5 Things to Consider When Deploying SD-WAN

Data Center Networking

Article | July 5, 2023

Discover key network performance metrics to enhance user experience. Explore in-depth latency, throughput, jitter, packet loss, VOIP quality, and MOS score to optimize network performance analysis. Contents 1. Importance of Network Performance Metrics for Performance Analysis 2. Critical Key Network Performance Metrics to Monitor 2.1 Latency 2.2 Throughput 2.3 Jitter 2.4 Packet Loss 2.5 VOIP Qualiy 2.6 MOS Score 3. Steps to Monitor and Measure Network Performance 4. Significance of Monitoring Metrics in Network Troubleshooting 4.1 Provides Network Visibility 4.2 Prevents Network Downtime 4.3 Observe Bandwidth Usage 5. Overcome Monitoring Challenges in Network Performance Metrics 6. Key Takeaway 1. Importance of Network Performance Metrics for Performance Analysis Network performance involves analyzing and evaluating network statistics to determine the quality of services provided by the underlying computer network. Considering various key network metrics, it is primarily measured from the end-users’ perspective. Measuring these metrics, analyzing performance data over time, and understanding the impact on the end-user experience is essential to assess network performance. Measuring network performance requires considering factors such as the location and timing of measurements. For instance, network performance may differ when comparing paths between cities or during periods of varying user demands throughout the day. Therefore, a comprehensive approach to monitoring network performance involves identifying these variables and identifying areas for improvement. Network performance metrics offer valuable insights into any network infrastructure and services. These metrics provide real-time information on potential issues, outages, and errors, allowing one to allocate IT resources efficiently. Understanding end-user demands can create an adaptive network to meet future business needs. However, comprehensive monitoring requires an advanced network monitoring tool to gather, analyze, and interpret data effectively, optimizing network performance. Leveraging relevant metrics can improve network performance, help make informed decisions, enhance network reliability, and deliver a superior user experience. 2. Critical Key Network Performance Metrics to Monitor 2.1 Latency Latency, or network delay, is a crucial performance metric in network monitoring and management. It quantifies the time required to transmit data between destinations. Factors like packet queuing and fiber optic cabling affect network latency. Consistent delays or sudden spikes in latency indicate significant network performance issues. Monitoring and minimizing latency are essential for ensuring optimal network performance. By actively tracking latency, organizations identify and address issues that may cause delays in data transmission, thereby improving overall network responsiveness and minimizing disruptions for end-users. 2.2 Throughput Throughput metrics for network monitoring enable measurement of the data transmission rate across various network segments. Unlike bandwidth, which represents the theoretical data transfer limit, throughput reflects the successful delivery of data packets to their destination. Variations in throughput can occur across different network areas. A low throughput indicates the presence of dropped packets requiring retransmission, and highlights potential performance issues that need attention. Monitoring throughput is crucial for effective network management. By monitoring this performance metric, organizations can gain insights into the actual data transmission rate, ensuring that it aligns with expected levels. 2.3 Jitter Jitter, a key performance metric in network monitoring, refers to the variation in delay between packets, measured as the difference between expected and actual arrival times. It results due to network congestion, routing issues, or other factors, leading to packet loss and degraded application performance. Jitter disrupts the standard sequencing of data packets and can arise due to network congestion or route changes. Monitoring jitter is crucial for identifying and addressing network stability issues and ensuring reliable data transmission. By actively monitoring this performance metric, organizations can address variations in packet delay, mitigating issues that leads to packet loss and enabling proactive troubleshooting. 2.4 Packet Loss Packet loss, a performance management network monitoring metric, represents the number of data packets lost during transmission. It directly affects end-user services, leading to unfulfilled data requests and potential disruptions. Packet loss can arise from various factors, including software problems, network congestion, or router performance issues. Monitoring the entire process precisely to detect and address packet loss, ensures reliable data transmission and optimal network performance. Monitoring packet loss with the right network monitoring software enables timely troubleshooting and optimization of network infrastructure, ultimately enhancing overall network reliability and performance. 2.5 VOIP Quality VoIP (Voice over Internet Protocol) quality is a crucial network performance metric. It refers to the overall performance of a VoIP system in delivering clear and reliable voice communications over the Internet, replacing traditional phone lines. Factors influencing VoIP quality include network bandwidth, latency, packet loss, jitter, and the quality of end-user devices. Monitoring VoIP quality ensures optimal system functionality and high-quality voice communications. Key performance indicators (KPIs) such as mean opinion score (MOS), jitter, latency, packet loss, and call completion rates are utilized to assess and optimize VoIP quality. 2.6 MOS Score Mean opinion score (MOS) is a vital performance metric in network monitoring, rating the perceived quality of a voice call on a scale of 1 to 5. It is a standardized measurement developed by the ITU, an international agency focused on enhancing communication networks. Initially designed for traditional voice calls, the MOS has been adapted to evaluate Voice over IP (VoIP) calls. The MOS score considers various factors, including the specific codec employed for the VoIP call, providing a comprehensive assessment of voice calls quality in network monitoring. 3. Steps to Monitor and Measure Network Performance Step 1: Deploy a Software for Network Monitoring To effectively measure network performance, deploying dedicated network monitoring software is crucial. While temporary tools like traceroutes and pings can provide insights into ongoing problems, they are insufficient for troubleshooting intermittent network issues. Relying on periodic tools for intermittent issues is reliant on chance, as it may only detect problems when they occur during tool usage. By implementing comprehensive network monitoring software, one can proactively monitor and analyze network metrics, historical data, and performance, allowing for timely detection and resolution of both ongoing and intermittent network issues. Step 2: Distribute Monitoring Agents For comprehensive network performance measurement, businesses must distribute monitoring agents strategically across key network locations. These specialized software agents continuously monitor network performance using synthetic traffic, simulating and assessing the end-user perspective. By distributing Monitoring Agents, organizations can: • Measure key network metrics, including jitter, packet loss, and throughput. • Identify and troubleshoot intermittent network issues that are challenging to pinpoint. • Receive alerts regarding any performance degradation, ensuring a timely response. • Collect valuable data for in-depth troubleshooting and analysis, facilitating proactive network management and optimization. Step 3: Measure Network Metrics After deploying the monitoring agents, they continuously exchange synthetic User Datagram Protocol (UDP) traffic, forming a network monitoring session. During this session, the agents measure network performance by evaluating key metrics and conducting network traffic analysis. The metrics used in the analysis include specific parameters, and the results of these measurements are presented in a network response time graph, providing a visual representation of the network's performance characteristics. Monitoring and analyzing these metrics enable organizations to gain valuable insights into network performance, facilitating informed decision-making and convenient network performance troubleshooting. 4. Significance of Monitoring Metrics in Network Troubleshooting 4.1 Provide Network Visibility Monitoring metrics plays a vital role in network troubleshooting by offering network visibility. They enable the identification of performance bottlenecks, configuration problems, and security vulnerabilities that detrimentally affects network performance. These issues can be addressed through targeted troubleshooting efforts, resulting in improved network performance and enhanced end-user experience. Organizations identify and resolve network issues by monitoring metrics, ensuring optimal network functionality and overall business productivity. 4.2 Prevent Network Downtime Effective monitoring metrics are instrumental in preventing network downtime, a costly concern for businesses. Swift identification and resolution of network issues through proactive network performance troubleshooting help minimize downtime, ensuring uninterrupted business operations. By promptly addressing potential problems, network troubleshooting safeguards against lost productivity, revenue, and customer dissatisfaction. Maintaining a proactive approach to monitoring and resolving network issues to enhance network reliability and business continuity. 4.3 Observe Bandwidth Usage Monitoring metrics are essential in network troubleshooting as they enable the observation of bandwidth usage. This allows organizations to detect abnormal or excessive utilization, pinpoint key performance issues and ensure optimal resource allocation. It allows for identifying critical bandwidth-hogging applications or network intrusions, helping experts take immediate action to mitigate risks, safeguard data, and protect the overall network integrity. Additionally, experts can optimize network performance and ensure a seamless user experience for organizations relying on efficient network infrastructure. 5. Overcome Monitoring Challenges in Network Performance Metrics Enterprises seeking to ensure optimal network performance and improve overall business operations must overcome network monitoring obstacles. Effectively monitoring, tracking, and improving network performance requires a strategic combination of skilled personnel, advanced technologies, and well-defined strategies. Failing to address these requirements results in various challenges that hinder the ability to enhance network performance effectively. The challenges that businesses often encounter include managing scalability, handling massive data volumes, achieving real-time monitoring, dealing with multi-vendor environments, addressing network security and privacy concerns, and adapting to evolving network demands. Each obstacle presents unique complexities that require tailored approaches and expert insights. To overcome these challenges, enterprises must invest in comprehensive monitoring tools capable of handling the scalability demands of growing networks. These tools should provide real-time network visibility, robust analytics capabilities, and intelligent data filtering mechanisms to extract meaningful insights from vast network data. Establishing clear monitoring objectives aligned with business goals and defining key performance indicators (KPIs) are essential in effectively addressing network performance challenges. 6. Key Takeaway Monitoring network performance metrics is crucial for assessing the quality of services a computer network provides from an end-user perspective. It involves continuously tracking and analyzing key metrics such as latency, throughput, jitter, packet loss, VOIP quality, and MOS score. Organizations can actively monitor and assess performance, proactively identify intermittent issues, and collect valuable data for in-depth analysis by implementing dedicated network monitoring software and strategically deploying monitoring agents across the network. In addition, it is imperative to emphasize the significance of monitoring metrics in mitigating the potential financial impact of network downtime, enhancing the utilization of available bandwidth resources, and efficiently tackling the complexities inherent in scaling operations, real-time monitoring, diverse vendor ecosystems, security concerns, and the ever-evolving requirements of modern networks.

Enterprise Mobility

Article | June 15, 2023

Introduction 5G is predicted to have a significant impact on how cloud computing operates in the future. It will undoubtedly revolutionize the communication and networking industry. In addition, it will have a significant impact on all other industries. Transmission speeds will be 10 times faster in 5G than in 4G. Apart from networking and communication industries, it will also revolutionize other healthcare, automotive, and many more. Commercial 5G smartphones are already in the market. A study report by Ericsson Mobility predicts that there will be one billion 5G subscriptions by 2023. It will account for about 20% of the mobile data traffic. 5G, with its features such as low latency performance and high speed, has all the capabilities of developing cloud computing and take to the next level. As a result, there will be an unpredictable positive impact of 5G on cloud computing, especially in the industries and sectors that use the latest technologies such as the Internet of Things, machine learning, and AI. It has already started redefining business networks. It is also expected to make tremendous, unpredictable progress and changes in how cloud computing and networks perform in storing, moving, and accessing data. It will be possible as 5G brings more technological applications to make digital transformations faster and more efficient for businesses. 5G Network- Advantages As said in the introduction, there are many advantages to 5G network. Some of them can be: Greater transmission speed Lower latency Higher capacity Compared to 4G, 5G has increased bandwidth. These features will change the way people work, live, and play in the future once the 5G network comes into play widely. How Will 5G Impact Cloud Computing? Undoubtedly 5G has the potential to redefine the future of cloud computing. It will transform edge computing. Let us look in detail at what impact 5G will bring in cloud computing. Mobile Cloud Applications to Become More Efficient and Widely Used Undoubtedly 5G has the potential to redefine the future of cloud computing. It will transform edge computing. Let us look in detail at what impact 5G will bring in cloud computing. Mobile Cloud Applications to Become More Efficient and Widely Used Organizations today widely use cloud-enabled applications for customer services as well as for their different operations. Once the widespread use of the 5G network starts, the mobile application will become more efficient and widely used. It will be reflected more in the industries such as healthcare and banking. Enabling Cloud Service Providers to Reach Customers Reliably and Easily 5G will make a machine to machine communication and larger computing possible. This will make accessing virtual machines via phones a common practice. Mobile users will get more features and options from cloud computing enterprises. Remote workers will access cloud services as hotspots will become faster and uninterrupted. Complete Transformation of Edge Computing The emergence of edge computing has solved the issues of unnecessary traffic on the cloud and latency. The need for edge computing became strong when internet penetration and IoT came into existence. Now, G5 will make edge computing grow, making it an essential thing. G5 will transform edge computing entirely and increase the demand for it. As a result, edge and 5G are becoming mutually reinforcing phenomena. 5G will work on edge computing to provide quick real-time data. This is because edge computing has the potential to provide low latency and higher bandwidth. Faster Streaming 5G network will surprise companies and entities with its fast data transfer capabilities. It will be ten times faster than the 4G network. It will facilitate storage and faster real-time streaming and thus productivity at its best. “If everything you touch has to go to a data center and back before you see the animation, you're going to notice. Working at the 5G Lab in a mobile edge cloud, all of a sudden, what we thought would be impossible can happen because the 5G network is so fast.” - Ian McLoughlin, LiquidSky Software founder, and CEO Work from any Location As 5G is ten times faster than 4G in transferring data due to its better connectivity, employees can work from any location. It will make remote work possible anywhere. Better Security Systems As technology is ever-evolving, hackers and online frauds come with advanced techniques to steal data. They hold the sensitive information of organizations and do unimaginable damage. Once 5G is rolled out widely, administrators will recognize such frauds in advance and prepare to mitigate such cyber-attacks. Summing up Cloud computing is undoubtedly going to have an impact on cloud computing. The connectivity of 5G is ten times faster than 4G. IT will help people connect to their workplaces from any location. Remote work will make it easier. Cloud mobile applications will become more efficient and reliable. The service providers will have a good relationship with customers as they will be providing prompt and reliable service in terms of connectivity. Joining together with other technologies such as edge computing, AI, ML, technology is expected to get into another level with the wide roll-out of 5G. Frequently Asked Questions How will 5G affect cloud computing? Cloud computing will have a complete transformation and improvement when 5G is rolled out widely. The 5G connectivity has the features such as cloud virtualization, Ultra-reliable low-latency communication, better latency, increased bandwidth, and more flexible cloud-based management. How is 5G going to impact lives? 5G is capable of controlling services remotely. In addition, 5G will enhance autonomous driving, personal communication, IoT, AI, and augmented reality. It will also change the way companies store, access, share and protect data. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How will 5G affect cloud computing?", "acceptedAnswer": { "@type": "Answer", "text": "Cloud computing will have a complete transformation and improvement when 5G is rolled out widely. The 5G connectivity has the features such as cloud virtualization, Ultra-reliable low-latency communication, better latency, increased bandwidth, and more flexible cloud-based management." } },{ "@type": "Question", "name": "How is 5G going to impact lives?", "acceptedAnswer": { "@type": "Answer", "text": "5G is capable of controlling services remotely. 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Wireless, 5G

Article | May 18, 2023

For communications service providers, questions still loom over how 5G will be monetized. Many have voiced the view that the enterprise segment is where 5G will make its money, with potential use cases across a breadth of verticals including the automotive, manufacturing and utilities industries to name a few. However, if service providers focus more on delivering 5G business use cases to small and midsized enterprises (SMEs), this market segment could prove to be a fruitful source of revenue. As 5G deployments continue to roll-out globally, CSPs are focused on deriving value from projects and partnerships with large multinational enterprises. And they are eager to do so quickly to assure payback from their $1trillion investments in the next generation network. However, are CSPs blinkered in their approach to generating ROI from 5G? Are they limiting themselves by focusing too much on a small segment of the enterprise market, that to date has limited CSPs' involvement in early 5G projects, reducing them to mere providers of connectivity?

Article | July 6, 2021

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.