A glossary for the terms and types of WAN technologies

Network Management, Network Security

Article | July 17, 2023

Although the cause is as yet unknown, this breach is likely to have the same culprit as most large scale data breaches that have occurred in recent memory, through a simple misconfiguration of a server or shared repository. As the sheer size, scale, and footprint of global technology vendors like Microsoft, Facebook, Google, and so on continues to grow, so too does the opportunity for simple errors to make their way into some infrastructure configurations that can then be exploited.

5G

Article | September 28, 2023

5G trends are shaping the future of various technologies, from the Internet of Things to Virtual Reality. Learn more about the top trends in 5G to stay ahead of the competition in this sector. Contents 1 The Value of 5G for Businesses 2 5G Trends to Watch in 2023 2.1 Shift to Standalone 5G 2.2 Edge Computing for IoT 2.3 Adoption of Private 5G Networks 2.4 General Availability of 5G 2.5 Partnerships for Rapid Deployments 3 Conclusion 1 The Value of 5G for Businesses The fifth-generation network technology, or 5G, promises to revolutionize the way businesses communicate and operate. It offers lower latency, faster data transfer speeds, more robust security, and new and enhanced experiences. These capabilities enable 5G to support high-quality video conferencing, real-time collaboration, immersive virtual experiences, and more. By investing in 5G, businesses can stay competitive and meet the evolving needs of their employees and customers. With the growing adoption and use cases of this technology, keeping up with the technology trends in 5G is essential for staying ahead in today's business landscape. 2 5G Trends to Watch in 2023 2.1 Shift to Standalone 5G The rapid deployment of 5G across the world has been made possible due to the existence of an already-established 4G infrastructure. This has allowed operators to concentrate on developing the radio access network components while relying on 4G networks as a failsafe. This approach has enabled operators to deploy 5G networks at a faster pace, thereby allowing the benefits of this technology trend to reach a wider audience. The integration of a 5G core and radio forms the backbone of 5G infrastructure, enabling the 5G stand-alone network to achieve its full potential. Wireless providers have been actively promoting the key features of 5G, such as ultra-low latency and complete network slicing, which are exclusively available through the stand-alone version of this advanced technology. By utilizing this emerging technology, businesses can unlock an entirely new level of performance, allowing them to deliver innovative and immersive services to their end-users. Stand-alone 5G is also a necessity for certain unique use cases, and many 5G trends in 2023 will rely on its capabilities. It is essential for businesses to understand the benefits of this advanced technology and adopt it to remain competitive in the ever-evolving digital landscape. 2.2 Edge Computing for IoT The convergence of 5G technology and IoT is transforming how businesses operate across industry verticals. This 5G trend enables edge computing for the IoT by providing low-latency and high-bandwidth connectivity. With 5G, data can be transmitted and processed at the edge of the network, closer to the source of the data, rather than being sent to a central data center for processing. While extensive IoT fleets can operate on a 4G network, a 5G network will improve upon those capabilities with massive multiple-input, multiple output capabilities, enabling an increased number of devices to connect with the cell tower. This is especially useful in IIoT, where a large number of IoT devices are present within a small area, which requires this level of connectivity. The low latency and high bandwidth offered by 5G infrastructure also support innovative IoT solutions, such as integrating artificial intelligence, by enabling real-time processing of data and faster response times. Edge computing allows IoT devices to perform complex processing tasks and make decisions locally, rather than relying on a centralized cloud server. Businesses that operate in industries that require real-time processing will especially benefit from the digital transformation through 5G. 2.3 Adoption of Private 5G Networks Private wireless networks are suitable for many industrial applications, and the market for private 5G networks is set to expand rapidly. Private 5G networks offer greater cybersecurity, control, and reliability, making them ideal for mission-critical applications that require high levels of security and privacy. This is one of the key 5G trends because it is applicable to industries such as manufacturing, healthcare, and finance, where IoT devices collect and share sensitive data that requires greater cybersecurity. Businesses can also utilize private 5G networks to benefit from higher bandwidth, lower latency, and greater flexibility compared to public networks. Private 5G networks can be customized and tailored to meet the specific requirements of each application, making them ideal for specialized functions. As more enterprises look to benefit from network-intensive technologies such as artificial intelligence, virtual reality, and big data, the demand for private wireless networks will continue to rise. Network operators are also more willing to offer private 5G networks because they represent a new revenue stream and a growth opportunity while also allowing them to provide a more personalized service to their customers. 2.4 General Availability of 5G The 5G trends have moved towards access to 5G across the world, with 5G now available in 95 countries and reaching to more than 1.2 billion people. 5G networks are becoming more widespread in 2023, and as a result, many 5G trends and technologies are expected to emerge. Furthermore, 5G has become standard across all premium devices and many mid-range ones, making it an attractive option for consumers. For businesses, this means a whole new world of possibilities. 5G networks offer faster speeds, higher bandwidth, and lower latency, enabling businesses to offer more innovative products and services. With the increased availability of 5G, businesses can develop and deploy emerging technologies like artificial intelligence and machine learning, augmented reality, and virtual reality. Remote work and related use cases will also rise in popularity as 5G becomes more common. However, the distribution of 5G networks differs by region. 5G trends indicate that urban populations will likely be the first beneficiaries of public 5G rollouts and will benefit the most from 5G capabilities such as network densification and massive MIMO. With the deployment of 5G small cells for connectivity, 5G networks will support new use cases and faster, more reliable connectivity for the general public, especially in urban areas. 2.5 Partnerships for Rapid Deployments By connecting disjointed B2B and B2C networks with ecosystems, service providers can become service enablers, working with businesses, consumers, and even competitors to create unique 5G offerings. Digital transformation is possible through new approaches to partnerships, through which service providers manage commoditization pressures and a hyper-competitive market. Partnerships also provide businesses with access to industry skill sets that are in high demand, such as cloud, cybersecurity, and automation. By partnering with players who are already experts, cellular network providers offer specialized solutions to their customers that they may not have been able to provide otherwise. Hosted labs also help to speed ecosystem validation of use cases and new technology, ensuring that solutions are effective and efficient. Furthermore, partnerships enable service providers to create products with global scale, as demonstrated by SAP, IBM, ServiceNow, and Deutsche Telekom, which have collaborated to create global connectivity offerings ranging from 5G to software-defined networks. In the race to increase revenue and control costs in the 5G industry, collaborating with industry experts and integrating solutions will become one of the key 5G technology trends. Through collaboration, service providers can offer unique solutions to their customers, access necessary industry skill sets, and create products with global scale. These partnerships are necessary for businesses to remain competitive in an ever-changing market. 3 Conclusion The ongoing rollout of 5G networks is set to transform businesses across all industries, bringing faster speeds, lower latency, and the ability to connect more devices than ever before. As technology continues to evolve, businesses need to stay up-to-date with the future trends in 5G in order to take advantage of its full potential. The growing demand for low latency and massive connectivity due to new use cases such as edge computing and the IoT is driving the growth of 5G networks. These trends will enable businesses to create new products and services, increase efficiency and productivity, and ultimately transform the way they operate. As 5G networks continue to mature, businesses that invest in this technology will have a competitive advantage over those that do not. They will be able to deliver faster, more reliable services to customers, streamline operations, and reduce costs. With the right approach, organizations can capitalize on the latest trends in 5G and unlock new opportunities for growth and innovation in the years to come.

5G

Article | May 18, 2023

Applications of AI/ML Modern businesses are adopting Artificial Intelligence (AI) that encompasses disciplines like machine learning (ML), natural language processing (NLP), evolutionary computation, etc., to increase their productivity and management capabilities. Companies like Qualcomm are using AI and machine learning to improve their customer experience. “Across many industries, we are currently experiencing the creation of intelligent machines that is using AI to simulate smart behavior.” -Dr. Vinesh Sukumar, Senior Director- Head of AI/ML Product Management at Qualcomm, ( in an interview with Media7) The application of machine learning in networking is swiftly taking shape. However, as the problems in modern computer networks are getting tedious to handle, AI tools are being introduced to hard-carry their smooth functioning. Let’s take a look at how network complexity impacts businesses: Difference in Network Parameters Different client devices like laptops, smartphones, CCTV cameras, etc., are connected to a single network. However, their requirements and parameters are different. Therefore, the IT team of the business needs to meet them without compromising the functionality and security of the network. Users Prefer Wireless Networks Wireless networks are more complex than wired ones. They perform dynamically depending on the number of users, applications, and other variables. Impact of Cloud Computing Most applications are now cloud-based, and such a network has multiple data entry points and requires more support. User Experience Deciphering root cause analysis, finding correlation and solutions becomes tedious without an AI/ML model. Complex patterns remain unanalyzed, and this creates a vacuum between the customer and the business. What Does ML Bring to the Table? Machine learning applications in networking correlate to solving four types of network problems: clustering, extraction, regression, and classification. For classification and regression, ML clusters similar data and creates a gap between data groups. It then successfully maps a new set of data to a pre-set continuously valued output. As for extraction, it easily establishes a statistical relationship between the data it analyzes. Machine learning applications in networking encompass the following: Automation and Cognitive Computing ML enables automation in data processing by eliminating the human error factor and constantly improving with time. It analyzes data, improves the productivity, security, and health of the network. Cognitive computing allows processing diverse data sets, detecting and finding root causes and common traits within the system. Network Monitoring & Security Network monitoring is used to solve problems in a large dataset by deciphering the hidden pattern in the data. It then predicts the outcome for clustered data, malware attacks, or impending network failure. It recognizes impending threats in time and sends out warnings. ML uses anomaly-based intrusion, misuse-based intrusion, or hybrid intrusion to prevent misuse, modification, unauthorized access, or malfunction. Traffic Prediction, Classification, and Routing Network traffic prediction is important to handle any mishaps proactively. Network analysis in machine learning is done by using Time Series Forecasting (TSF). By using a regression model solution, TSF finds a correlation between the traffic volume in the future and the traffic previously observed. Traffic classification ensures Quality of Service (QoS), planning ahead for capacity, security, performance analysis, etc. It helps with proper resource utilization by pinpointing unnecessary traffic in a critical application. Factors like cost-effectiveness, link utilization, operational capabilities, and policies are also considered by the ML model. Congestion Control ML models control the number of packets that enter a network to ensure that the network is stable, fairly utilize resources, and follow queue management employed for congestion control. Efficiently Managing Resources ML efficiently manages network resources like the CPU, frequency, switches, memory, routers, etc., by using analytical decision-making. ML Learning Curve ML models learn in the following ways: Pitfalls Like any other technology, machine learning application in networking comes with pitfalls and limitations. Here are a few: Data Quality The efficiency of an ML model is based on the quality, quantity, and diversity of data it processes so it can deduce patterns or identify root causes. Most ML models use simplistic synthetic data for training, validation, and performance. The same cannot be said about practical settings because the data comes from different applications and services and is more complex. Feasibility There are scalability and feasibility issues because each network and application is different. Moreover, there are no set standards for uniformity for implementation which makes it hard to set benchmarks or best practices. Control over autonomic networks is distributed and remains limited based on the vendor’s specific devices. Predictive Analysis and Its Cost Network analysis and machine learning prediction require additional accurate and effective monitoring investments. Moreover, fault management may have some potholes as there may be a scarcity of normal fault data. High FPR (False Positive Rates) Anomaly detection by ML in networking has not created enough buzz in the industry because it generates high FPRs during operations. Also, no detailed anomaly report is generated, so no anomaly history log can be maintained. Striking a Balance ML requires time to learn and mitigate issues. It is difficult to identify, in advance, how complex the ML’s approach will be. Striking a balance between the performance and computational cost is difficult. Deciphering comprehensive evaluation metrics is also a tedious task. No Theoretical Model There is no theoretical model, in turn, a unified theory, for ML in networking, so each network may have to be learned separately. The current machine learning applications in networking are made keeping in mind certain applications. Over time, more research to tailor ML for certain networks needs to be done. Cross-domain experts who understand both ML and networking are also rare. Solutions Software Defined Networking (SDN) CISCO helped PwC Italy set up a secure network at their new twenty-eight-floor tower with the help of their SD-Access product. PwC wanted a secure, robust network with increased Wi-Fi and wired connectivity for their 3000 employees by streamlining network operations. “We needed a robust and highly reliable wireless network infrastructure that’s as advanced as the tower itself.” -Simone Demaria,Network Architect and Infrastructure Manager at PwC Italy By applying Software Defined Network (SDN), IT personnel can remotely govern network policies in real-time through open interfaces, so traffic engineering is easily possible. SDN also contributes to network virtualization. SDN supports the upcoming 5G ecosystem. When combined with NFV and VNF, SDN can revolutionize networking. Going Beyond Traffic Volume & Prediction To tackle the limitations that TSF-based traffic prediction models have, leveraging features beyond traffic prediction and concentrating on traffic interpolation and sampling could be viable. Research is ongoing on this possibility. Summing It Up As the influx of data keeps on increasing, the complexity of networks will increase in tandem. For successfully implementing ML for streamlining networking, the ML approaches we are aware of today need to be upgraded to accommodate multi-layer networks and multi-tenancy so autonomic networking can be a reality. FAQs How Can ML Help in Making Networking Smarter? ML can streamline the network by automation, threat detection, and improving its performance. How Complex Is Integrating ML into Networking? The complexity depends on the type of network you are integrating it into. What to Keep in Mind Before Using Ml in Networking? 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Article | February 12, 2021

With the emergence of new technologies, the networking field is transforming rapidly. The epicenter of networking has shifted to clouds from datacenters. Similarly, the focus of networking has also moved towards mobile devices. In the upcoming years, tech trends will hugely impact the way a business operates and bring the rise of Industry 4.0. Top Networking Tech Trends 1. 5G and WI-FI 6 Undoubtedly, the deployment of next-generation wireless networking will be around the corner. In the arena of mobile devices, 5G is set to rewrite the new technological possibilities. It will uncover the true power of augmented reality and IoT. On the other hand, the next journey of the WI-FI Standard - WI-FI 6 or 802.11ax will become the step for a non-stop innovative world. It will add density, flexibility, scalability, and efficiency for increasing the internet speed of multiple connected devices. That will in return improve the working capabilities of businesses. 2. SD-WAN As the name suggested, SD-WAN is the software-defined approach for managing WANs. It can lower operating costs while amplifying the usage of resources in multiple deployments. It increases the security level for applications and enables admin to use bandwidth efficiently. It will become the standard format for wide area networks and will help in connecting public cloud resources and branch offices. 3. Secure Access Service Edge (SASE) SASE is a new networking technology that converges functions of different security and network solutions into one global cloud service. It is an architectural alteration of networking and security that supports IT to offer prompt, holistic, and versatile service to the digital business. It amplifies the security postures, improves access performance, and diminishes operational complexity. It helps organizations to develop new products faster and respond to business needs or changes. 4. IoT/Edge Networking In comparison to traditional cloud computing, edge computing is the idea to bring data and computers much closer to the end-users. It reduces the need for long-distance communication among client and server, and lessen the cost of bandwidth. It will remain to achieve drift in companies while they decentralize their networks. 5. Automation in Networking Network automation is the process that automates security and network to maximize the functionality and efficiency of the network. It will help IT companies to deploy applications faster. It is set to take the digital transformation to the next step by automation of network and security operations. It reduces the risk of downtime and failure of the network while making the management faster, simpler, and easier. Connecting to Future Networking Based on the trends that will reshape the networking world, we are going to see a significant change in the tech landscape. 2021 will be transformative for every person around the world. Several long-held concepts and infrastructure will be replaced by new ones making the network a vital asset to the business. Besides, the organizations are ready to take advantage of them in a way that was never imagined before. For any question or concern, have an IT consultation from the experienced.