Understanding 5G for the Enterprise

5G is the fifth generation of cellular technologies, as standardized by the 3GPP. It will help improve wireless networking by providing higher bandwidth, lower latency, and higher connection density. 5G will differentiate itself by delivering various improvements: Decrease in latency: Delivering latency as low as 1 ms. Connection density: Enabling more efficient signaling for IoT connectivity.

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Technologent

Technologent is a Global Provider of Edge-to-Edge℠ Information Technology Solutions and Services for Fortune 1000 and SMB companies. We offer a unique blend of business practices that are aligned to solve for top CIO concerns. Our core competencies focus on data center infrastructure, business continuity, data protection, service automation and orchestration, continuous intelligence, monitoring, connectivity, collaboration and cybersecurity. These practices are supported by our professional services, managed services and financial services offerings. By providing custom solutions and services designed to fit your business needs, we enable your organization to be more agile, responsive and competitive.

OTHER ARTICLES
Enterprise Mobility, Mobile Infrastructure

Incumbent vendors cannot ignore the market-disrupting implications of AT&T’s and Swisscom’s outsourced 5G mobile cores

Article | June 16, 2023

At the tail-end of June, both AT&T and Swisscom announced plans to outsource their 5G mobile core networks to cloud service providers. AT&T’s announcement was with Microsoft Azure. Swisscom’s was with AWS. With the AT&T deal, Azure will be acquiring IP and engineering expertise from AT&T that it can resell to other operators. It was reported that Azure will offer jobs to current AT&T employees, as well. This move suggests Microsoft understands how critical it will be to retain talent that has deep networking knowledge. Swisscom’s deal does not appear to include AWS acquiring any Swisscom assets or employees, but the operator did say it will be using AWS for its own IT applications.

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Unified Communications, Network Security

How Can Machine Learning Streamline Networking?

Article | July 10, 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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Network Management, Network Security

RAN Management and Orchestration Is Central to Operators Gaining Control Over Their Own Networks

Article | July 17, 2023

The promise of Open vRAN is to give back to mobile operators some form of control over their networks. The “open” refers to the opening of RAN interfaces. It is critical because it gives operators the possibility to buy the radio unit and the baseband unit from different vendors, rather than having to buy an integrated system, and therefore helps them diversify their suppliers and reduce their dependence on traditional vendors. The “v” refers to virtual. Virtualization is about disaggregating hardware and software and enabling the use of commercial off-the-shelf servers, instead of the usual purpose-built hardware, to run network functions in order to increase flexibility and reduce costs. Across Asia-Pacific, the announcements and activities from operators including Airtel, Axiata, NTT Docomo, Rakuten Mobile, Smartfren and Telkomsel indicate a growing appetite for open and virtualized radio access networks. In countries like India, Indonesia, Malaysia and Thailand, open RAN can for example help to address the challenges of remote connectivity and to deploy a network in places where it has been traditionally difficult to achieve a satisfactory return on investment.

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Network Management

Network as a Service (NaaS): A Technology Businesses Need Today

Article | July 11, 2022

Network as a Service (NaaS) is gaining ground due to shrinking network boundaries and fast technological evolution in response to changing market demands. NaaS brings with it networks, operations, and business architecture that are more agile and based on open standards. Rather than the conventional upfront cost, Network as a Service technology delivers networking gear, software, and operational and maintenance services as an operational expenditure. NaaS, like other cloud services, is maintained by the service provider and offered for a set cost. Why Do Businesses Today, Need Network as a Service (NaaS)? Businesses have recognized the advantages of the cloud in moving away from conventional on-premises networks. The corporate network boundary has practically vanished, and NaaS is becoming a popular technology. Offers Flexibility to Businesses Businesses can obtain a better return and save money by employing utility models instead of large expenditures on hardware and network equipment. Time for Innovations NaaS provides innovations by staying up to date with updated software versions via license upgrades and can fulfill corporate demands to introduce new goods and services more quickly. Minimizes Operational Risk NaaS will reduce operational risk associated with artificial intelligence (AI) and/or machine learning (ML); businesses will be able to implement the most recent product features and services. Top 3 Benefits of Network as a Service (NaaS) Access from Anywhere Depending on how a cloud-based network is setup, users should be able to access it from anywhere and on any device without employing a VPN, though this creates the need for strict access control. A user should ideally just need a connection to the internet and login details. Bundled with Security NaaS enables a single supplier to provide both networking and security services such as firewalls. As an outcome, the network and network security are more deeply integrated. Cost-effective Purchasing cloud services rather than developing one's own services generally leads to cost savings: cloud users do not have to purchase and maintain equipment, and the vendor already has the servers necessary to provide the service.

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Spotlight

Technologent

Technologent is a Global Provider of Edge-to-Edge℠ Information Technology Solutions and Services for Fortune 1000 and SMB companies. We offer a unique blend of business practices that are aligned to solve for top CIO concerns. Our core competencies focus on data center infrastructure, business continuity, data protection, service automation and orchestration, continuous intelligence, monitoring, connectivity, collaboration and cybersecurity. These practices are supported by our professional services, managed services and financial services offerings. By providing custom solutions and services designed to fit your business needs, we enable your organization to be more agile, responsive and competitive.

Related News

30/60-W PoE ICMs Target Networking, Telecom Apps

Power Electronics | August 11, 2019

Bel Magnetic Solutions, a Bel group company involved in the design and manufacture of MagJack integrated connector modules (ICMs), recently introduced the 2x1 1-G 30- and 60-W Power-over-Ethernet (PoE) MagJack ICMs for networking and telecommunication applications. According to the company, the ICMs are compact and durable as they combine two RJ45 Ethernet ports into one magnetic connector that can be used to safely inject 30 or 60 W of power. This makes them suitable for customers who are looking to save board space by stacking RJ45 connectors together, grouping the Ethernet magnetics within the connector and enabling the magnetics to inject power onto data lines. A majority of today's communication equipment offers the capability of providing or accepting PoE. Bel Magnetic Solutions claims their line of ICMs offer smaller, higher density connectors that are capable of this functionality. They support a wide range of 1GBase-T Ethernet applications and can operate in harsh industrial conditions including an industrial operating temperature range of -40 to 85˚C without degrading performance.

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Wireless Communication Systems Estimated to Soar Higher During 2019-2027

Consumer Reports | August 11, 2019

Wireless Communication Systems Market Report by Material, Application, and Geography – Global Forecast to 2023 is a professional and in-depth research report on the world’s major regional market conditions, focusing on the main regions (North America, Europe and Asia-Pacific) and the main countries (United States, Germany, united Kingdom, Japan, South Korea and China). The report firstly introduced the Wireless Communication Systems Market basics: definitions, classifications, applications and market overview; product specifications; manufacturing processes; cost structures, raw materials and so on. Then it analyzed the world’s main region market conditions, including the product price, profit, capacity, production, supply, demand and market growth rate and forecast etc. In the end, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis.

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A10 Networks (NYSE:ATEN) Upgraded to Buy by Zacks Investment Research

Sundance Herald | August 11, 2019

Zacks Investment Research upgraded shares of A10 Networks (NYSE:ATEN) from a hold rating to a buy rating in a research note issued to investors on Wednesday morning, Zacks.com reports. The brokerage currently has $8.00 target price on the communications equipment provider’s stock. According to Zacks, “A10 Networks, Inc. provides software based application networking solutions. Its solutions enable enterprises, service providers, Web giants, and government organizations to enhance, secure, and optimize the performance of their data center applications and networks. The company delivers its solutions on optimized hardware appliances and as virtual appliances across its Thunder Series and AX Series product families. A10 Networks, Inc. is headquartered in San Jose, California. “ Separately, ValuEngine lowered A10 Networks from a buy rating to a hold rating in a research note on Tuesday, August 6th.

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30/60-W PoE ICMs Target Networking, Telecom Apps

Power Electronics | August 11, 2019

Bel Magnetic Solutions, a Bel group company involved in the design and manufacture of MagJack integrated connector modules (ICMs), recently introduced the 2x1 1-G 30- and 60-W Power-over-Ethernet (PoE) MagJack ICMs for networking and telecommunication applications. According to the company, the ICMs are compact and durable as they combine two RJ45 Ethernet ports into one magnetic connector that can be used to safely inject 30 or 60 W of power. This makes them suitable for customers who are looking to save board space by stacking RJ45 connectors together, grouping the Ethernet magnetics within the connector and enabling the magnetics to inject power onto data lines. A majority of today's communication equipment offers the capability of providing or accepting PoE. Bel Magnetic Solutions claims their line of ICMs offer smaller, higher density connectors that are capable of this functionality. They support a wide range of 1GBase-T Ethernet applications and can operate in harsh industrial conditions including an industrial operating temperature range of -40 to 85˚C without degrading performance.

Read More

Wireless Communication Systems Estimated to Soar Higher During 2019-2027

Consumer Reports | August 11, 2019

Wireless Communication Systems Market Report by Material, Application, and Geography – Global Forecast to 2023 is a professional and in-depth research report on the world’s major regional market conditions, focusing on the main regions (North America, Europe and Asia-Pacific) and the main countries (United States, Germany, united Kingdom, Japan, South Korea and China). The report firstly introduced the Wireless Communication Systems Market basics: definitions, classifications, applications and market overview; product specifications; manufacturing processes; cost structures, raw materials and so on. Then it analyzed the world’s main region market conditions, including the product price, profit, capacity, production, supply, demand and market growth rate and forecast etc. In the end, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis.

Read More

A10 Networks (NYSE:ATEN) Upgraded to Buy by Zacks Investment Research

Sundance Herald | August 11, 2019

Zacks Investment Research upgraded shares of A10 Networks (NYSE:ATEN) from a hold rating to a buy rating in a research note issued to investors on Wednesday morning, Zacks.com reports. The brokerage currently has $8.00 target price on the communications equipment provider’s stock. According to Zacks, “A10 Networks, Inc. provides software based application networking solutions. Its solutions enable enterprises, service providers, Web giants, and government organizations to enhance, secure, and optimize the performance of their data center applications and networks. The company delivers its solutions on optimized hardware appliances and as virtual appliances across its Thunder Series and AX Series product families. A10 Networks, Inc. is headquartered in San Jose, California. “ Separately, ValuEngine lowered A10 Networks from a buy rating to a hold rating in a research note on Tuesday, August 6th.

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