Multi-Objective Third-party Approach for Service Class Mapping among Multiple Providers in the Internet

Abstract

The third party (3P) model has been recognized as a perspective approach for different interprovider quality of service (QoS) solutions. In this paper, we address 3P-based mapping of services classes among heterogeneous providers' networks, which constitute an end-to-end (E2E) path. We propose and investigate a novel, highly flexible mapping scheme, which enables fulfillment of E2E network performance objectives, whereas minimizing interconnection costs. Starting from E2E service requirements, the proposed scheme uses goal programming technique to select the most appropriate service class in each domain on the path. Results of the comparative analysis of the proposed scheme and the two existing 3P-based schemes have clearly demonstrated superiority of our proposal in terms of accuracy, flexibility, and capability to support deployment of various business objectives. IndexTerms-Goal programming, interprovider negotiation, third party, quality of service. I. INTRODUCTIONRecent trends in Internet development including cloud computing, mobility, content distribution, Internet of things, and the big data paradigm pose new architectural challenges for network interconnection in the future Internet [1]. Enhanced solutions for quality of service (QoS) provisioning are still needed, particularly regarding end-to-end (E2E) service negotiation, performance monitoring and measurements for inter-domain performance assessment. The basic bilateral approach [2], which assumes service negotiation only between the adjacent providers, fails to meet E2E requirements. On the other side, heterogeneity of the existing providers' networks, including different intradomain QoS architectures, complicates the problem of establishing QoS-enabled E2E paths.The third-party (3P) approach has been recognized as a promising solution for the interprovider QoS delivery [3]. It assumes that a trusted, authorized intermediary (3P agent) Manuscript

A Centralized Model for Establishing End-to-End Communication Services via Management Agents

“…solves the problem of different definition and specification of service classes, which might be implemented in domains on E2E path. Different static and dynamic policies are applicable for the selection of the most suitable class in every domain [16,17,18,23].…”

“…After class mapping QoS conformance evaluator is activated. This entity first determines the conformance of the offered E2E QoS with the requested one according to some predefined criteria [16,17,18]. Second, it checks whether each domain on the path fulfils the required QoS objectives.…”

“…3P-based algorithms for dynamic class mapping are also proposed in [17] and [18]. Both of them assume that the 3P agent collects providers' offers regarding performance metrics and interconnection costs for all classes in their domains.…”

“…Per-domain class selection is then performed based on the exact fulfilling of QoS requirements and minimizing costs. The second algorithm uses the goal programming optimization model to control QoS mapping parameters coupled with E2E service requirements, and also takes into account interconnection costs [18]. This solution allows certain deviation from QoS requirements to achieve a tradeoff between QoS fulfilment and costs.…”

An Effective Hierarchical Control Plane for Software-Defined Networks Leveraging TOPSIS for End-to-End QoS Class-Mapping

“…Several approaches exist for inter-domain class mapping on the E2E level in the traditional networking architecture [18]- [20]. In [18], the authors proposed a policy-dependent conformance matching scheme (P-CMS) as an extension of CMS using a third-party (3P) approach.…”