A policy-based management architecture for active and programmable networks

Abstract

__c__. INext-eneration networks must be capable of supporting a multitude of service and quickly adapted over a common heterogeneous physical infrastructure, according to varying and sometimes conflictin customer requirements. In this context, network management must become more fyexible in order to cope with these emerging conditions. More specifically, new management architectures must offer service providers the freedom to mana e their services according to their own policies and seamlessly extend management?unctionality os the only way to react to the introduction of new services. Based on a new business model that describes such an environment, we propose o policy-based management architecture that is extensible and operates i n an active and programmable network. This management architecture is part of a new network architecture that was developed in the FAIN European Union research aid development IST project. provi B ers that exploit an environment in which services are dynamically deployed n the world of networking we are experiencing a significant paradigm shift resulting in new technologies and architectures. The motivation behind this shift is the still elusive goal of rapid and autonomous service creation, deployment, activation, and management resulting from new customer and application requirements. Research activity in this area has clearly focused on the synergy of three concepts: network virtualization, open interfaces and platforms, and increasing degrees of intelligence inside the network.Management, as a key component of a network architecture; must also be considered and designed around the same concepts. To this end, the management architecture must support the coexistence of different management strategies, facilitating customization and interoperation with different vendors' equipment. Management must also be dynamically extensible to support the deployment and operation of new services.In this article we describe the management aspects of a new network architecture designed and implemented as part of the Future Active IP Networks (FAIN) European Union R&D IST project [l]. The main objective of the FAIN project is to develop an active network (AN) architecture oriented toward dynamic service deployment in heterogeneous networks. This architecture.encompasses the design and implementation of active nodes that support different types of execution environment, policy-based driven network management, and a platform-independent approach to service specification and deployment. The architecture is deployed and evaluated in a pan-European testbed. ,The FAIN management architecture encapsulates the three aforemcntioned concepts and is built in accordance with the Internet Engineering Task Force's (IETF's) policy-based management framework [Z]. used in an active network environment. As a consequence, it inherits the features o f this enabling technology, which are then applied to this new prohlem space.Wc briefly introduce the FAIN business model on which the management architecture is based. We g...

Resource Control and Prediction Management for Quality of Service in Heterogeneous Active Networks

“…The issue of determining the CPU requirement for active packet can be resolved by introducing a policy base [13,16] at the active node. Combined scheduling algorithms which could schedule both CPU and bandwidth resources adaptively and fairly among all the competing flows can be applied.…”

Policy-based self-management of wireless ad hoc networks

“…In the Ponder framework, PO are organised and managed in domains, following a hierarchical organisation [108]. [169]).…”

“…Finite state machines and automata have been employed for managing the states and transitions in stateful PBM systems (e.g. DEN-ng[136], FAIN[169]). The proposed states' diagram is provided as a guideline, while thorough modelling of a stateful PO management protocol is out of the scope of this thesis.Lifecycle management states guide the behaviour of an instantiated PO in the volatile memory of the hosting device.…”

IoT Network Attack Detection and Mitigation

“…Since IoT devices can carry out real-time measurements and controls much faster than human reaction times, we must design IoT networks that both detect and mitigate security risks automatically and adaptively, while preserving Quality of Service (QoS), and energy efficiency [6], [14]. Thus we propose an autonomic [15] scheme offering (a) distributed attack detection based on deep learning (DL) and graph neural networks to achieve high detection probabilities with low false alarm rates [16], [17], and (b) mitigation that exploits network Self-Awareness [18], [19] centered on Software Defined Networks [20] to achieve secure QoS based routing of traffic flows using machine learning and adaptivity [21], [22].…”