The NETQOS project proposes an autonomous policy-based management for wired/wireless heterogeneous communications networks aimed to provide enhanced end-to-end QoS and efficient resource utilisation. The proposed approach assembles policies at run-time under sets of imposed constraints and goals, based on learning and context identification. The automation of network level policy management allows for dynamic adaptation of the managed system in response to changing requirements of the operational environment while coping with the originally imposed business objectives.
The new approach gives more flexibility to users and applications to dynamically change their
Quality of service (QoS) requirements while maintaining a smooth delivery of the required QoS. Management of communication systems refers to the task of configuring, administering and optimizing the network resources. One aspect of management that best exemplifies the magnitude of those challenges is encountered in QoS provisioning. QoS management refers to the activities in QoS specification, negotiation, monitoring and control of network resources to meet end-to- end users and applications requirements, business objectives and resources availability. The notion of predefined policies has been introduced as a promising solution to address the needs for automated adaptation and optimisation of QoS, traffic and resources.
Policies prescribe a set of rules that guide the behavior of network components for delivery of QoS to different application classes according Service Level Agreements (SLA). Once defined by administrators or network operators, these policies are translated into network level policies and stored in a policy repository, where they are subsequently retrieved and enforced as needed.
Taking all these issues into account, NETQOS proposes an autonomous self-adaptable policy-based management framework with inherent dynamic capabilities to best manage, customize and extend the underlying complex infrastructure of communication systems resources in response to the continuously changing business objectives and users requirements. Different kinds of interacting policies, such as for network management, transport and resource usage, are collected and automatically processed to ensure QoS guarantees according to SLA. For efficient QoS adapation, the policy framework has to be defined considering events and patterns obtained from monitoring, measurement and modelling systems.