Stochastic MCDM Framework Over Converged Infrastructure

Abstract

Service unification and application integration have brought about vendors, network operators, service providers, car- riers, businesses and infrastructures over a platform while offering the business plans, presenting solution packages, proposing virtualization strategies and outsourcing the resources whereas promising an all Internet Protocol (IP) setup. Diverse business goals from distinctive providers alongside the technology merger and service unification in addition to dynamic border traffic management issues introduce more complexity over such platforms. A decision-making frame- work for handling the border traffic management issues at private public network with multi homing support is presented. Augmented Multi Criteria Decision Making (MCDM) theory addresses the qualitative entities while constructing the structural hierarchy of goals, criteria, sub criteria and alternatives. Inter/Intra-domain knowledge over different planes (service, control and transport) is modeled by using ontology. Blending ontology with Bayesian captures uncertainty over the planes. A simple use-case is presented over the test-bed to validate the proposed solution. The system offers higher throughput with lower call/session/request drop at the cost of an add-on delay.