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combining simple queue tree for traffic congestion management on routeros

this tutorial provides a comprehensive guide on using a simple queue tree structure on a routeros device (e.g., mikrotik router) to manage traffic congestion effectively. we'll cover the fundamental concepts, configuration steps, and code examples, focusing on practical implementation.

*why use queue trees for congestion management?*

traditional simple queues are often sufficient for basic rate limiting and prioritizing individual clients. however, they fall short when dealing with complex network scenarios involving multiple types of traffic, shared resources, and dynamic congestion. queue trees offer several advantages:

*hierarchical bandwidth management:* you can create a hierarchy of queues, organizing traffic flows logically. this allows you to prioritize essential services while limiting less critical applications, even when bandwidth is scarce.
*flexible matching and prioritization:* queue trees use firewall rules (mangle rules) to classify traffic, providing granular control over which packets belong to which queue. this allows you to differentiate between, for example, web browsing, video streaming, and file downloads.
*dynamic adjustment:* you can use scripting to dynamically adjust queue parameters (e.g., bandwidth limits) based on network conditions or time of day.
*centralized control:* a queue tree offers a centralized point for managing and monitoring bandwidth usage across your network.

*core concepts*

before diving into the configuration, let's understand the key concepts involved:

1. *mangle rules:*
these rules, configured in the `/ip firewall mangle` section, are used to mark packets based on various criteria (source/destination ip addresses, ports, protocols, etc.).
we'll use mangle rules to assign packets to specific queue trees. the `passthrough` option in the mangle rule is crucial; set it to `no` if you only want to mark packe ...

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