SLAs Prioritize service restoration Perform bulk service moves.
Network Health and Maintenance	Continuously monitor network health indicators, detect, and where possible address impending problems Pinpoint the cause of hard failures and intermittent problems Reconfigure the network upon failures to maintain service availability

Low-Code Platforms: Revolutionizing IP Network Automation

Despite these clear benefits, many service providers face challenges in implementing automation due to the complexity and costs associated with new software and processes. Traditional software development methods often require extensive coding skills and professional services, making it difficult for network operations personnel to implement automation independently.

However, low-code platforms address these challenges effectively, with multiple advantages:

User-Friendly Interfaces: Low-code platforms provide intuitive graphical interfaces, enabling users with minimal coding experience to develop applications.
Rapid Development: These platforms facilitate faster time to market by allowing users to create, test, and deploy applications quickly.
Cost-Effective Solutions: By reducing the need for professional services, low-code platforms lower development costs significantly.
Empowerment of Citizen Developers: Network operations staff can become citizen developers, allowing for automation based on their priorities without extensive software development projects.

What is the Muse Automation Platform?

Ribbon is a leader in implementing low-code platforms, incorporating them as a fundamental part of our Muse Multilayer Automation Platform (MAP). Muse offers a comprehensive suite of applications for network control, analysis, design, and planning, and significantly simplifies the introduction of network automation within IP Optical Networks. Muse low-code platforms operate seamlessly across all network layers, L0 to L3, and can be initiated from external systems via APIs.

Muse applies low-code capabilities across the entire operations lifecycle.

Workflow Automation – Service providers can implement automation at their own pace using tools to set execution triggers, define tasks, and manage workflows. Any operational sequence can be converted into an automated workflow. Crucially, these workflows can undergo comprehensive testing before activation and can incorporate pauses for human confirmation.

Muse Workflow Automation Screenshot

Service Creation - Muse offers a comprehensive catalog of pre-defined templates for L0-L1-L2-L3 services that enhance time-to-market efficiency, support the design of innovative new services, and minimize human errors by specifying all permissible service parameters and default values. Muse low-code tools allow operators to modify existing service templates and create new ones from scratch.

Muse Service Template Screenshot Highlighting L2VPN Services

Network Design - Muse low-code node design templates enable operators to model and incorporate 3^rd-party network equipment in a network design, including DWDM platforms, OTN switches, IP routers, and microwave radio gear. All nodes and equipment can be integrated into the network control topology and services and can be managed via dedicated southbound interfaces.

Network Insights (Analytics) – Muse Network Insights transforms raw data into actionable information, assisting network operators to effectively operate and optimize their networks. Data sets encompass physical, logical, and service inventories, services performance, and alarms. Using Muse's low-code tools, operators can customize how data is presented in dashboards and reports.

A notable example of collaborative automated processes is Muse's implementation of automated closed-loop service provisioning. This approach allows service providers to expedite revenue generation, improve customer satisfaction, and reduce costs.

Muse Closed-Loop Automated Service Provisioning

Exploring Muse in More Detail

Low-code platforms present a transformative opportunity for network operations staff, allowing them to automate and streamline processes without specialized skills. Muse Multilayer Automation Platform is a leader in this domain, offering numerous benefits that empower service providers.

For more information about Muse and to see it in action, visit the following links:

Download Muse Whitepaper

Understanding Modern Warfare Communication Networks

dedmonds — Mon, 03 Mar 2025 22:16:08 +0000

In a world fraught with complex geopolitical tensions and conflicts, understanding the importance of defense communication networks is crucial. According to the Council on Foreign Relations’ Global Conflict Tracker, there are currently 32 active conflicts worldwide, with varying degrees of intensity and impact. Understanding the dynamics of these conflicts and how they influence military communication strategies is crucial for both defense professionals and civilians. This blog provides insights from a recent defense Webinar by Dekel Cohen, a telecom network architect at Ribbon, who discusses the implications of ongoing global conflicts on communication technologies, defense strategies, and the future of military operations.

The Importance and Evolution of Mission Critical Defense Networks

It goes without saying that communication between headquarters and troops in the battlefield is paramount for success. Historically, military communication relied heavily on radio, telephone lines, and face-to-face briefings (not to forget pigeons). These early systems were prone to failure, often disrupted by weather, distance, and interference (and trained hawks). The evolution of these networks was driven by innovation and necessity. The advent of digital technology transformed the landscape, allowing for faster, more secure communication.

The shift towards digital communication has enabled faster and more reliable information sharing among military units. Fiber optics replaced copper wires, providing greater bandwidth and reliability. Satellite technology enabled global coverage, ensuring that even the most remote locations could stay connected. But the goal remained the same: ensuring that critical information could be transmitted without failure, no matter the conditions.

In the modern era, mission critical communication networks have become more sophisticated than ever. They incorporate advanced encryption to protect sensitive information, redundancy to ensure continuous operation, and real-time monitoring to detect and resolve issues before they become critical. The integration of Voice over IP (VoIP) and unified communications has transformed the landscape of military operations as well.

The Role of Communication Networks in Modern Warfare

Executing Command and Control (C2) properly is the baseline of military operations, supporting it is the main task of dedicated defense communication networks. Over time, both C2 and the respective networks evolved, passing milestones such as C2I (Command, Control & Intelligence), C3I (Command, Control, Communications & Intelligence) to C4I, Command, Control, Communications, Computers, and Intelligence. They integrate various communication technologies to form a cohesive network that allows for real-time decision-making and efficient resource management on the battlefield.

What Challenges are Faced by Modern Military Communication Networks?

Creating a complete list of possible or potential challenges is virtually impossible, but a few are standing out. Firstly, also Mission Critical Defense Networks are facing the challenges of public networks. They need to support ever increasing bandwidth requirements, have to be always on and need to support all sorts of service requirements. But on top of that defense networks have to remain functional under all circumstances, in quickly changing, hostile environments.

Modern conflicts often involve asymmetric warfare, where state and non-state actors engage in unconventional tactics. This type of warfare presents unique challenges for communication networks, as they must adapt to rapidly changing battlefield conditions and the unpredictable nature of enemy tactics.

As military communication networks become increasingly digital, they also become more vulnerable to cyberattacks. Ensuring the security of these networks is paramount, as breaches can lead to significant operational setbacks. Implementing a zero-trust security model is essential in protecting military communication networks. This approach requires continuous verification of all users and devices attempting to access the network, significantly reducing the risk of unauthorized access and data breaches. Current C4I networks are upgraded to support C5I (command, control, communications, computers, cyber and intelligence) and even C6ISR (command, control, communications, computers, cyber-defense and combat systems and intelligence, surveillance, and reconnaissance).

Latest Innovations in Military Communication Technology

Like the public telecommunication market, also military communication technology keeps on evolving. A big-ticket item is the concept of multi-domain warfare, which integrates various operational domains, such as land, air, sea, and cyberspace, into a unified strategy. This approach necessitates sophisticated communication networks that can facilitate collaboration among different military branches and allied forces. Real-time data sharing is a critical component of multi-domain warfare. Advances in cloud computing and edge technology enable military units to access and share information quickly, allowing for informed decision-making in high-pressure situations.

Modern tools, such as low-cost video conferencing and mobile applications, have revolutionized tactical military communications. These tools allow for seamless collaboration and real time information sharing among commanders, soldiers, and support staff, regardless of their physical location. And last, but definitely not least, Artificial intelligence (AI) plays an increasingly important role in enhancing military communication networks. AI-driven analytics can provide insights into operational effectiveness, assist in threat detection, and optimize communication processes.

Future of Communication Networks in Warfare

The landscape of military communication is rapidly evolving, driven by emerging technologies that promise to reshape strategies and operations. Future trends in military communication include advancements in satellite communication, 5G networks, and the Internet of Things (IoT). These technologies will enhance connectivity, speed, and real-time data sharing in tactical environments. The integration of artificial intelligence, blockchain, and advanced encryption methods will redefine communication protocols, ensuring secure information transfer even in hostile environments. Automation can enhance network resilience by quickly identifying and mitigating issues, ensuring that communication remains uninterrupted during critical operations.

Cybersecurity will become paramount, with the implementation of zero-trust security models to protect sensitive data and communication systems from cyber threats. And finally, the importance of designing resilient networks that can withstand interference and attacks, ensuring interoperability across military services and with allies, can’t be overestimated

Conclusion

The evolution of communication networks in modern warfare reflects a complex interplay of technological advancements, changing conflict dynamics, and the increasing importance of cybersecurity. Overall, the future of communication networks in warfare will be characterized by enhanced security, real-time data sharing, and interoperability, driven by cutting-edge technologies and innovative strategies.

As threats evolve, so too must the systems designed to combat them. Collaboration between defense contractors, military organizations, and technology companies will be essential in driving innovation and maintaining a competitive edge. By embracing innovation and prioritizing resilience, the defense sector can ensure that mission critical defense communication networks support operational success in an ever-changing landscape.

A Guide to Retiring SDH & TDM Networks

dedmonds — Fri, 07 Feb 2025 17:16:22 +0000

The telecommunications industry is witnessing a significant transformation as operators realize the urgent need to retire their legacy Synchronous Digital Hierarchy (SDH) and TDM networks. With the advances of packet networks, this migration is not just a necessary transition but a strategic opportunity to enhance service offerings and operational efficiencies.

Service providers already have established packet networks to support IP and Ethernet services. However, most of these Service Providers are also running a TDM network in parallel to the packet network. This legacy TDM network enables them to continue to support customers with high-value legacy SDH services such as private line services or support legacy infrastructure like voice trunking.

For the reasons given below Service Providers now have an urgent need to migrate these services onto the packet network. This packet network must support the full range of services they currently support on the SDH network and the network must offer equivalent, or better, performance than the existing SDH network. The migration itself should be “invisible” to the end users, with no service disruption.

Why Migrate from TDM Services?

The truth is for many years there was no need to do this. In most cases, network operators built a new packet network to support these new IP and Ethernet services. The SDH network continued to support the circuit switched services, as it remained highly reliable and continued to meet all of the customer expectations.

We see a number of factors that have now changed; this is forcing Service Providers to migrate their SDH services away from their legacy SDH networks.

SDH vs Packet Networks: What is the Difference?

The SDH architecture, originally designed for circuit-switched services, lacks the flexibility needed for modern, data-intensive applications. With the rise of 5G, fiber-to-the-premise (FTTP), and IoT applications, there is a pressing need for networks that can support a myriad of IP-based services.

Maintaining legacy SDH networks has become increasingly expensive. Operators face rising maintenance costs, resource drain, and a loss of skilled personnel familiar with SDH technologies. This trend is compounded by the fact that many service providers have ceased offering new SDH-based services. Regulatory pressures are pushing industries to improve their carbon footprints.

Transitioning to advanced packet networks presents opportunities for significant reductions in power consumption and cooling requirements. Legacy SDH systems often lack the robust security features necessary to combat modern cyber threats. As strategic industries and service providers converge their IT and operational technologies, implementing advanced security protocols becomes paramount to safeguarding critical infrastructure against evolving threats.

What are the downsides of maintaining SDH services?

End of life and support for legacy SDH technology: Many SDH systems are reaching the end of their operational lifespan, with equipment often over 20 years old. As these systems age, the risk of outages increases, and sourcing spare parts becomes increasingly challenging due to the shutdown of vendors and component suppliers.
Cost Inefficiencies: Maintaining legacy SDH networks has become increasingly expensive. Operators face rising maintenance costs, resource drain, and a loss of skilled personnel familiar with SDH technologies. This trend is compounded by the fact that many service providers have ceased offering new SDH-based services.
Need for Modernization: The rapid evolution towards 5G, Gigabit Fiber to the Premise (FTTP), and a digitized cloud economy necessitates a shift to IP-based transport. Newer applications and devices predominantly rely on IP protocols, necessitating an infrastructure that can efficiently support these services.
Environmental Considerations: Regulatory pressures are pushing industries to improve their carbon footprints. Transitioning to advanced packet networks presents opportunities for significant reductions in power consumption and cooling requirements.

SDH to Packet Migration is an Opportunity

The migration from SDH to advanced packet networks represents a pivotal moment for telecommunications operators. While the challenges of transitioning from legacy systems are significant, the potential benefits—including enhanced service capabilities, increased revenue opportunities, and improved operational efficiencies—are compelling. By adopting a strategic approach to migration, investing in workforce development, and prioritizing security, operators can position themselves for success in the evolving digital landscape. The time has come to turn the lights out on SDH and embrace the opportunities presented by modern packet networks.

To learn more, access the full white paper below:

Mission Critical Networks Whitepaper

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Understanding Modern Warfare Communication Networks

The Importance and Evolution of Mission Critical Defense Networks

The Role of Communication Networks in Modern Warfare

What Challenges are Faced by Modern Military Communication Networks?

Latest Innovations in Military Communication Technology

Future of Communication Networks in Warfare

Conclusion

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