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INSECTS
» FireFly (Firewall)
» GNAT (NAT)
» ClassHopper (CBQ)
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Related Information

Avail of the resources and expertise of TeamF1’s professional services team to help you build customized implementations of ClassHopper solutions such as support for custom queuing disciplines, hardware integration and custom configuration for easy provisioning.

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ClassHopper
ClassHopper
Alternate Queuing Disciplines
ClassHopper is a small-footprint, high performance embedded alternate queuing discipline framework which includes classification mechanisms such as CBQ/WFQ for QoS management. It includes the ability to integrate with any classifiers in network packets including QoS tags in layer-2 (802.1p) and layer-3 headers (ToS bits). ClassHopper performs traffic classification, conditioning and scheduling in the input as well as output directions, enabling bandwidth control for different packet types. It also enables the network stack to handle overload conditions gracefully with selective packet discard and for effective avoidance of Denial of Service attacks at the network layer or higher.
In a Nutshell

ds-3.0

Highlights Product Overview
Traffic Prioritization
Today’s heterogeneous networks use a variety of protocols which creates an acute need to prioritize traffic to satisfy time-critical applications such as audio/video streaming while fulfilling the needs of less time-dependent applications, such as file transfers. Without active management of QoS in the network stack, different classes of traffic may share the same network queues and can interact with one another in ways that adversely affect application performance. ClassHopper enables the use of sophisticated queuing disciplines instead of the standard tail-drop queues used in network stacks. This enables a tightly controlled yet flexible system of traffic prioritization and congestion management for network packets based on criteria such as Layer 2 fields (such as VLAN tags and 802.1p prioritization fields), Layer 3 fields (ToS bits, source and destination IP addresses or TCP/UDP ports), or any custom fields within a network packet.

Customization Flexibility

Available in full-source format

Modular design enables overriding the class management, estimator, and scheduler

Controllable timer granularity for traffic bursts

Framework for adding custom queuing disciplines

Customization hooks and callouts

Unwanted components can be scaled out

Flexible Framework
The ClassHopper framework contains APIs that provide:
Abstractions to support a wide variety of QoS functions.
A platform to easily implement new queuing disciplines without knowledge of the underlying kernel implementation.
A system model with 3 independent components.
 
Classifier: classifies a packet to a scheduling class based on predefined rules.
Queuing Discipline: implements packet scheduling and buffer management algorithms.
Queue Regulator: limits the amount that a driver can dequeue at a time.
A string based command interface to configure the system parameters and functionality.
Queuing Disciplines
ClassHopper’s ALTQ (alternate queues) system allows various queuing disciplines and traffic conditioning models to be seamlessly implemented using the framework.
These include:
CBQ: Class Based Queuing.
WFQ: Weighted-Fair Queuing.
RED: Random Early Detection.
ECN: Explicit Congestion Notification.
RIO: RED with IN and OUT.
Flow-valve.
H-FSC: Hierarchical Fair Service Curve.
A complete reference implementation of CBQ and WFQ is included with ClassHopper and can be used as a guide to implement any of the above disciplines, or custom disciplines using the provided framework.

INSECTS "BUMP-ON-THE-STACK" MODEL

Management Support
ClassHopper supports an easily customizable management interface presented through a string-based command layer, which can be controlled through a web-server, with structured data files such as XML or via a CLI. ClassHopper’s rules can be very flexibly implemented using a variety of criteria including custom field specifications based on headers at Layer 2 (data-link layer) or higher. These fields can be used for classification of incoming traffic as well as for tagging outgoing traffic. This combined with the highly flexible framework for adding custom queuing disciplines enables the provisioning of highly sophisticated congestion management and traffic prioritization policies, and enabling end-to-end QoS.
 

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