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Sla Framework for Enriched Experience Networks Using Policy Based Dea

This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

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Preprint: policy unknown
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Postprint: policy unknown
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Published version: policy unknown

Abstract

A Service Level Agreement (SLA) [3] is a service contract between a customer and a service provider that specifies the forwarding service a customer should receive. A customer may be a user organization (source domain) or another domain [16]. Enriched Experience Networks (EEN) TM is a new form of broadband network, which requires an adaptable approach to service management that allows for personalized and ubiquitous services, which are available, on-demand. EEN is the application of Quality of Experience (QoE) concepts to Service-Enabled networks [1]. Quality of Experience (QoE) of a customer is defined as the level of satisfaction with a service from the perspective of that customer, based on their needs, wants and expectations [2]. Thus in EEN, customer needs and expectations are more focused and service provided in accordance to that. EENs require regular and fairly instantaneous interactions between the customer and the network. SLAs between the customer and the Infrastructure provider therefore needs to be more dynamic to be more customers focused. But SLA is a very static procedure, which is rather performed manually [3]. Thus in this paper we propose a Policy Based SLA Framework and a mathematical model which uses Data Envelopment Analysis (DEA) to provide more customer focused services in EEN. INTRODUCTION An EEN is a multi-service, technology-agnostic network that focuses on customer needs and expectations to maximize the perceived value of the services to the customers. It is a new form of broadband network which requires an adaptable approach to service management that allows for personalized and ubiquitous services. Quality of Experience (QoE) of a customer is defined as the level of satisfaction with a service from the perspective of that customer, based on their needs, wants and expectations. It is so important that perception of quality is matched with the value of the service to the customer. Next Generation Networks (NGN) implies convergence of the services to be offered, because a diverse collection of individual needs can be met by the use of one set of communications infrastructure. By focusing more on bit-pipe services and multiple service convergence and by not addressing QoE, NGNs have suffered. Thus Enriched Experience Network (EEN) has evolved which is the application of Quality of Experience (QoE) concepts to service-enabled networks. In EEN Service Level Agreement play a crucial as effective agreement must be made with focus on the customer needs. Service Level Agreement (SLA) is a static procedure, usually performed manually. But EEN expects that the service offered to the customer be more dynamic to satisfy their demands. Hence there is a compelling need to automate the Service Level Agreement between the customer and the infrastructure provider. In this paper we propose mathematical model Policy Based architecture for Service Level Trading between the customer and the infrastructure provider. The rest of the paper is organized as follows: A Mathematical Model for Service Level Agreement is given in Section 1. Policy Based architecture for SLA trading is given in section 2. Policy Specification for the SLA trading and Test Results are given in section 3 and 4. Conclusions are drawn in section 5.