5G
Article | May 18, 2023
Emerging virtual and hybrid private 5G solutions are enabling communication service providers (CSPs) to address a large number of new consumer and enterprise edge use cases. Each of these edge use cases will require a specific network deployment model and edge user plane connectivity. That’s why we’ve designed our 5G edge user plane to tackle five distinct key capabilities: support of flexible network deployments, 3GPP dual-mode support, integrated Gi LAN services, integrated probing with edge analytics and edge exposure enablement. Let’s dive into this blog post to learn how the powerful 5G edge user plane is unlocking new 5G edge use cases.
How technological innovation creates value and benefits society has always interested me, influencing my work as a mobile network technologist and sales professional. Since mobile data was introduced in late 90s, both mobile network technology and mobile consumer use cases have evolved enormously. Indeed, a rapid increase in connectivity speed and the introduction of smartphones have pushed the market to adopt mobile web and video and create thousands of new applications. However, sometimes ‘killer use cases’ require both business case and application ecosystem maturity. One example is video conferencing, one of the key services 3G was designed for but was only introduced when the over-the-top (OTT) vendors disrupted the content provider market and popularized social media. Creation of mobile technology has indeed its own innovation cycles and research feeds and therefore can't depend on market pull, but you can draw the conclusion that the time to value greatly benefits when the broad business and technology ecosystem in the value chain collaborate and co-create solutions.
Precisely, what’s really exciting about 5G is that it coincides with the maturity of other two disruptive technology enablers for end applications: artificial intelligence (AI) and cloud edge computing. It also comes at a moment when there’s both an urgent need and huge financial support to digitalize society and industry. In fact, more than ever, we are witnessing a close collaboration between technology and business ecosystems. Over the past few years, there have been a large number of public-private consortiums to feed service requirements into 5G standards, explore and validate the value of 5G technology. For example, just to name few, the 5G alliance for connected Industries and automation (5G-ACIA) or European 5G infrastructure Public Private Partnership (PPP) projects. For years, 3GPP standards have been preparing to define advanced 5G connectivity solutions for edge computing and vertical digitalization use cases. In addition, all sorts of consumer and enterprise edge applications are being developed at the same pace in many areas such advanced video processing, AI analytics, immersive gaming, smart grid applications, automated guided vehicles (AGVs) controls or industry automation.
The edge ecosystem is particularly complex and involves different players. One key pillar is the wireless connectivity service CSPs offer. 5G-ACIA introduced the concept of virtual private and hybrid private 5G solutions, two emerging solutions that CSPs are exploring to complement their private 5G network offerings. Such solutions allow CSPs to leverage their existing public networks and offer new services in an agile and cost-effective manner using new 5G capabilities such as network slicing. In order to address edge use cases, virtual and hybrid private 5G solutions need to bring the user plane connectivity to the edge by deploying 5G edge user plane functions.
The 5G edge user plane supports flexible network deployments
One key learning from industry experimentation with 5G is that each use case brings a unique combination of connectivity requirements, in terms of end-to-end performance (uplink and downlink latency, jitter, packet loss and throughput), data privacy and security, robustness, wide vs local area coverage and mobility.
Latency and security requirements drive the selection of the edge location, which can be the enterprise premise, CSP access or regional data center or even the extended public edge such as content delivery networks (CDN) content provider or a hyper cloud provider’s (HCP) edge data center. For example, a mobile gaming application can be located in the CSP regional data center or HCP edge, whereas video processing and AI for a factory automation application is located on the factory premise. Also edge distribution can be accounted by CSP for those use cases which produce significant amount of data such as fixed wireless access (FWA) to optimize backhaul costs.
Ericsson has a vast experience supporting and driving the ecosystem to realize time critical communication use cases at scale and has conducted detailed latency analysis for different type of deployments. The RAN deployment needs to be carefully planned according to the specific use case performance characteristics. Some use cases can be achieved with existing macro RAN environment -4G or non-standalone 5G-, with macro RAN standalone 5G with or without dedicated quality of service (QoS) profiles or even may require network slicing to partition macro RAN. In contrast, some other use cases will need dedicated RAN deployments. In addition, most use cases will benefit from a dedicated edge user plane function, as it provides a higher level of performance and robustness.
In summary, the concrete edge use cases to be offered and CSP’s own solution preferences drive the type of network solution and deployment, which can be a private 5G network, a virtual or a hybrid 5G private network using existing macro or dedicated RAN, with or without network slicing.
The edge 5G user plane function should allow for such deployment flexibility and enable the different edge use cases characteristics. Ericsson Local Packet Gateway (LPG) addresses this by:
Supporting any access technology, radio deployment model and RAN vendor
Seamlessly integrating with Ericsson’s existing dual-mode 5G Core. which is prepared for slicing, efficient routing to edge (also called edge breakout) and advanced QOS and many other 5G edge features described in more detail in next section.
Supporting a fast time to service, deployment simplicity and a very low footprint enabling deployment at scale in any type of edge location, up to on enterprise premises. See our previous LPG 5G edge user plane: key requirements for success for details.
Providing a high level of robustness and failure resilience by means of a cloud native user plane application designed for high availability and fault resilience, support of geo-redundancy and support of 3GPP control plane and user plane split (CUPS) interface which can be deployed in full mesh with multiple control planes. User plane can also be deployed as a dedicated function within a slice to secure further characteristics and isolation or as a shared function for various slices.
5G edge user plane should enable transition from 4G to more sophisticated 5G connectivity
Most of CSPs are embracing edge opportunities. They are viewing the opportunities as an evolution of their existing offerings rather than a revolution, meaning existing 4G enterprise use cases will still need to be supported for some time as the ecosystem matures to support time-critical communications type of use cases. This means 5G edge user plane should be dual-mode and support such a wide breadth of technology.
5G edge user plane should support both 3GPP compliant serving/packet gateway user function (S/PGW-U) and user plane function (UPF) and evolve with advanced UPF features for time-critical communications, such as more stringent end to end QoS and transmission robustness for ultra-reliable low latency communications (URLLC) or Ethernet connectivity for advanced edge industrial use cases. It should also support 5G peak rates and do not degrade use cases performance characteristics. It should also support dynamic edge routing solutions which are efficient, deployable by multipurpose terminals and mobility proof such as dynamic network slice selection which is preferrable to UPF as uplink classifier as starting solution until standardization evolves.
5G edge user plane should work in conjunction with the CSP’s dual-mode core system, which supports dynamic slicing orchestration, dynamic slice selection, ultra-reliable low latency communications and advanced 5G edge connectivity features such as different service continuity and user plane re-anchoring modes depending on mobility and application resilience needs. Ericsson’s dual-mode 5G Core with Local Packet Gateway provides such advanced 5G connectivity in a pre-verified manner. In fact, the Ericsson Local Packet Gateway Cloud Native Function (CNF) is based on the same software as the Ericsson Packet Core Gateway (PCG), the market leading cloud-native user plane, which is deployed in 5G live networks today.
Such deployment flexibility in edge user plane allows CSP to offer distinct use cases. For example, CSPs can offer mobile gaming service by deploying a cloud virtual reality (VR) gaming center application in their regional data centers. Connectivity with guaranteed low latency QoS can be provided by a dedicated 5G network slice with the dedicated Ericsson Local Packet Gateway, deployed close to the gaming application and connected to the CSP’s existing central core network. The mobile gaming application can use a portable device such as VR glasses or use a multi-purpose smartphone or tablet that supports dynamic slice selection. CSP can reuse their existing public network and macro 5G RAN. As another example, CSP can offer 5G edge connectivity to factories or logistic centers for augmented reality (AR) quality inspection. The AR application is deployed on the factory premise and needs an ultra-reliable and low-latency QoS connection to process in real time all the factory images. This is provided by a dedicated Ericsson Local Packet Gateway with ultra-reliable low latency QoS and redundant configuration being deployed on premises.
Edge use cases will require user plane services beyond 3GPP
There is a set of non-standardized user plane functions deployed in today’s networks (also called GI/N6 LAN functions) for mobile broadband service that would be also relevant for edge use cases. These functions can be categorized as:
Traffic acceleration and optimization of access resources e.g., transport layer optimizers or advanced video traffic shapers
Network services e.g., carrier grade NAT devices or external load balancers
Service aware traffic monitoring and enforcements needed to realize customized CSP charging data plans or comply with some country regulatory such as content filters
Network security functions protecting CSP infrastructure and UEs of security attacks such as subscriber firewalls or distributed denial (DDoS) mitigation systems, and
Service chain policers and forwarders to chain and offload these GI/N6 LAN functions. Those can be integrated with operator policy framework to compose and program a unique data pipeline which addresses the specific connectivity needs of a given subscriber and application in the context of a certain use case
The current GI/N6 LAN market is very fragmented and addressed by many different vendor specific user plane functions. These functions are deployed as separate appliances or virtualized functions, each with their management system, policy integration and cloud orchestration system which significantly increases CSP’s total cost of ownership (TCO) when deploying and managing them. As CSPs start their edge journey they will need to bring some of these GI/N6 functions to the edge. A very simple and cost-efficient strategy to consolidate these functions in one single edge user plane function. This approach is being adopted by Ericsson Local Packet Gateway: it integrates these functions, including advanced integrated Packet Core Firewall, together with the UPF/S/PGW-U functions. This dramatically reduces the TCO and provides a single hop to the end application, which reduces further the latency. Ericsson Local Packet Gateway also allows to compose and tune the set user plane functions applied to a given traffic in one configuration click, which allows to customize the connectivity for each edge use case.
Another consideration is that these GI/N6 functions were designed for legacy mobile broadband. This means they will need to evolve to support 5G peak user throughput rates and new 5G segment requirements, e.g., traffic optimizations should focus on optimizing the throughput of uplink transmissions and reducing the overall jitter and latency. Service aware charging models will evolve as 5G gets monetized, security for edge enterprise connectivity will keep evolving as well. Technological innovation in this space is a must for any edge user plane vendor and should be holistic considering the entire ecosystem and end-to-end solution behavior. As one example, edge user plane can leverage 3GPP exposure interfaces for application detection, use collaborative solutions with content providers or RAN to optimize traffic delivery or even adapt traffic optimizations to new end to end rate adaptation mechanisms such as low latency low loss scalable throughput (L4S). Ericsson, as an end-to-end network provider and key contributor to 5G standardization, is working actively in this space.
Edge connectivity needs to be monitored and assured
CSPs need to monitor, troubleshoot, and assure the edge user plane connectivity. In many cases the CSP organizations dealing with enterprises services have their own analytic and management systems. Those systems need to evolve to provide visibility of the 5G encrypted communication, up to on enterprise premise and without compromising 5G security and provide advanced insights to meet the stringent service level agreements of edge use cases. Example of user plane data feeds are traffic packet and patterns statistics, key performance indicators at transport level or service quality of experience estimates per application, area of interest, slice and subscriber type. CSP analytic use cases will also evolve, meaning network assurance and service experience management use cases will increasingly adopt AI/ML models with distinct and very demanding UP data sets running in parallel.
External probing solutions were not designed for these requirements. The cost of evolving and deploying such solutions to thousands of edges is unaffordable. Ericsson Local Packet Gateway addresses this challenge by supporting integrated dual-mode probing capabilities which includes rich, granular data with pre-processed data and advanced data collection profiles avoiding the need of deploying external taps, packet broker and probes at edge. Software probes are a unique Ericsson dual mode 5G Core feature – a feature that’s very popular with our customers for public network and enterprise solutions.
CSP will also introduce network data analytics function (NWDAF) function to enable 5G analytics for further 5G automation, new exposure APIs for verticals and data efficiency. An NWDAF can collect edge user plane and public network data to provide real time analytics which can be consumed by the network functions or by the end edge application to improve further the edge connectivity. Example of those analytics are user mobility, network congestion, quality of service, service experience or abnormal user behavior. Ideally, the NWDAF should be distributed at the edge and deployed co-located to the edge user plane for data efficiency, security and lower actuation latency.
Ericsson NWDAF supports such distributed and co-located deployment and analytics and can collect pre-standard data from the Local Packet Gateway data until 3GPP rel-18 specifies UPF event exposure.
Edge exposure for advanced edge connectivity
Exposure through APIs on the edge is becoming increasingly important for CSPs to enable new services, increase their relevance in the 5G ecosystem and become more attractive partners for hyperscale cloud providers, application ecosystems and other players.
Edge applications will be able to consume network capabilities and data to provide advanced services and innovate. Data extracted from edge user plane function will be of high value. For example, to determine the exact UE sessions being anchored by a given edge user plane, the actual monitored QoS, etc. Such exposure capabilities in edge user plane allows application to adapt the content delivery or reconfigure dynamically the connectivity, e.g., change dynamically the negotiated QoS or influence edge routing. As mentioned previously, NWDAF user plane analytics can be also exposed for advanced edge use cases.
Ericsson is already working with our customers to create new edge use cases using Ericsson Local Packet Gateway and Edge Exposure Server. Stay tuned!
Summary:
In this blog post we’ve explained the different considerations that need to be taken into account when selecting the 5G edge user plane, and how it enables flexible virtual private and hybrid 4G private solution deployments and address the user experience idiosyncrasy of myriads of edge use cases. The 5G edge user plane has to be small, cost efficient, easy to deploy but still extremely powerful and advanced in terms of dual connectivity and added value features.
Ericsson Local Packet Gateway is designed with all these capabilities in mind and integrates seamlessly with existing CSP dual-mode 5G Core, delivering edge use cases was never that easy.
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5G
Article | September 28, 2023
If you are clued into IT, then most likely, you are aware of the latest trending technology, edge computing data centers.
Edge Computing ensures exceptional speed, with firm privacy and security compared to the conventional cloud methods, thus making edge data centers an imperative option for everyone.
The world is undoubtedly moving faster, thereby perpetually pushing the power of next-generation innovation.
Edge computing data center has emerged as a substitute to cloud computing, that keeps the data processing power at the “edge” of the network.
But, it also comes with a set of challenges to the network.
Edge computing devices that have processing functions are expensive and to operate the older version, additional equipment is required, which incurs extra expenditure.
Despite the challenges, edge computing has turned out to be the biggest technology investment.
So, let’s break it down here with comprehensive details to understand how this latest trending technology is all set to shape the future of the data center.
A Brief on Edge Computing
The word edge refers to the literal geographic distribution that brings computation and data storage nearer to the data sources.
It improves the response duration and saves bandwidth as it runs fewer processes in the cloud and shifts those processes to local destinations such as on a user’s computer, an edge server, or an IoT for that matter.
In a nutshell, edge computing is a topology that enables data to be analyzed, processed, and transferred at the edge of a network, It helps diminish the long-distance communication that takes place between a client and server.
A significant advantage of using edge computing lies in its high speed and better reliability. In addition, it offers improved security by distributing processing, storage, and applications across wide-ranging devices and data centers.
What’s more, it paves the way for a budget-friendly route to scalability as well as versatility, enabling organizations to expand their computing capabilities through an amalgamation of IoT devices and edge computing data centers.
Edge Data Centers and Their Usage!
There isn’t any specific explanation that would describe the idea of an edge data center, considering it isn’t one consistent style of the facility. It instead consists of smaller facilities that serve both edge computing and larger-scale cloud services.
Since they are located closer to the population, they could easily extend the edge of the network to deliver cloud computing resources and cached content to end-users. Typically, they connect to a larger central data center or multiple computer data centers seamlessly.
Latency has forever been a matter of concern for cloud data center managers. In recent times, it has emerged as a key obstacle due to big data, the Internet of Things, cloud and streaming services, and other technology trends.
Moreover, in today’s time and age, end-users and devices demand access to applications and services anytime and anywhere, which leaves no room for latency. Consequently, companies across the spectrum are establishing edge data centers to ensure cost-effective and high-functionality ways to provide customers with content and performance.
A great way to learn more about the data center would be to understand its usage. The following are some of the services that primarily rely on edge computing:
Internet of Things
Internet of Things tools essentially require low latency and reliable connections to the data center to function with high intensity. IoT devices add up a vast number of edge computing utilities; thus using edge computing makes it simple and effective.
Streaming Content
Streaming content is one of the most consumed form of infotainment. Users today want their video to get started with a single click that edge facilities help achieve.
Drones
While Drones are increasingly getting popular, their features are also massively advancing. For example, with edge computing, drones could be controlled even from far-flung locations without any hitch.
Artificial Intelligence
AI is one of the most thriving technologies that have taken over the world with its magnificent scalability, To make AI advantageous to the system, it should be able to access data, process it, and communicate with the end-users effectively and quickly which an edge data center allows.
Virtual Reality
Virtual Reality needs to get updates as quickly as possible to create an immersive world for the users. Though primarily associated with gaming, VR has also gained recognition for different paradigms such as communication, education, and several other significant uses.
Edge Computing and Data Centers – The Future!
A dedicated 5G Provider
Edge Computing is underway, building mammoth telecommunications capabilities into data center growth trends. These facilities could change the dynamics of 5G providers for enterprise brands and emerge as the dedicated 5G providers for organizations.
Support sustainable business goals
Edge data centers are being looked to as a periphery that can help build more efficient solutions to enable the sector’s sustainability. Edge computing is specifically designed to keep applications and data closer to devices and their users. Therefore, there is little doubt over the impact that edge computing will have on sustainable business goals.
Making way for Robot Security Guards
Evolution in AI and IoT has drastically changed the human staffing needs inside the data centers and made way for Robots. Currently, Robots have been deployed in some of the hyper-scale data centers for specific tasks. Whether it is the automated inspection, faulty disc locating, or disc charging, with Robots at the helm of affairs, everything can be completed seamlessly.
Many data center and robotics professionals are predicting that the next couple of years will be big leaps when it comes to placing more robotics in the data center environment.
Bill Kleyman - now Switch EVP of digital solutions - wrote in 2013.
How Does One Choose a Location For a Data Center?
Data centers are a critical part of any business enterprise operations. Hence, decisions regarding its locations cannot be relegated to an arbitrary choice.
In the past, companies used to set up their edge data centers closer to their offices to maintain the proximity. However, that is swiftly changing now as the equipment administration and monitoring can be achieved remotely.
With the data center industry transforming, performance is no longer the sole consideration.
To create a defining success of the data centers, companies are now looking for different sites for their data centers, primarily focusing on factors like economic, political, social, and geographical.
The current scenario highlights the significance of considering Energy efficiency, business continuity plan, and resource optimization. With so much at stake, the edge data centers should be effortlessly accessible.
Conclusion
Edge computing and data center growth has garnered a lot of interest among the users over the past few years. It will continue to thrive for many more years to come as it meets the eye of the global tech demands and the current and future needs of the users worldwide.
Frequently Asked Questions
What are the benefits of edge computing?
One of the top benefits of edge computing is its quick response time and low latency period across all devices. It also simplifies the bandwidth and creates less risk in corporate security.
What are the drawbacks of edge computing?
A significant drawback of edge computing is the need of a huge storage capacity. The security challenge is also relatively high due to the massive amount of data stored in it. Moreover, the expensive cost factor is also a disadvantage of it.
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Enterprise Mobility, Mobile Infrastructure
Article | June 16, 2023
Everyone understands the need to track and trace and tracking was one of the first apps that kick-started the M2M industry at scale about two decades ago. It now encompasses everything from routine shipments to monitoring of high value equipment and has even further proved its worth in the pandemic, enabling tracking of essential shipments and cold chain logistics for vaccines.
With narrowband IoT (NB-IoT) now rolling out across the world, the technology is powering tracking applications for the mass-market, bringing new capabilities and functions to tracking and opening up new markets and use cases. Four essential attributes of NB-IoT, in addition to the fundamental ability of throughput, were discussed in a recent Quectel webinar
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Enterprise Mobility, Mobile Infrastructure
Article | June 16, 2023
Discover network intrusion monitoring with top network monitoring books. Explore insights, best practices, and tools to secure network visibility and processes used in monitoring network performance.
Observing networks for performance and security anomalies is crucial for businesses that rely on their business network. Network monitoring solutions monitor performance metrics across an entire network to guarantee that your systems operate properly. From monitoring network performance to ensuring comprehensive visibility, the books listed below will offer a wealth of knowledge and expertise to empower professionals in the networking industry.
10 Network Monitoring Books to Effectively Monitor Performance
1 Zabbix Network Monitoring
Author: Rihards Olups
Zabbix Network Monitoring book is an indispensable resource for networking professionals seeking to enhance their network visibility and improve network performance monitoring. This comprehensive guide offers an approach to effectively monitor network devices and applications using Zabbix 3.0. One of the network monitoring books, Zabbix Network Monitoring covers essential topics such as data collection, native Zabbix agents, and SNMP devices. It also delves into monitoring Java application servers, VMware, notifications, permission management, system maintenance, and troubleshooting. It empowers readers to build a robust network monitoring solution to gather data from various systems. By exploring the intricacies of Zabbix, this book ensures that network monitoring becomes an efficient and effortless task, ultimately enhancing network visibility and performance for all stakeholders.
2 The Practice of Network Security Monitoring
Author: Richard Bejtlich
An essential book for networking professionals, The Practice of Network Security Monitoring: Understanding Incident Detection and Response, helps to enhance network visibility and strengthen network security. The book's author, Richard, guides readers through implementing network security monitoring (NSM) as a proactive defense strategy. The book emphasizes integrating NSM into security measures to effectively detect and respond to intrusions. It also provides practical insights on deploying, building and operating an NSM operation using open-source software and vendor-neutral tools. With a focus on proactive incident response, this book equips readers with the knowledge and techniques to establish a robust security net that detects, contains and controls attacks. By implementing the practices outlined in this book, organizations can better safeguard their networks and prevent the loss of sensitive data.
3 Internet and Network Architecture
Author: Sang Hinch
Internet and Network Architecture: Analyzing Performance with Network Monitoring Tools is a must-read for professionals in the networking industry seeking to enhance network visibility and optimize network performance monitoring. This comprehensive guide offers a thorough introduction to TCP/IP, FTP, IP addresses, ports, and web page retrieval, providing a solid foundation in internet and network architecture. The book explores the complex workings of routers, data transmission, network configuration, and architecture, enabling readers to build efficient and secure networks. Focusing on practicality, it emphasizes using network monitoring tools to analyze performance and troubleshoot issues effectively. By mastering the fundamentals presented in this book, readers will gain the knowledge and confidence to navigate the World Wide Web, understand network protocols, and make informed decisions for network optimization.
4 Zabbix 4 Network Monitoring
Author: Patrik Uytterhoeven & Rihards Olups
Zabbix 4 Network Monitoring: Monitor the performance of your network devices and applications using the all-new Zabbix 4.0, 3rd Edition is a comprehensive and highly valuable resource for professionals in the networking industry. This book serves as an essential guide to effectively monitor the performance of network devices and applications using Zabbix 4.0. Written for both beginners and experienced users, the book offers a step-by-step approach to help readers quickly grasp the installation process and explore the new features of network monitoring. From understanding native Zabbix agents and SNMP devices to harnessing Zabbix's integrated functionality for monitoring Java application servers and VMware, readers will gain comprehensive knowledge. With insights into optimizing performance, automating configurations, and troubleshooting network issues, it will develop advanced skills to ensure a healthy and efficient network.
5 Applied Network Security Monitoring
Author: Chris Sanders & Jason Smith
An indispensable book for professionals in the networking industry Applied Network Security Monitoring: Collection, Detection, and Analysis offers a comprehensive guide to become a proficient NSM analyst. Focusing on NSM's collection, detection, and analysis stages, this book equips readers with essential concepts through real-world examples and practical scenarios. Recognizing that prevention is not foolproof, the book emphasizes the critical role of detection and response in minimizing the impact of network intrusions. With insights from experienced NSM professionals and access to sample data, readers gain valuable knowledge to analyze network security incidents effectively. From data collection methods to in-depth coverage of tools like Snort, Suricata, Bro-IDS, SiLK, and Argus, this monitoring book provides hands-on experience and practical examples using real PCAP files. By leveraging Security Onion for lab examples, readers can develop and enhance their analytic techniques.
6 Practical Network Security Monitoring: Using Free Software
Author: Elizabeth Graham
Practical Network Security Monitoring: Using Free Software offers guidance on utilizing free software to collect, monitor, and analyze network traffic, thereby detecting and identifying potential threats. With a focus on providing practical exercises, this book equips beginner to intermediate users with the necessary knowledge to detect and defend cyber threats. Step-by-step instructions enable readers to install, configure, and effectively use free tools, allowing hands-on experience in analyzing network traffic and identifying malicious activity. This book edition covers Security Onion, introducing significant changes to the platform. The updated content includes new intrusions, malware, PCAP examples, and an introduction to web-based PCAP analysis tools. A bonus chapter challenges readers to test their knowledge through self-assessment.
7 Efficient Body Sensor Networks for Patient Monitoring
Author: Jawaid Iqbal
Efficient Body Sensor Networks for Patient Monitoring is a book for professionals in the networking and healthcare industry, focusing on the challenges, Body Sensor Networks (BSNs) face in continuously monitoring patient vital signs. BSNs operate in constrained environments and encounter issues such as patient information privacy, secure data transmission over public networks, high overhead, and energy constraints. Being one of the prominent network monitoring books, it presents five efficient and secure attribute-based schemes designed explicitly for BSNs. These schemes address the mentioned challenges comprehensively, providing practical solutions to enhance network monitoring performance in patient monitoring scenarios. By proposing novel approaches, this book contributes to the advancement of efficient and secure patient monitoring within BSNs.
8 Mastering Python Networking
Author: Eric Chou
A comprehensive guide created for professionals in the networking industry seeking to leverage Python for network automation, monitoring, and management, Mastering Python Networking: Utilize Python packages and frameworks for network automation, monitoring, cloud, and management, focuses on the latest Python libraries and frameworks and equips readers with the necessary skills to tackle common & complex network challenges effectively. From interacting with network devices to implementing advanced features using Python 3, the book covers a wide range of topics, including Docker containers, network data analysis, cloud networking, and DevOps practices. With practical examples and insights into tools like GitLab & ELK, network engineers, developers, and SREs will gain valuable knowledge to enhance their network performance monitoring and visibility.
9 AWS Security Cookbook
Author: Heartin Kanikathottu
Focusing on securing Amazon Web Services (AWS) infrastructure, AWS Security Cookbook: Practical solutions for managing security policies, monitoring, auditing, and compliance with AWS is written. Being one of the network monitoring books that provide professionals with valuable insights related to network visibility and network performance management in the networking industry, this book offers practical solutions to address common security challenges, including permission policies, key management, network security, and cloud security best practices. Industry professionals can explore various AWS services and features that enhance security, including IAM, S3, CloudWatch, CloudTrail, Config, GuardDuty, and Macie. In addition, the book also covers compliance requirements and demonstrates how to maintain security and compliance using AWS security services.
10 The Best of TaoSecurity Blog, Volume 2
Author: Richard Bejtlich
The Best of TaoSecurity Blog, Volume 2: Network Security Monitoring, Technical Notes, Research, and China and the Advanced Persistent Threat, guides professionals in the networking industry, particularly those interested in network security monitoring. Written by Richard Bejtlich, a renowned cybersecurity expert, he curates the best entries from his 17 years of writing on the TaoSecurity Blog. The book explores various intervention detection and response aspects, leveraging threat intelligence sources, network data, application and infrastructure data, and endpoint data. Additionally, it provides insights into Chinese hacking activities over the past two decades, offering a unique perspective from a defender on the front lines. With new analysis accompanying each post, readers can gain valuable knowledge on the evolution of the security industry, defensive methodologies, and strategies for enhancing national security.
Conclusion
In conclusion, the recommended books discussed in this article provide valuable insights and guidance for networking experts in the B2B sector. These resources cover various aspects of monitoring network performance, enhancing network visibility, and addressing security concerns. By delving into these monitoring books, professionals can gain a deeper understanding of effective network performance monitoring techniques, ensuring optimal visibility across their infrastructure. With the ever-evolving networking landscape, staying up-to-date with the latest trends and best practices, it is crucial for maintaining a high-performing network. These books offer industry-relevant knowledge and empower networking experts to make informed decisions, ultimately leading to a robust and efficient network infrastructure.
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