This paper presents a policy-based management framework for GMPLS-enabled optical networks. First, the ASON (Automatic Switched Optical Networks) and GMPLS (Generalized Multi-Protocol Label Switching) architecture are presented. We will explain how the policy plane relates to the control and management plane, and the role it plays in the dynamic configuration of GMPLS optical paths. We will present a framwork based on an admission control protocol COPS) Common Open Policy Service) defined by the IETF (Internet Engineering Task Force) and on an Information Model based on the CIM (Common Information Model) model defined by DMTF (Distributed Management Task Force). This framework allows interworking between the policy and control plane, and provides a comprehensive policy provisioning setup for optical networks. An information model extended from CIM for managing dynamically configured optical networks is presented.
This paper presents a Policy-based Control Plane, which allows Carrier Optical Network to dynamically configure and deploy Optical Virtual Private Networks (Optical VPNs) over multiple administration domains. A configurable policy-based control mechanism is required to regulate and control the information propagation across both UNI and NNI interfaces and the actions allowed on behalf of the users. The proposed framework extend the ITU Control Plane by adding based IP-centric policy mechanisms like admission control protocol COPS (Common Open Policy Service).
Traffic engineering must be concerned with a broad definition of service that includes network availability, reliability and stability, as well as traditional traffic data on loss, throughput, delay and jitter. MPLS and Virtual Private Networks (VPNs) significantly contribute to security and Quality of Service (QoS) within communication networks, but there remains a need for metric measurement and evaluation. The purpose of this paper is to propose a methodology which gives a measure for LSP ( Lfew abel Switching Paths) metrics in VPN MPLS networks. We propose here a statistical method for the evaluation of those metrics. Statistical methodology is very important in this type of study since there is a large amount of data to consider. We use the notions of sample surveys, self-similar processes, linear regression, additive models and bootstrapping. The results obtained allows us to estimate the different metrics for such SLAs.
Monitoring is the part of Traffic Engineering (TE) that aims at optimizing the use of network resources and assists both in informing the provider and proving to the customer that the service offered respects the SLAs required to optimize the network resources utilization. In this paper, we present a monitoring framework for MPLS-VPN services. We first briefly review MPLS, VPN, NBVPN, Constrained Based Routing to provide a background for the discussion of traffic Engineering. We then discuss the general issues surrounding the design of a MPLS VPN from the point of view of TE and go on to present a management framework that extends the DEN information specific to MPLS VPNs. In this framework, we add policy actions that react dynamically to abnormal results by changing the sampling frequency.
This paper proposes an approach for the dynamic management of MPLS-based VPNs, MPLS and VPNs significantly contribute to achieve QoS within networks but there remain dynamic management problems associated with their use. We believe that these problems can be solved by using a policy model; such an approach also enables subscribers to keep control of their VPNs and share information with service providers. We used a PCIM-enable network model to account for the peculiarities of the two technologies and combined the resulting schema with COPS and the necessary policy tools. The resulting framework was then tested on a MPLS network. The results show that, with some limitations, the approach does provide the expected functionality.