### Understanding Network Traffic Engineering

In the digital age, where seamless connectivity is crucial, network traffic engineering plays a pivotal role in ensuring efficient data flow across the internet. But what exactly is network traffic engineering? It involves the process of optimizing and managing data traffic on a network to improve performance, reliability, and speed. By employing various techniques and tools, network administrators can control the flow of data to prevent congestion, reduce latency, and enhance the overall user experience.

### The Importance of Efficient Network Traffic Management

Efficient network traffic management is essential in today’s fast-paced digital world. With the rise of streaming services, online gaming, and remote work, networks are under constant pressure to deliver data quickly and reliably. Traffic engineering helps avoid bottlenecks by rerouting data along less congested paths, akin to finding alternative routes during rush hour. This not only improves speed but also ensures that critical applications receive the bandwidth they require, enhancing productivity and user satisfaction.

### Techniques and Tools Used in Traffic Engineering

Network traffic engineering employs a variety of techniques and tools to achieve optimal performance. One common method is load balancing, which distributes data across multiple servers to prevent any single server from becoming overwhelmed. Additionally, Quality of Service (QoS) protocols prioritize certain types of traffic, ensuring that time-sensitive data, like video calls or financial transactions, are delivered promptly. Advanced software and analytics tools also provide real-time insights, allowing network administrators to make informed decisions and adjustments as needed.

### Challenges in Network Traffic Engineering

While network traffic engineering offers numerous benefits, it also presents several challenges. The dynamic nature of network traffic requires continuous monitoring and adaptation. Moreover, as networks grow in size and complexity, managing traffic becomes increasingly difficult. Cybersecurity threats add another layer of complexity, as engineers must balance traffic optimization with robust security measures to protect sensitive data from cyberattacks.

Understanding Network Traffic Engineering:

Network traffic engineering involves the analysis, modeling, and control of network traffic to maximize efficiency and reliability. It encompasses various aspects such as traffic measurement, traffic prediction, routing protocols, and quality of service (QoS) management. By carefully managing network resources, traffic engineering aims to minimize delays, maximize throughput, and ensure seamless communication.

• Congestion Management Techniques

Congestion is a common occurrence in networks, leading to degraded performance and delays. Various techniques are employed in network traffic engineering to manage congestion effectively. These include traffic shaping, where data flows are regulated to prevent sudden surges, and prioritization of traffic based on quality of service (QoS) requirements. Additionally, load balancing techniques distribute traffic across multiple paths to prevent bottlenecks and ensure optimal resource utilization.

• Route Optimization Strategies

Efficient route selection is a critical aspect of network traffic engineering. By utilizing routing protocols and algorithms, engineers can determine the most optimal paths for data transmission. This involves considering factors such as network latency, available bandwidth, and the overall health of network links. Dynamic routing protocols, such as OSPF and BGP, continuously adapt to changes in network conditions, ensuring that traffic is routed through the most efficient paths.

• Traffic Engineering in the Era of SDN

Software-defined networking (SDN) has revolutionized network traffic engineering by introducing programmability and centralized control. With SDN, network engineers can dynamically configure and manage traffic flows, allowing for more agile and responsive networks. By leveraging technologies like OpenFlow, SDN enables granular traffic engineering capabilities, empowering network administrators to efficiently allocate network resources and adapt to changing demands.

Key Traffic Engineering Points

-Traffic Measurement and Analysis: Accurate measurement and analysis of network traffic patterns are fundamental to effective traffic engineering. By capturing and analyzing traffic data, network administrators gain insights into usage patterns, peak hours, and potential bottlenecks. This information helps in making informed decisions regarding network optimization and resource allocation.

-Traffic Prediction and Forecasting: Network operators must anticipate future traffic patterns. Through statistical analysis and predictive modeling, traffic engineers can forecast demand and plan network upgrades accordingly. By staying ahead of the curve, they ensure that network capacity keeps up with increasing data demands.

-Routing Optimization: Efficient routing is at the core of network traffic engineering. Through intelligent routing protocols and algorithms, traffic engineers optimize the flow of data across networks. They consider factors such as link utilization, latency, and available bandwidth to determine the most optimal paths for data transmission. This helps minimize congestion and ensure reliable communication.

-Prioritization and Resource Allocation: Network traffic engineering involves prioritizing different types of traffic based on their importance. Critical services such as voice and video can be prioritized by allocating resources accordingly, ensuring smooth and uninterrupted transmission. QoS mechanisms like traffic shaping, traffic policing, and packet scheduling help achieve this.

-Load Balancing: Load balancing is another crucial aspect of QoS management. By distributing traffic across multiple paths, network engineers prevent individual links from becoming overloaded. This improves overall network performance and enhances reliability and fault tolerance.

Traffic Engineering: Cloud Data Centers

Understanding VPC Networking

Before we dive into the specifics of VPC networking in Google Cloud, let’s establish a foundation of understanding. A Virtual Private Cloud (VPC) is a virtual network dedicated to a specific Google Cloud project. It provides an isolated and secure environment where resources can be created, managed, and interconnected. Within a VPC, you can define subnets, set up IP ranges, and configure firewall rules to control traffic flow.

Google Cloud’s VPC networking offers a range of powerful features that enhance network management and security. One notable feature is the ability to create and manage multiple VPCs, allowing for logical separation of resources based on different requirements. Additionally, VPC peering enables communication between VPCs, even across different projects or regions. This flexibility empowers organizations to build scalable and complex network architectures.

VPC Peerings

Understanding VPC Peerings

VPC Peerings, or Virtual Private Cloud Peerings, are a mechanism that allows different Virtual Private Cloud networks to communicate with each other securely. This enables seamless connectivity between disparate networks, facilitating efficient data transfer and resource sharing. In Google Cloud, VPC Peerings play a pivotal role in creating robust and scalable network architectures.

VPC Peerings offer a multitude of benefits for organizations leveraging Google Cloud. Firstly, they eliminate the need for complex VPN setups or costly physical connections, as VPC Peerings enable direct network communication. Secondly, VPC Peerings provide a secure and private channel for data transfer, ensuring confidentiality and integrity. Additionally, they enable organizations to expand their network reach and collaborate effortlessly across various projects or regions.

Google Load Balancers

Load balancers are essential components in distributed systems that evenly distribute incoming network traffic across multiple servers or instances. This distribution ensures that no single server is overwhelmed, resulting in improved response times and reliability. Google Cloud offers two types of load balancers: network and HTTP load balancers.

Network Load Balancers: Network load balancers operate at Layer 4 of the OSI model, meaning they distribute traffic based on IP addresses and ports. They are ideal for protocols such as TCP and UDP, providing low-latency and high-throughput load balancing. Setting up a network load balancer in Google Cloud involves creating an instance group, configuring health checks, and defining forwarding rules.

HTTP Load Balancers: HTTP load balancers, on the other hand, operate at Layer 7 and can intelligently distribute traffic based on HTTP/HTTPS requests. This allows for advanced features like session affinity, content-based routing, and SSL offloading. Configuring an HTTP load balancer with Google Cloud involves creating a backend service, defining a backend bucket or instance group, and configuring URL maps and target proxies.

Cross Regions Load Balancing

### Understanding Cross-Region Load Balancing

Cross-region load balancing is designed to distribute traffic across multiple data centers located in different geographical regions. This strategy maximizes resource utilization, minimizes latency, and provides seamless failover capabilities. By deploying applications across various regions, businesses can ensure that their services remain available, even in the event of a regional outage. Google Cloud offers robust cross-region HTTP load balancing solutions that allow businesses to deliver high availability and reliability for their users worldwide.

### Features of Google Cloud Load Balancing

Google Cloud’s load balancing services come packed with features that make it a top choice for businesses. These include global load balancing with a single IP address, SSL offloading for better security and performance, and intelligent routing based on proximity and performance metrics. Google Cloud also provides real-time monitoring and logging, enabling businesses to gain insights into traffic patterns and optimize their infrastructure accordingly. These features collectively enhance the performance and reliability of web applications, ensuring a seamless user experience.

### Setting Up Cross-Region Load Balancing on Google Cloud

Implementing cross-region load balancing on Google Cloud is straightforward, thanks to its user-friendly interface and comprehensive documentation. Businesses can start by defining their backend services and specifying the regions they want to include in their load balancing setup. Google Cloud then automatically manages the distribution of traffic, ensuring optimal performance and resource utilization. Additionally, businesses can customize their load balancing rules to accommodate specific requirements, such as session affinity or custom failover strategies.

Network Policies & Kubernetes

The Anatomy of a Network Policy

A GKE Network Policy is essentially a set of rules defined by Kubernetes that dictate what type of traffic is allowed to or from your pods. These policies are defined in YAML files and can specify traffic restrictions based on IP blocks, ports, and pod labels. Understanding the structure of these policies is fundamental to leveraging their full potential. By focusing on selectors and rules, you can create policies that are both specific and flexible, allowing for precise control over network traffic.

### Implementing Traffic Engineering with Network Policies

Network traffic engineering with GKE Network Policies involves designing your network flow to optimize performance and security. By using these policies, you can segment your network traffic, ensuring that sensitive data is only accessible to authorized pods. This segmentation can help minimize the risk of data breaches and ensure compliance with regulatory requirements. Additionally, you can use network policies to manage traffic load, ensuring that critical services receive the bandwidth they require.

### Best Practices for Using GKE Network Policies

When implementing GKE Network Policies, it’s important to follow best practices to ensure efficiency and security:

1. **Start with a Default Deny Policy:** Begin by denying all traffic and then gradually open up only the necessary paths. This minimizes the risk of unintentional exposure.

2. **Use Pod Labels Effectively:** Ensure your pod labels are well-organized and meaningful, as these are critical for creating effective network policies.

3. **Regularly Review and Update Policies:** As your applications evolve, so should your network policies. Regular audits and updates will ensure they continue to meet your security and performance needs.

On-Premises Traffic Engineering

Recap Technology: Router on a Stick

A router on a stick is a networking method that allows for the virtual segmentation of a physical network into multiple virtual local area networks (VLANs). By utilizing a single physical interface on a router, multiple VLANs can be connected and routed between each other, enabling efficient traffic flow within a network.

Several critical components must be in place to implement a router on a stick. Firstly, a router capable of supporting VLANs and subinterfaces is required. Additionally, a managed switch that supports VLAN tagging is necessary. The logical separation of networks is achieved by configuring the router with subinterfaces and assigning specific VLANs to each. The managed switch, on the other hand, facilitates the tagging of VLANs on the physical ports connected to the router.

What is Policy-Based Routing?

Policy-based routing (PBR) allows network administrators to route traffic based on predefined policies or criteria selectively. Unlike traditional routing methods relying solely on destination IP addresses, PBR considers additional factors such as source IP addresses, protocols, and packet attributes. Thus, PBR offers greater flexibility and control over network traffic flow.

To implement policy-based routing, several steps need to be followed. Firstly, administrators must define the policies that will govern traffic routing decisions. These policies can be based on various parameters, including source or destination IP addresses, transport layer protocols, or packet attributes such as DSCP markings.

Once the policies are defined, they must be associated with specific routing actions, such as forwarding traffic to a particular next-hop or routing table. Finally, the policy-based routing configuration must be applied to relevant network devices, ensuring the desired traffic behavior.

Generic Traffic Engineering

Network traffic engineering involves optimizing and managing traffic flows to enhance overall performance. It encompasses various techniques and strategies for controlling and shaping the flow of data packets, minimizing congestion, and maximizing network efficiency.

Network traffic engineering involves analyzing, monitoring, and controlling traffic to achieve desired performance. It aims to maximize efficiency, minimize congestion, and optimize resource utilization. Network traffic engineering ensures seamless communication and reliable connectivity by intelligently managing data flows.

a) Traffic Analysis: This technique involves studying traffic patterns, identifying bottlenecks, and analyzing network behavior. By understanding the data flow dynamics, network engineers can make informed decisions to enhance performance and mitigate congestion.

b) Quality of Service (QoS): QoS mechanisms prioritize different types of traffic based on predefined criteria. This ensures critical applications receive sufficient bandwidth and low-latency connections while less important traffic is appropriately managed.

c) Load Balancing: Load balancing distributes network traffic across multiple paths or devices, preventing resource overutilization and congestion. It optimizes available capacity, ensuring efficient data transmission and minimizing delays.

Example: Multipoint GRE

When establishing secure communication tunnels over IP networks, GRE (Generic Routing Encapsulation) protocols play a crucial role. Among the variations of GRE, two commonly used types are multipoint GRE and point-to-point GRE. 

As the name suggests, point-to-point GRE provides a direct and dedicated connection between two endpoints. It allows for secure and private communication between these points, encapsulating the original IP packets within GRE headers. This type of GRE is typically employed when a direct, point-to-point link is desired, such as connecting two remote offices or establishing VPN connections.

Unlike point-to-point GRE, multipoint GRE enables communication between multiple endpoints within a network. It acts as a hub, allowing various sites or hosts to connect and exchange data securely. Multipoint GRE simplifies network design by eliminating the need for individual point-to-point connections. It is an efficient and scalable solution for scenarios like hub-and-spoke networks or multicast applications.

Example: Understanding NHRP

NHRP, at its core, is a protocol used to discover the next hop for reaching a particular destination within a VPN. It acts as a mediator between the client and the server, enabling seamless communication by resolving IP addresses to the appropriate physical addresses. By doing so, NHRP eliminates the need for unnecessary broadcasts and optimizes routing efficiency.

To comprehend NHRP’s operation, let’s break it down into three key steps: registration, resolution, and caching. A client registers its tunnel IP address with the NHRP server during registration. In the resolution phase, the client queries the NHRP server to obtain the physical address of the desired destination. Finally, the caching mechanism allows subsequent requests to be resolved locally, reducing network overhead.

IPv6 Traffic Engineering

Understanding Router Advertisement (RA)

RA is a critical component in IPv6 network configuration, allowing routers to inform hosts about their presence and available services. By sending periodic RAs, routers enable hosts to autoconfigure their IPv6 addresses and determine the default gateway for outgoing traffic.

Router Advertisement Preference refers to the mechanism by which hosts select the most suitable router among the multiple routers available in a network. This preference level is determined by various factors, including the router’s Lifetime, Router Priority, and Prefix Information Options.

Factors Influencing Router Advertisement Preference:

a) Router Lifetime: The Lifetime value indicates the validity duration of the advertised prefixes. Hosts prioritize routers with longer Lifetime values, as they provide stable connectivity.

b) Router Priority: Hosts prefer routers with higher priority values during RA selection. This allows for more granular control over which routers are chosen as default gateways.

c) Prefix Information Options: Specific Prefix Information Options, such as Autonomous Flag and On-Link Flag, influence the router preference. Hosts evaluate these options to determine the router’s capability for autonomous address configuration and on-link subnet connectivity.

Traffic Engineering with Routing protocols

Routing protocol traffic engineering is the art of intelligently managing network traffic flow. It involves the manipulation of routing paths to achieve specific objectives, such as minimizing latency, maximizing bandwidth utilization, or enhancing network resilience. By strategically steering traffic, network administrators can overcome congestion, bottlenecks, and other performance limitations.

Traffic Engineering with OSPF: OSPF (Open Shortest Path First) is a widely used routing protocol that supports traffic engineering capabilities. It allows network administrators to influence traffic paths by manipulating link metrics, enabling the establishment of preferred routes and load balancing across multiple links.

MPLS Traffic Engineering: Multiprotocol Label Switching (MPLS) is another powerful tool in traffic engineering. By assigning labels to network packets, MPLS enables the creation of explicit paths that bypass congested links or traverse paths with specific quality of service (QoS) requirements. MPLS traffic engineering provides granular control and flexibility in routing decisions.

BGP Traffic Engineering: Border Gateway Protocol (BGP) is primarily used in large-scale networks and internet service provider (ISP) environments. BGP traffic engineering allows network operators to manipulate BGP attributes to influence route selection and steer traffic based on various criteria, such as AS path length, local preference, or community values.

Traffic Engineering with EIGRP

Before diving into EFRR, let’s briefly overview the Enhanced Interior Gateway Routing Protocol (EIGRP). Developed by Cisco, EIGRP is a routing protocol widely used in enterprise networks. It provides fast convergence, load balancing, and scalability, making it a popular choice among network administrators.

Fast Reroute (FRR) is a mechanism that enables routers to swiftly reroute traffic in the event of a link or node failure. Within the realm of EIGRP, EFRR refers to the specific implementation of FRR. EFRR allows for sub-second convergence by precomputing backup paths, significantly reducing the impact of network failures.

Example: BGP Traffic Engineering with DMVPM

**Understanding DMVPN and Its Role in Modern Networks**

DMVPN is a Cisco-developed solution that simplifies the creation of scalable and dynamic VPNs. It enables secure communication between multiple sites without the need for static tunnels, significantly reducing configuration overhead. In a DMVPN setup, BGP can be utilized to dynamically adjust traffic paths, ensuring efficient use of available bandwidth and enhancing network resilience. This section delves into the intricacies of DMVPN and how it complements BGP in network traffic engineering.

**BGP Techniques for Traffic Optimization**

Utilizing BGP for traffic engineering involves various techniques, such as route reflection, path selection, and prefix prioritization. By controlling these elements, network administrators can influence the direction of data traffic to avoid congestion and minimize latency. This section provides a detailed overview of these techniques, offering practical examples and best practices for optimizing network performance in a DMVPN environment.

DMVPN Phase 2 Traffic Engineering

Resolutions triggered by the NHRP

Learning the mapping information required through NHRP resolution creates a dynamic spoke-to-spoke tunnel. How does a spoke know how to perform such a task? As an enhancement to DMVPN Phase 1, spoke-to-spoke tunnels were first introduced in Phase 2 of the network. Phase 2 handed responsibility for NHRP resolution requests to each spoke individually, which means that spokes initiated NHRP resolution requests when they determined a packet needed a spoke-to-spoke tunnel. Cisco Express Forwarding (CEF) would assist the spoke in making this decision based on information contained in its routing table.

Network Traffic Engineering Tools

Network Monitoring and Analysis: Network monitoring tools, like packet sniffers and flow analyzers, provide valuable insights into traffic patterns, bandwidth utilization, and performance metrics. These tools help network engineers identify bottlenecks, analyze traffic behavior, and make informed decisions for traffic optimization.

a) Traffic Analysis Tools

Traffic analysis tools provide valuable insights into network traffic patterns, helping administrators identify potential bottlenecks, anomalies, and security threats. These tools often use packet sniffing and flow analysis techniques to capture and analyze network traffic data.

b) Traffic Optimization Tools

Traffic optimization tools focus on improving network performance by optimizing network resources, reducing congestion, and balancing traffic loads. These tools use algorithms and heuristics to intelligently route traffic, allocate bandwidth, and manage Quality of Service (QoS) parameters.

c) Traffic Monitoring and Reporting Tools

Monitoring and reporting tools are essential for network administrators to gain real-time visibility into network traffic. These tools provide comprehensive dashboards, visualizations, and reports that help identify network usage patterns, track performance metrics, and troubleshoot issues promptly.

d) Traffic Simulation and Modeling Tools

Traffic simulation and modeling tools enable network engineers to assess the impact of changes in network configurations before implementation. By simulating various scenarios and traffic patterns, these tools help optimize network designs, plan capacity upgrades, and evaluate the effectiveness of traffic engineering strategies.

Traceroute – Understanding Network Paths

**What is Traceroute? A Peek Behind the Scenes**

Traceroute is a network diagnostic command-line tool used to track the path data packets take from a source to their destination across a network. By sending packets with gradually increasing time-to-live (TTL) values, traceroute maps out each hop along the route, revealing the IP addresses and response times of each intermediate device. This detailed map helps identify where delays or failures occur, making it an invaluable resource for network administrators and IT professionals.

**How Traceroute Works: Breaking Down the Mechanics**

The process begins with traceroute sending a series of packets with a TTL value of one. The first router along the path decrements the TTL, and when it reaches zero, the router sends back an ICMP “Time Exceeded” message. Traceroute then increases the TTL by one and sends another packet, repeating the process until the packets reach the destination. By collecting the time it takes for each “Time Exceeded” message to return, traceroute provides a list of hops, each with its associated latency.

**Practical Applications of Traceroute: Beyond Troubleshooting**

While traceroute is primarily used for diagnosing network issues, its applications extend beyond troubleshooting. Understanding the path data takes can help optimize network performance, plan network expansions, and even assess the impact of routing changes. Additionally, traceroute can be used for educational purposes, offering insights into the structure and dynamics of the internet.

Network Flow Model

In a computer network, an important function is to carry traffic efficiently, given the routing paradigm in place. Traffic engineering achieves this efficiency. Network flow models are used for network traffic engineering and can help determine routing decisions. Network Traffic engineering (TE) is the engineering of paths that can carry traffic flows that vary from those chosen automatically by the routing protocol(s) used in that network.

Therefore, we can engineer the paths that better suit our application. We can do this in several ways, such as standard IP routing, MPLS, or OpenFlow protocol. When considering network traffic engineering and MPLS OpenFlow, let’s start with the basics of traffic engineering and MPLS networking.

**Traffic Engineering Examples**

Traffic engineering is not an MPLS-specific practice; it is a general practice. Implementing traffic engineering can be as simple as tweaking IP metrics on interfaces or as complex as running an ATM PVC full-mesh and optimizing PVC paths based on traffic demands. Using MPLS, traffic engineering techniques (like ATM PVC placement) are merged with IP routing techniques to achieve connection-oriented traffic engineering. With MPLS, traffic engineering is just as practical as with ATM, but without some drawbacks of IP over ATM.

**Decoupling Routing and Forwarding**

A hop-by-hop forwarding paradigm is used in IP routing. When an IP packet arrives at a router, it is checked for the destination address in the IP header, a route lookup is performed, and the packet is forwarded to the next hop. The packet is dropped if there is no route. Each hop repeats this process until the packet reaches its destination.

Nodes in MPLS networks also forward packets hop by hop, but this forwarding is based on fixed-length labels. MPLS applications such as traffic engineering are enabled by this ability to decouple packet forwarding from IP headers.

Understanding MPLS Forwarding

MPLS, or Multi-Protocol Label Switching, is used in telecommunications networks to efficiently direct data packets based on labels rather than traditional IP routing. This section will provide a clear and concise overview of MPLS forwarding, explaining its purpose, components, and how it differs from conventional routing methods.

Implementing MPLS forwarding requires careful planning and configuration. This section will provide step-by-step guidance on deploying MPLS forwarding in a network infrastructure. From designing the MPLS network architecture to configuring routers and establishing Label Switched Paths (LSPs), readers will receive practical insights and best practices for a successful implementation.

Example Technology: Next-Hop Resolution Protocol

1: NHRP, or Next Hop Resolution Protocol, is vital in dynamic address resolution. It enables efficient communication between devices in a network by mapping logical IP addresses to physical addresses. By doing so, NHRP bridges the gap between network layers, ensuring seamless connectivity.

2: The operation of NHRP involves various components working in tandem. These components include the Next Hop Server (NHS), Next Hop Client (NHC), and Next Hop Forwarder (NHF). Each element performs specific tasks, such as address resolution, maintaining mappings, and forwarding packets. Understanding the roles of these components is critical to comprehending NHRP’s functionality.

3: Implementing NHRP offers numerous benefits in networking environments. First, it enhances network scalability, allowing devices to discover and connect dynamically. Second, NHRP improves network performance by reducing the burden on routers and enabling direct communication between devices. Third, it enhances network security by providing a secure mechanism for address resolution.

4: NHRP is used in various scenarios. One everyday use case is Virtual Private Networks (VPNs), where NHRP enables efficient communication between remote sites. It is also employed in dynamic multipoint virtual private networks (DMVPNs) to establish direct tunnels between multiple sites dynamically. These use cases highlight the versatility and significance of NHRP in modern networking.

MPLS and Traffic Engineering

The applications MPLS enables will motivate you to deploy it in your network. Traditional IP networks are either incapable of supporting these applications or are challenging to implement. Traffic engineering and MPLS VPNs are examples of such applications. This book is about the latter. In the sections below, we will discuss MPLS’s main benefits:

• Routing and forwarding can be decoupled.
• IP and ATM integration should be improved.
• Providing the basis for building next-generation network applications and services, such as MPLS VPNs and traffic engineering

MPLS TE combines IP class-of-service differentiation and ATM traffic engineering capabilities. A Label-Switched Path (LSP) enables the construction of a network and traffic forwarding down it.

As with ATM VCs, an MPLS TE LSP (a TE tunnel) enables the headend to control the path traffic takes to a particular destination. This method allows traffic to be forwarded based on various criteria rather than just the destination address.

Due to MPLS TE’s inherent nature, ATM VCs and other overlay models do not suffer from flooding problems like MPLS TE. To construct a routing table with MPLS TE LSPs without forming a full mesh of routing neighbors, MPLS TE uses an autoroute mechanism (unrelated to the WAN switching circuit-routing protocol of the same name).

In the same way ATM reserves bandwidth for LSPs, MPLS TE does the same when it builds LSPs. If you reserve bandwidth for an LSP, your network becomes a consumable resource. As new LSPs are added, TE-LSPs can find paths across the network with bandwidth available to reserve.

Performance-Based Routing

Understanding Performance Routing

Performance Routing, or PfR, is an intelligent routing mechanism that optimizes network traffic based on real-time conditions. Unlike traditional routing protocols, PfR goes beyond static routing tables and dynamically selects the best path for data packets to reach their destination. This dynamic decision-making is based on congestion, latency, and link quality, ensuring an optimal end-user experience

PfR operates by continuously monitoring network performance metrics such as delay, jitter, and packet loss. It collects this data from various sources, including network probes and flow-based measurements. Using this information, PfR dynamically calculates the best path for each data flow, considering factors like available bandwidth and desired Quality of Service (QoS). This intelligent decision-making process happens in real time, adapting to changing network conditions.

Related: You may find the following posts helpful for pre-information:

1. Transport SDN
2. Network Visibility
3. Load Balancing
4. Chaos Engineering Kubernetes
5. Segment Routing
6. What is OpenFlow
7. DMVPN Phases